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Intelligent micro/nanorobots based on biotemplates

Ting Chen a, Yuepeng Cai b, Biye Ren *a, Beatriz Jurado Sánchez *c and Renfeng Dong *bd
aSchool of Materials Science and Engineering, South China University of Technology, Guangzhou 510640, China. E-mail: mcbyren@scut.edu.cn
bSchool of Chemistry, South China Normal University, Guangzhou 510006, China. E-mail: rfdong@m.scnu.edu.cn
cDepartment of Analytical Chemistry, Physical Chemistry, and Chemical Engineering Universidad de Alcala, Alcala de Henares, E-28802 Madrid, Spain. E-mail: beatriz.jurado@uah.es
dSchool of Chemistry and Chemical Engineering, Key Laboratory of Clean Energy Materials, Chemistry of Guangdong Higher Education Institutes Lingnan Normal University Zhanjiang, Guangdong 524048, P. R. China

Received 31st January 2024 , Accepted 22nd March 2024

First published on 22nd March 2024


Abstract

Intelligent micro/nanorobots based on natural materials as biotemplates are considered to be some of the most promising robots in the future in the microscopic field. Due to the advantages of biotemplates such as unique structure, abundant resources, environmental friendliness, easy removal, low price, easy access, and renewability, intelligent micro/nanorobots based on biotemplates can be endowed with both excellent biomaterial activity and unique structural morphology through biotemplates themselves and specific functions through artificial micro/nanotechnology. Thus, intelligent micro/nanorobots show excellent application potential in various fields from biomedical applications to environmental remediation. In this review, we introduce the advantages of using natural biological materials as biotemplates to build intelligent micro/nanorobots, and then, classify the micro/nanorobots according to different types of biotemplates, systematically detail their preparation strategies and summarize their application prospects. Finally, in order to further advance the development of intelligent micro/nanorobots, we discuss the current challenges and future prospects of biotemplates. Intelligent micro/nanorobots based on biotemplates are a perfect combination of natural biotemplates and micro/nanotechnology, which is an important trend for the future development of micro/nanorobots. We hope this review can provide useful references for developing more intelligent, efficient and safe micro/nanorobots in the future.


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Ting Chen

Ting Chen has been a PhD student at the School of Materials Science and Engineering, South China University of Technology (SCUT), since 2020. Her research interests focus on the template preparation of micro/nanorobots for detection and biomedical applications, including hard and soft templates.

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Yuepeng Cai

Yuepeng Cai received his PhD degree in 2002 from Sun Yat-Sen University under the supervision of Prof. Bei-Sheng Kang. He became a professor of chemistry at South China Normal University (SCNU) in 2004 and has served as the dean of the School of Chemistry at SCNU in 2019. His current research interests focus on the synthesis of nanomaterials and their applications in energy conversion and storage.

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Biye Ren

Biye Ren obtained his PhD degree from South China University of Technology (SCUT), China in July 1999. He is now a full professor and doctoral supervisor at the School of Materials Science and Engineering, South China University of Technology, China. His research interests focus on controllable polymer self-assembly, resin synthesis and application, and the application of micro/nanorobots.

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Beatriz Jurado Sánchez

Beatriz Jurado Sánchez has been an Associate Professor at the University of Alcalá (Madrid, Spain) since 2022. From 2017 to 2022 she was a Ramón y Cajal researcher at the same University. She received her PhD in chemistry from the University of Cordoba in 2009. In 2013 she was awarded the prestigious Marie Curie IOF fellowship. Prof. Jurado has co-authored over 89 scientific papers (H Index = 38), 5 book chapters and more than 20 communications in international conferences. Her current research interests focus on self-propelled micromotors for analytical and biomedical applications. She is currently an Associate Editor for RSC Advances and an Early Advisory Board Member of Analytical Chemistry.

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Renfeng Dong

Renfeng Dong is currently an associate professor at School of Chemistry, South China Normal University (SCNU). He obtained his PhD degree in Materials Science from South China University of Technology (SCUT) in 2016. He has been a joint PhD student in the University of California, San Diego (UCSD) from 2012–2014 and a CSC fellow. He was a postdoctoral fellow at SCNU from 2016–2018. His current research interests focus on nanomotors, functional micro/nanomaterials, self-propelled nanosystems.



Wider impact

This review aims to be a comprehensive, authoritative, critical, and accessible review of general interest to the scientific community because it covers the recent progress and application of natural biological materials as biotemplates for developing micro/nanorobots, including the common plant tissues, bacteria, cells, and microalgae available in nature. Utilizing natural materials as biotemplates to obtain intelligent micro/nanorobots is a new trend in recent years due to their elegant structures and abundant surface functional groups. To further expand the potential of intelligent micro/nanorobots for applications, several challenges should be urgently considered and addressed. This review will target a broad audience from chemistry, biochemistry to environmental chemistry communities. Main applications covered will be targeted to the chemical/biochemical field, including drug delivery, biological sensing, bacterial inactivation and environmental remediation approaches via chemical sorption and degradation. Firstly, the advantages of biotemplates, preparation processes and propulsion modes of micro/nanorobot synthesis using biotemplates with different structures are systematically introduced. Secondly, based on the characteristics of biotemplates, their intelligent applications in environmental chemistry and biomedicine are elaborated. Finally, the current problems and challenges in synthesizing intelligent micro/nanorobots are reviewed, along with future prospects (to stimulate further research in the scientific community).

1. Introduction

With the continuous development of robot technology, robots with different functions play a more critical role in various fields and have become humans right-hand men.1 However, when the robot operations need to enter from the macro scale to the micro scale, such as intravascular drug transportation and intracellular micro-operation, macro robots should be reduced in size to reach the target location to complete the established tasks.2 Thus, it is urgent to develop microrobots or nanorobots that can work at the micro/nano scale, namely micro/nanorobots. Micro/nanorobots mainly refer to artificial robots that convert energy (such as chemical energy,3 light,4 electric energy,5 magnetic field,6 and ultrasonic wave7) from the external environment into their motion.8,9 Owing to the controllable motion behavior and the high efficiency of micro/nanorobots, they displayed significant potential for various applications, such as environmental remediation,10 biodetoxification,11 detection,12 active drug delivery,13 and micro/nanosurgery.14 Based on the different applications of micro/nanorobots, various preparation methods, shapes, and material sources have emerged.15 Due to the significant differences in structures and material sources, optimizing the structures and materials of these micro/nanorobots for broader applications is necessary. Despite significant micro/nanorobot fabrication achievements, conventional chemical or artificially synthetic materials emerge with obvious limitations, such as low structural reproducibility, low batch fabrication efficiency and high prices.

The fine structure and easy accessibility of natural organisms have inspired researchers.16 In order to survive in nature, organisms gradually acquire the ability to adapt to various changes in complex natural environments. They have evolved a large number of dominant structures and biological forms in the process of continuous evolution and can accurately control these morphological structures at the micro or nano scale through their regulatory mechanism.17 From the natural calcified biotube crystals, hollow fibers, helix vessels, and spiny protrusion pollen to magnetostatic bacteria and nature cells, biotemplates can generate various highly ordered hierarchical structures and unique biological activities on different size scales. At the micro and nanometer scales, their structures often have an advanced level of intricacy that rivals the sophistication of current engineered materials and systems.18 In addition, the surface of biotemplates is rich in active functional groups that can be used directly for synthesis, avoiding the tedious chemical synthesis process.19 Therefore, in recent years, many researchers have achieved through biotemplates the morphological and functional diversification of synthetic materials that meet the environmental protection requirements for materials. Biotemplates can effectively transform highly structured natural structures into multifunctional materials through artificial modification, such as using plant fibers, microalgae, cell membranes, and bacteria to prepare functional materials with diverse shapes and functions.15 In addition, using biotemplates as raw materials has many advantages, such as unique configuration, high morphological repeatability, abundant resources, environmental friendliness, easy removal, cheap, easy availability, and renewability.20,21 It is a new method and way to obtain micro/nanorobots with special structures.22 Natural biotemplates with inherent good biocompatibility and a delicate structure provide new opportunities for preparing multifunctional micro/nanorobots.23

Using the natural structure of biotemplates solves the challenging problems encountered in research to a certain extent. Integrating biotemplates and micro/nanotechnology not only retains the biological activity of biotemplates and excellent structural characteristics but also enables artificially specific functions via micro- and nanotechnology. Thus, it promotes the development of micro/nanorobots for application in environmental purification, drug delivery, imaging diagnosis, and cancer treatment.24,25 Here, we cover the recent progress and application of natural biological materials as biotemplates for developing micro/nanorobots, including the common plant tissues, bacteria, cells, and microalgae available in nature (Scheme 1). Firstly, the advantages of biotemplates, preparation processes and propulsion modes of micro/nanorobot synthesis using biotemplates with different structures are systematically introduced. Secondly, based on the characteristics of biotemplates, their intelligent applications in environmental chemistry and biomedicine are elaborated. Finally, the current problems and challenges in synthesizing intelligent micro/nanorobots are reviewed, and the future development of intelligent micro/nanorobots for intelligent applications is predicted, which provides new prospects for overcoming some urgent challenges in further applications.


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Scheme 1 Template sources and applications of intelligent micro/nanorobots.

2. Fabrication of intelligent micro/nanorobots

Using biotemplates to prepare functional micro/nanorobots has an alluring prospect and more merits than traditional artificial synthetic materials.26 First, biotemplates have the advantages of vast sources, strong renewability, low cost, etc.27 Second, natural biotemplates have unique structures, including needle-like biological calcification tubes, sea urchin-like pollen, spherical chlorella, and spiral spirulina. Their unique structure is shown in Fig. 1A. These biotemplates are uniform in shape, widespread and reproducible, and can be directly collected or cultivated from the external environment. For instance, pollen spores, yeast microorganisms, and microalgae with micro/nanosphere characteristics can be obtained through large-scale cultivation.28 However, traditional artificial synthetic materials require a high cost and will discharge pollutants harmful to the environment.29 Third, the surface of a biotemplate is rich in active functional groups, which chemical reactions can modify.30 For example, the cell wall of microalgal cells and yeast is usually composed of cellulose, mannan, dextran, etc., which contain rich glycosidic bonds and hydroxyl functional groups and can conduct a series of polymerization reactions to introduce specific functional groups.20,31 More importantly, chemical reactions can also convert these groups into new active groups. The naturally formed functional groups avoid the use of tedious chemical synthesis steps.19 Fourth, the thermal stability of a biotemplate is poor and can be volatilized by high-temperature pyrolysis and carbonization without residue.27 Finally, biotemplates, as drug carriers, are non-toxic and harmless to the body and have good biocompatibility.32 It is worth mentioning that living organisms self-propelled micro/nanorobots providing unique advantages for their applications because they can achieve active propulsion without external fuels or energies.33,34 In short, biotemplates have attracted more and more attention due to their irreplaceable advantages over other template materials. Therefore, the material sources of intelligent micro/nanorobots were classified in this section.
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Fig. 1 Typical structure of natural biotemplates and manufacturing strategies of micro/nanorobots. (A) Natural biotemplates with different structures. (B) A brief description of the fabrication process of micro/nanorobots using natural biotemplates. (C) Fabrication schemes of typical biotemplates used for preparing micro/nanorobots.

The feasibility of the fabrication strategy must be considered when selecting a biotemplate and artificial carriers with specific structures for a specific application. In a comprehensive consideration, the manufacturing strategy is mainly divided into two steps: chemical precipitation and chemical adsorption. The basic process of manufacturing functional micro/nanorobots using a biotemplate is shown in Fig. 1B. First, the target micro/nanomotor is prepared by selecting a specific structure to replicate the template's external shape or internal structure.35 Subsequently, the functional material is loaded on the surface of the micro/nanomotor by artificial modification to achieve specific applications. To better demonstrate the preparation process, two typical biotemplates (sunflower and spirulina) are shown as biotemplates for preparing multifunctional micro/nanorobots. As shown in Fig. 1C, when the sunflower pollen is used as a biotemplate, it is first necessary to obtain individual pollen particles via separation, then a layer of metal or metal oxide is deposited on their surface for propulsion, and finally, drugs can be loaded. When spirulina is used as a biotemplate, it can be directly used for preparing micro/nanorobots without pretreatment. Similarly, magnetic metals or metal oxides can be deposited on its surface by chemical deposition, and then drugs can be loaded onto its surface through surface modification to obtain magnetically propelled micro/nanorobots. In recent years, significant progress has been achieved in transforming biotemplates into functional micro/nanorobots, and various natural materials as new material sources have been introduced in several fields of materials science. According to the different sources of biotemplates, they can be roughly divided into four categories. Therefore, this section highlights several common biotemplates used to fabricate intelligent micro/nanorobots and their main preparation processes.

3. Classification of intelligent micro/nanorobots

3.1. Plant tissue-based micro/nanorobots

Functional micro/nanorobots usually use chemical materials as precursors with complex preparation processes and harsh reaction conditions. In addition, it can greatly increase the production cost of the materials and seriously hinder the application of micro/nanorobots to some extent.36 Therefore, seeking resource-rich, inexpensive, and readily available new materials to replace traditional chemical materials is significant for large-scale production of low-cost functional micro/nanorobots. Plants are multicellular eukaryotes, one of the primary forms of life, including trees, shrubs, grasses, ferns, vines, mosses, etc. The number of species exceeds 300[thin space (1/6-em)]000, and they cause no pollution, are easy to obtain, and have highly regenerative characteristics.37 Plant tissues have created uniquely complex patterns and elegant structures over millions of years. They are capable of generating a variety of highly ordered hierarchical structures on different scales, which rival the sophistication of current engineered materials, such as vessels,17 calcified crystals,38,39 pollen,40,41 dandelion fluffs,21 fibers.42 These plant tissue materials with exotic microstructures are extracted, can be used as substrate materials after artificial treatment and subsequently transformed into functional micro/nanorobots by synthetic manufacturing techniques.20 Next, several typical biotemplates will be shown for preparing plant tissue-based micro/nanorobots.

Vascular plants were rich in uniform spiral microstructures, and can be used to prepare micromotors with efficient propulsion. Gao et al. proposed the first example of plant vascular-based bioinspired magnetically propelled helical microswimmers.17 Due to the extremely high density of spiral vessels within the leaves, over a million individual helical swimmers can be generated from a short single segment of the plant stem (Fig. 2A). Geometric variables of the spiral vessels, such as the helix diameter and pitch, can be controlled by mechanical stretching for the precise fabrication and consistent performance of helical microswimmers. Then, sequential deposition of thin Ti and Ni layers directly on the spiral vessels, followed by dicing, leads to extremely simple and low cost plant vascular-based magnetic microswimmers displaying efficient propulsion, with a speed of over 250 μm s−1, as well as powerful locomotion in biological media such as human serum. Such a new method of using the spiral plant vessel as the significant component of the helical micromotor dramatically simplifies the fabrication process by utilizing the intrinsic biological microstructures that nature provides. In addition, the helical microstructures derived from the lotus-root fibers can also be used to prepare microswimmers.43 A simple and reproducible method is illustrated in Fig. 2B, and the helical fibers are mechanically isolated from the lotus roots. The whole process proceeds sequentially through cutting, breaking, and stretching. The stretching span in Fig. 2B can be controlled thus tailoring the length of the helixes. After that, the obtained helixes are subject to the coating of the Fe3O4 magnetic layer, and then they are diced into the desirable lengths to enable magnetic actuation. Moreover, this work also reveals that microswimmers with soft bodies could locomote faster than those with rigid bodies, which shows their prospect for biomedical applications in the future.


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Fig. 2 Plant tissue template-based micro/nanorobots. (A) Bioinspired helical microswimmers based on vascular plants. Reprinted with permission from ref. 17. Copyright 2014 American Chemical Society. (B) Swimming characteristics of bioinspired helical microswimmers based on soft lotus-root fibers from ref. 43. Copyright 2017 Multidisciplinary Digital Publishing Institute. (C) Bioinspired spiky micromotors based on sporopollenin exine capsules from ref. 44. Copyright 2017 Wiley-VCH. (D) Bioinspired zeolitic imidazolate framework (ZIF-8) magnetic micromotors for highly efficient removal of organic pollutants from water from ref. 42. Copyright 2019 Elsevier.

In nature, sunflower pollen particles with unique microstructures can be used to prepare micro/nanorobots with specific functions. Liu et al. fabricated a bioinspired micromotor based on sporopollenin exine capsules (SECs) extracted from sunflower pollen grains which can encapsulate macromolecular compounds for cargo delivery as well as absorb heavy metals for decontamination of water without further functionalization.44 As illustrated in Fig. 2C, to demonstrate the encapsulation ability of SECs, bovine serum albumin (BSA) was used as a model biomacromolecule and loaded within the SECs by a vacuum-assisted loading technique. In order to achieve the goal of cargo delivery within the micromotor design framework, a layer of Pt was deposited on one side of the BSA-loaded SECs. The partial Pt layer on the outer surface imparts catalytic properties toward H2O2 decomposition to the BSA-loaded SECs, enabling their motion in the presence of a H2O2 fuel. The biocompatibility and large internal cavities of SECs make them suitable for encapsulation and delivery of cargo. The porous polymeric structure and functional groups on the surface offer sporopollenin the ability to absorb heavy metals without any additional modification. By harnessing the advantageous features of SECs, such micromotors open new horizons for using plant pollen-derived materials to address biomedical and environmental issues.

Natural kapok fibers have unique hollow structures, inspiring the design and fabrication of bubble-driving tubular micromotors. Liu et al. first demonstrated novel self-propelled Pt-free ZIF-8 magnetic micromotors using a bio-inspired approach as an active adsorbent for highly efficient wastewater treatment.42 The fabrication process of micromotors is illustrated in Fig. 2D. Briefly, the kapok fiber was used as the template first to fabricate mixed metal oxide (γ-Fe2O3/γ-Al2O3) magnetic porous microtubes. Then catalytic material MnO2 particles were synthesized on the microtubes’ outer and inner surfaces. Subsequently, ZIF-8 was loaded on the outer side of the above-mentioned magnetic tubes via in situ growth. After that, the catalytic layer was only exposed on the inner surface of the microtube, and the final tubular ZIF-micromotors were obtained. In the presence of a fuel (H2O2), the micromotors will be driven by the O2 bubbles and finally cause efficient dynamic adsorption toward pollutants in water. In this, the micromotors prepared by the kapok template method retained the natural asymmetric hollow fiber structure of kapok that provides unbalanced force conditions without further complex procedures.

3.2. Cell-based micro/nanorobots

Most micro/nanorobots obtained from plant tissue templates are rigid. Therefore, creating soft and flexible micro/nanorobots is meaningful because the ability to change shape allows movement through tight spaces or winding channels, enabling specific applications.45,46 Nature provides myriad sophisticated biological cells (such as red blood cells and sperm cells) that can display and regulate motion in well-established manners over long ages of evolution.2 They have received substantial interest as model carriers due to their abundance, biocompatibility, biodegradability, non-immunogenicity, inert intracellular environment, and ease of handling.47 More importantly, in soft micro/nanorobots, cell-based micro/nanorobots constructed by the integration of living cells and flexible materials have reproduced similar organ or tissue construction and functions of organisms. This integration is attributed to the progress of manufacturing technologies and advances in tissue engineering. Compared with traditional rigid micro/nanorobots, cell-based micro/nanorobots exhibit superiority in intrinsic softness, environmental safety and compatibility, remarkable energy conversion efficiency, and integrated sensing and control.48 Furthermore, some cells can direct and transport various synthetic organic/inorganic functional payloads through functionalization with intrinsic chemotactic behavior, thereby generating carrier-cell interactions without mechanical damage, which is critical for biomedical applications.49 Based on these, cells are promising in designing and fabricating various types of bionic delivery robots due to their natural advantages.50 Synthetic micro/nanorobots are envisioned to move, sense, and perform specific functions like their biological counterparts.51 Below, we present several examples of micro-robots using cells as substrate materials for synthesizing microrobots.

Red blood cells (RBCs) are of particular interest owing to their vast availability, unique mechanical attributes, surface immunosuppressive properties, and versatile cargo-carrying capability. Wu et al. reported an RBC-derived approach for developing a new generation of cell-based micromotor powered by ultrasound and activated by a magnetic field.52Fig. 3A shows the preparation of magnetically guided, ultrasound-propelled RBC micromotors. Initially, citrate-stabilized magnetic Fe3O4 nanoparticles were synthesized. Then, the fresh RBCs were collected from mice and anticoagulated with ethylenediamine tetraacetate. Finally, a RBC micromotor was prepared using a hypotonic dilution/encapsulation method to load iron oxide nanoparticles (20 nm) into RBCs. The RBC micromotor was propelled by the pressure gradient generated by the ultrasound waves due to the inherent asymmetric geometry of the RBCs as well as the asymmetric distribution of magnetic particles inside the RBCs. Owing to their inherent biomimetic properties, these new RBC micromotors are not susceptible to macrophage uptake, displaying remarkable biocompatibility essential for practical biomedical uses.


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Fig. 3 Cell template-based micro/nanorobots. (A) Turning erythrocytes into functional micromotors. Reprinted with permission from ref. 52. Copyright 2014 American Chemical Society. (B) Bowl-like micromotors using red blood cell membranes a as template. Reprinted with permission from ref. 54. Copyright 2019 Wiley-VCH. (C) Multifunctional metal–organic framework exoskeletons protect biohybrid sperm microrobots for active drug delivery from the surrounding threats. Reprinted with permission from ref. 55. Copyright 2021 American Chemical Society.

The RBC membrane is the hollow ghost that RBCs obtain through hemolysis. It can form a natural compartment to protect internal materials and couple therapeutic molecules for various delivery applications, making it widely used in the surface modification of nanoparticles.53 RBC membranes with good deformability and fluidity are excellent natural templates for micromaterial fabrication. Pan et al. used RBC membranes as templates to prepare asymmetric Pt bowl-like micromotors responsive to H2O2 (Fig. 3B).54 The red blood cells were collected from a healthy donor, and then hemoglobin was removed by hemolytic swelling to obtain a single-sided concave shape ghost. Subsequently, the ghost was used as a template to prepare bowl-like micromotors by electroless plating of platinum particles onto the membranes. Due to the shrinkage of the internal template and the softness of the platinum shell, the products deformed from the spherical structure to a bowl-like structure with treatment. The recessed portion of the platinum bowl structure has a negative curvature to generate oxygen bubbles, which generates a one-way driving force to push the micromotor forward. These asymmetric bowl-like micromotors are expected as cargoes for drug delivery.

Mammalian sperm cells have strong propulsion, chemotactic behavior, and immune evasion capabilities that are highly advantageous in building sperm-based micro-robots. As shown in Fig. 3C, Pan et al. reported sperm-driven biohybrid microrobots.55 Doxorubicin (DOX) was encapsulated in ZIF-8 NPs through the in situ biomineralization method to obtain DOX-ZIF-8 NPs. In order to build DOX-ZIFSpermbot, sperms were mixed with DOX-ZIF-8 NPs and tannic acid (TA) was added to induce the complexation between ZIF-8 and the cell membrane. Combining the effective protection of sperm propulsion with the drug-loading capacity of ZIF-8 NPs provides new applicability to ZIFSpermbots in risky surroundings with AsA, exhibiting rapid migration in a microfluidic device for active drug delivery with enhanced therapeutic efficacy due to their retained effective propulsion. Utilizing spermatozoa as the engine unit of robotic systems at a microscale has revolutionized inspirations and strategies for the biomedical community.

3.3. Microalgae-based micro/nanorobots

Microalgae are photosynthetic unicellular microorganisms and widely exist in nature.56 They grow rapidly, simple in structures, adaptable to different environments, and have excellent biocompatibility and biodegradability.57 Microalgae produce a variety of compounds, such as photosynthetic pigments (carotenoids and chlorophylls), sterols, polyunsaturated fatty acids, vitamins, minerals, fibers, polysaccharides, enzymes, peptides, and toxins which have broad applications in many fields.58,59 They have attracted great interest in recent years due to their potential applications in nutraceutical and pharmaceutical industries, and are a major source of food, energy, health, environment, and biomaterials.60 Microalgae can rapidly proliferate and be obtained in large quantities through artificial cultivation and can be used as biotemplate without treatment.61 Micro/nanorobots with special structures and functionalities can be obtained by depositing or loading via using microalgae as biotemplates.62 The strange shapes of microalgae, such as spherical, triangular, elliptical, star-shaped, and other irregular shapes, provide ideas for preparing microalgae-based micro/nanorobots with specific structures for specific applications.63 Therefore, using microalgae as substrate materials enables the controlled synthesis of functional micro/nanorobots with specific morphology and microstructure.64 At the same time, using biomaterials rich in elements and chemical components related to life activities to achieve a full range of biotemplates is a major advantage unmatched by other artificially engineered templates.65,66 Here, several typical examples of preparing microalgae-based micro/nanorobots using microbial algae as templates will be introduced.

Chlorella pyrenoidosa (C. pyrenoidosa) has uniform spheroidal structures with diameters around 3–5 μm, even smaller than those of human red blood cells. These fascinating features give them the superiority to act as ideal natural biomaterials for biomedical applications. Liu et al. fabricated a bioinspired micromotor to precisely activate muscle.67 As displayed in Fig. 4A, C. pyrenoidosa was used as a biotemplate to prepare magnetic microswimmers via a facile dip-coating approach. In this fabrication process, C. pyrenoidosa and the Fe3O4 nanoparticles were oppositely charged so that discrete Fe3O4 nanoparticles could be effectively absorbed on the surface of C. pyrenoidosa and grow. Under the wireless actuation of a weak rotational magnetic field, the engineered biohybrid microswimmers could navigate and follow complex trajectories in vitro. Meanwhile, the single microswimmer could approach targeted derived myotube accurately by remote manipulation and then efficiently induce myotube contraction under NIR stimulation, with a local temperature increase of approximately 5 °C. The as-developed magnetically actuated microswimmer-based strategy can provide a renovation for tissue engineering and bionics.


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Fig. 4 Microalgal template-based micro/nanorobots. (A) Magnetically actuated biotemplate-based microswimmers for precise photothermal muscle contraction. Reprinted with permission from ref. 67. Copyright 2022 American Chemical Society. (B) Bio-inspired self-propelled diatom micromotors obtained by catalytic decomposition of H2O2 at low fuel concentration. Reprinted with permission from ref. 68. Copyright 2018 Royal Society of Chemistry. (C) Microalga-powered biohybrid microswimmers for active cargo delivery. Reprinted with permission from ref. 69. Copyright 2018 Wiley-VCH. (D) Facile fabrication of magnetic microrobots based on spirulina templates for targeted delivery and synergistic chemo-photothermal Therapy. Reprinted with permission from ref. 70. Copyright 2019 American Chemical Society.

Diatoms have a well-defined cell wall known as a frustule, made up of SiO2, Al2O3, and Fe2O3, which can act as a catalyst and provide thrust in solution. As shown in Fig. 4B, Panda et al. report a novel bio-inspired approach for preparing self-propelled micromotors by catalytic decomposition of H2O2 as a fuel.68 The diatoms are composed of a silicate backbone with biological moieties containing organic molecules and trace amounts of metal ions, such as those of iron. Interestingly, a trace amount of iron oxide (Fe2O3) in the diatom was converted into Fe3O4, which can act as a catalyst to achieve the facile decomposition of H2O2 and unidirectional motion. The unique 3D hierarchical structure of the diatom can provide the bubbling force anisotropically in solutions, resulting in unidirectional motion for diatom-based micromotors. These frustules are mechanically robust, chemically balanced, and eco-friendly; thus, they can easily be used in biological and environmental applications.

Chlamydomonas reinhardtii (C. reinhardtii) presents intriguing biological swimmers with high propulsion, autofluorescence, and phototactic guidance capabilities. Inspired by this, Yasa et al. developed a biocompatible biohybrid microswimmer powered by C. reinhardtii as shown in Fig. 4C.69 This biohybrid algal microswimmer comprises an intact microalga, C. reinhardtii, attached to the polyelectrolyte (PE) functionalized 1 μm diameter magnetic polystyrene (PS) particles. Cargos were noninvasively attached to the microalgae without compromising the natural motility, using noncovalent electrostatic interactions between the positively functionalized magnetic PS microparticles and the negatively charged microorganisms. As a result, the biological segment of the biohybrid microswimmers serves as an actuator and sensor, while their artificial segment provides support and other functionalities. Similarly, using natural swimmers as cargo delivery agents presents an alternative strategy to transport therapeutics inside the body to locations otherwise difficult to access by traditional delivery strategies.

Helical magnetic microrobots have attracted particular attention because they can transform the rotation around their helical axis into a translational motion along the helical axis to provide an efficient and precise 3D locomotion behavior. As shown in Fig. 4D, Wang et al. proposed a facile method for the mass production of magnetic microrobots with multiple functions using Sp. as a biotemplate.70 Initially, the Pd@Au core–shell NPs were embedded both in the Sp. cells and on the cell walls. Subsequently, Fe3O4 NPs are deposited on the as-prepared (Pd@Au)@Sp., enabling the obtained (Pd@Au)/Fe3O4@Sp. microrobots to be actuated in an external magnetic field. Finally, chemotherapeutic doxorubicin (DOX) is loaded to obtain (Pd@Au)/Fe3O4@Sp.-DOX microrobots. They can elide the process of fabricating spiral configuration by taking advantage of their intrinsic helical morphology compared to other manufacturing methods of microrobots. Furthermore, the helical structure endows the as-prepared microrobots with efficient propulsion performance with the highest speed of 526.2 μm s−1 under a rotating magnetic field. Such facile fabrication of magnetic microrobots based on Sp. as a template is very promising.

3.4. Bacterial template-based micro/nanorobots

Microorganisms such as bacteria have good micro-organic structures and small sizes, and can be used as templates to synthesize nanostructured materials71 because bacteria have evolved many dominant structural biological forms in continuous evolution and can precisely control these morphological structures at the nanometer level through their regulatory mechanism. Current scientific and technological means make it difficult to prepare ordered 3D nanospheres, but bacteria such as cocci and helicobacter can easily form such structures. Therefore, using bacteria as templates has the advantages of wide access and potential gene regulation functions, and has a good application prospect.72 Additionally, bacteria have a high swimming speed and efficiency in the low Reynolds (Re) number flow regime, can sense and respond to external environmental signals, and can be externally detected via fluorescence or ultrasound imaging techniques.25,73 In particular, bacteria offer several advantages as controllable microactuators: they draw chemical energy directly from their environment, they can be genetically engineered and employed as sensing elements and they are scalable and configurable in that the bacteria can be selectively patterned.74 Due to their inherent advantages, various bacteria (Escherichia coli,25Magnetotactic bacteria,75Salmonella typhimurium,76etc.) have been used as carriers to prepare as potential microrobots. Next, a few examples are introduced.

Bacteria can be integrated with synthetic substances to produce multiple functionalities through their biological actuation and sensing capabilities. Buss et al. present a biohybrid microswimmer composed of a genetically engineered peritrichously flagellated Escherichia coli species integrated with red blood cell (RBC) derived nanoliposomes.25 As displayed in Fig. 5A, firstly, the genetically engineered bacterial species were induced with isopropyl-b-D-thiogalactopyranoside (IPTG) to obtain bacterial species with biotin molecules on their cell membranes. Then, RBCs were isolated from whole murine blood, and nanoerythrosomes were fabricated from emptied RBCs using the cell extrusion technique. The nanoerythrosomes were modified with biotin molecules via biotin-conjugated anti-TER119 antibodies to realize the non-invasive conjugation of the bacterial actuators with the cargo carriers. Finally, microswimmers were constructed by conjugating streptavidin-modified bacteria with biotin-modified nanoerythrosomes using non-covalent streptavidin interactions. These microswimmers showed enhanced swimming speeds compared to the previously reported biotemplate-based microswimmer designs powered by various Escherichia coli strains. Besides, more applications could be achieved by rational design of bacteria's surface. Chen et al. designed a biohybrid microrobot able to move by applying a magnetic field and in thermal and hypoxic environments, integrating the properties of both magnetic nanoparticles (MNPs) and Escherichia coli Nissle1917.77 In order to achieve imaging-guided magnetothermal treatment, genetically engineered probiotics were prepared using pBV220 expression vectors encoded with the NDH-2 or mCherry/NDH-2 gene sequences, and the thermally sensitive promoter TcI was integrated. Then, bacterial hybrid microrobots were prepared by conjugating the Zn-doped Fe3O4 MNP (Zn0.4Fe2.6O4) on the genetically engineered probiotics (Fig. 5B). Compared with artificial micro/nanorobots, the bacteria endow microrobots with efficient self-propulsion, and integration of the physical, biological and chemical properties, enabling microrobots with triple sensing capabilities of magnetism, heat, and hypoxia to overcome harsh biological environments and achieve satisfactory therapeutic effects.


image file: d4mh00114a-f5.tif
Fig. 5 Bacterial template-based micro/nanorobots. (A) Nanoerythrosome-functionalized biohybrid microswimmers. Reprinted with permission from ref. 25. Copyright 2019 AIP Publishing. (B) An engineered bacteria-hybrid microrobot with a magnetothermal bioswitch for remotely collective perception and imaging guided cancer treatment. Reprinted with permission from ref. 77. Copyright 2022 American Chemical Society. (C) Sequential magneto-actuated and optics-triggered biomicrorobots for targeted cancer therapy from ref. 78. Copyright 2021 Wiley-VCH. (D) Magnetic torque–driven living microrobots for increased tumor infiltration. Reprinted with permission from ref. 75. Copyright 2022 AAAS.

Magnetococcus marinus strain, magnetospirillum magneticum (AMB-1), can be used to prepare intelligent biotemplate-based microbiorobotics due to its magnetosomes inside the body being susceptible to external magnetic fields. Xing et al. developed an AI microrobot system using AMB-1 as the template composed of motile AMB-1 and light-triggered indocyanine green nanoparticles (INPs).78 The INPs were synthesized with maleimide groups in the phospholipid shell and ICG in the poly(lactic-co-glycolic acid) (PLGA) core by a single-step sonication method. In parallel, surface protein disulfides of AMB-1 were reduced to activated sulfhydryl by tris(2-carboxyethyl) phosphine (TCEP). Finally, the INPs were chemically conjugated onto the activated sulfhydryl outside the AMB-1 membrane by a Michael addition reaction to form a smart AI microrobot (Fig. 5C). Such AI microrobots with autonomous flagellum propulsion can realize controlled navigation, focal localization, deep penetration, and tumor colonization in vivo. Therefore, bacteria-based microrobots were increasingly recognized as promising externally controllable vehicles for targeted cancer therapy. As shown in Fig. 5D, Gwisai et al. reported magnetic torque-driven living microrobots for increasing tumor infiltration using magnetospirillum magneticum as a magnetically responsive model organism.75 Bioconjugation was achieved through carbodiimide coupling using an adapted protocol. Briefly, activation of carboxylated liposomes was accomplished by incubating 300 μL of liposome solution with EDC and sulfo-NHS for 20 min in PBS at room temperature with gentle agitation. The activated liposomes were subsequently incubated with magnetotactic bacteria (MTB) cells for 2 h at room temperature with gentle agitation. Unbound liposomes were separated from MTB-liposome conjugates (MTB-LP) using a 2D magnetic field. By merging the benefits of bacteria-mediated therapy with a scalable magnetic torque-driven control strategy, their approach enables effective, targeted delivery of living microrobots for improved treatment. A fourfold increase in translocation of magnetically responsive bacteria across a model of the vascular endothelium observed is attributed to torque-driven surface exploration at the cell interface.

4. Applications

Preparing intellect micro/nanorobots using biotemplates has excellent application prospects. On the one hand, creatures in nature have evolved various structures to adapt to external stimuli, and the size and morphology of these structures are very regular. Using these structures as biotemplates introduces the “smart” function of biological hybrid materials and avoids the waste of chemical materials.79 On the other hand, the surface of biotemplates contains wealthy modifiable functional groups, which can be used to prepare functional materials that meet the needs of chemical reactions to connect special functional groups or change their hydrophobicity.31,80 More importantly, different structures of natural biotemplates give various intelligent applications to micro/nanorobots.81 For example, large internal cavity pollen grains are ideal for drug or nanoparticle encapsulation,82 calcified porous microneedles were used for cell-microdrilling,39 hollow kapok fiber provides unbalanced force conditions in the motion,83 and helical structures can convert rotational motion to translational motion.84 Therefore, through appropriate design and assembly, environmentally friendly, cheap, readily available biotemplates and specific functional chemical components can be used in complex and diverse intelligent applications, such as removal of organic pollutants, biosensors, and cancer treatment.85,86 This part mainly introduces the application of intelligent micro/nanorobots in the environment and biology. Owing to the large variety of biotemplates and the multitude of nanomedicines that have been developed using different materials, structures, coatings, and functional ions, biotemplate-based micro/nanorobots can be combined in a plethora of configurations allowing their tailoring to achieve specific applications defined by the nature of the targeted objects and their microenvironment.46 Thus, a summary of representative examples of various nature-/structure-inspired micro/nanorobots is presented in Table 1.
Table 1 A summary of biotemplate-based intelligent micro/nanorobots
Natural structure Main components Speed (μm s−1) Propulsion mechanism Applications Ref.
Plant tissue Leave vessels Vessels/Ti/Ni 250 Magnetic field 17
Banana leaf vessels Vessels/Ni/Fe3+-TA 51 Magnetic field Degradation of RhB and capture of cells 87
Lotus-root fibers Fibers/Fe3O4 Magnetic field 43
Tomato callus Callus/Fe3O4 6.23 Magnetic field Removal of chlorpyrifos 88
Tomato callus Callus/Fe3O4/Vitamin C Magnetic field Cell clones 89
Kapok fibers Fibers/γ-Fe2O3/γ-Al2O3/MnO2/ZIF ∼150 Chemical reaction Adsorption of organic pollutants 42
Kapok fibers Fibers/Eu-MOF/EDTA-NiAl-CLDH–M 56.9 Chemical reaction Sensing and removal of Fe3+ 83
Lotus pollens Pollen/MnO2/CoFe2O4 ∼116 Chemical reaction Recognition and capture of Pb2+ 90
Chrysanthemum pollen Pollen/Fe3O4/DOX 400 Magnetic field Tumor assassination and tissue regeneration 82
Lotus pollen Pollens/PNIPAM/Mn3O4/CoFe2O4 161 Chemical reaction Adsorption of erythromycin 91
Pine pollen Pollen/Fe3O4/DOX 175.19 Magnetic field Drug delivery 92
Sunflower pollen Pollen/Fe3O4/Galinstan–Fe alloy ∼90 Magnetic field Eradicate biofilm 93
Sunflower pollen Pollen/polydopamine 1000 Light Capture and transport of yeast cells 94
Sunflower pollen Pollen/polydopamine/vancomycin Light Capturing and killing targeted bacteria 95
Sunflower pollen Pollen/Au/Co/DOX ∼25 Magnetic field Attract, manipulate and kill cancer cells 96
Sunflower pollen Pollen/Ni 110 Magnetic field Removal of oil and microplastics 97
Sunflower pollen Pollen/Ni/Ti/DOX 125 Magnetic field Intracellular delivery 98
Sporopollenin exine capsules Sporopollenin/BSA/Pt 90.83 Chemical reaction Drug delivery and removal of Pb2+ 44
Calcified biotubes Biotube/Fe–Ti/camptothecin Magnetic field Single-cell surgery, drug release 39
Cell Red blood cell(RBC) RBC/Fe3O4 16 Ultrasound Anti-biological pollution 52
Erythrocytes Erythrocytes/magnetic beads ∼4 Magnetic field 99
Bovine sperm cell Sperm cell/Fe2O3/DOX 12.5 Magnetic field Drug loading 100
Bovine sperm cell Sperm cell/Fe/DOX Magnetic field Drug loading and ultrasound imaging 101
Bovine sperm cell Sperm cell/iron oxide/polystyrene 121.1 Self-propulsion Assisted reproduction 102
Human sperm cell Sperm cell/Fe-Ti/DOX/camptothecin Magnetic field 3D ovarian cancer cell treatment 103
Human sperm cell Sperm cell/ZIF-8/DOX/TA 73 Self-propulsion Active drug delivery 55
Ciona sperm cell Sperm cell/Fe2O3/DOX 217 Self-propulsion Drug loading capacity and responsive release 104
Sperm cell/CdSe/ZnS
Sperm cell/Pt/FITC
Clarias gariepinus sperm cell Aqua sperm cells 114 Self-propulsion Removal of bacterial biofilms 105
Red blood cell membrane RBC membrane/Pt 686 Chemical reaction 54
Microalgae Chlorella Chlorella/Fe3O4 ∼17 Magnetic field Precise photothermal muscle contraction 67
Chlorella Chlorella/Fe3O4/BiOCl 80.45 Magnetic field Degradation of RhB and bacterial inactivation 106
Chlorella Chlorella/Fe3O4/BiOX 40 Magnetic field Degradation of dyes and pollutants 107
Chlorella Chlorella/Fe3O4/ZIF-8 40.2 Magnetic field Antibacterial treatment 108
Chlorella Chlorella/Fe3O4/DOX 107.6 Magnetic field Targeted drug delivery 109
Chlorella Chlorella/Fe3O4 35 Magnetic field Removal of micro/nanoplastics 110
Spirulina Spirulina/Fe3O4/MnO2 250 Magnetic field Removal of Pb(II) 111
Spirulina Spirulina/Fe3O4/FITC-BSA Magnetic field Molecular cargo delivery 64
Spirulina Spirulina/Fe3O4/CuS 583.3 Magnetic field Anticancer therapy and bacterial killing 112
Spirulina Spirulina/Fe3O4/PDA 123.84 Magnetic field Pathogenic bacterial infection treatment 113
Spirulina Spirulina/Fe3O4 15.2 Magnetic field Bacterial killing 114
Spirulina Spirulina/Fe2O3/MIL-125NH2 ∼28 Magnetic field Drug delivery and degradation of RhB 115
Spirulina/Fe2O3/UiO-66
Spirulina/Fe2O3/ZIF-8
Spirulina/Fe2O3/MIL-100(Fe)
Spirulina Spirulina/Fe3O4/MoS2/AuNPs Magnetic field Cancer ablation 116
Spirulina Spirulina/Fe3O4/BaTiO3 68.5 Magnetic field Inducing neural stem cell differentiation 117
Spirulina Spirulina/Fe3O4/Pd/Au/DOX 526.2 Magnetic field Targeted delivery and chemo-photothermal therapy 70
Spirulina Spirulina/Fe3O4 78.3 Magnetic field Cancer therapy 118
Spirulina Spirulina/Fe3O4 ∼90 Magnetic field Imaging-guided cancer therapy 119
Chlamydomonas pitschmanni C. pitschmanni 105 Self-propulsion Biomedical operations 120
Chlamydomonas reinhardtii C. reinhardtii/PLGA/DiI/DiO 104.6 Self-propulsion Treatment of bacterial pneumonia 121
Chlamydomonas reinhardtii C. reinhardtii/vancomycin/ciprofloxacin 61.5 Self-propulsion Against bacterial infections 122
Chlamydomonas reinhardtii C. reinhardtii/Fe2O3/chitosan/DOX 56.3 Self-propulsion Cargo delivery 123
Chlamydomonas reinhardtii C. reinhardtii 52 Light Cargo delivery and therapy 124
Chlamydomonas reinhardtii C. reinhardtii 100 Self-propulsion Picking up and transport cargo 125
Chlamydomonas reinhardtii C. reinhardtii 95 Light Manipulation and disruption of biological targets 65
Chlamydomonas reinhardtii C. reinhardtii/PS/polyelectrolyte 162.05 Self-propulsion Cargo delivery 69
Chlamydomonas reinhardtii C. reinhardtii/chitosan/heparin 33.3 Self-propulsion Diabetic wound healing 126
Chlamydomonas reinhardtii C. reinhardtii/vancomycin derivative 7 Self-propulsion Antibiotic drug delivery 127
Chlamydomonas reinhardtii C. reinhardtii/NHS-DBCO/ACE2 108 Self-propulsion Removal of SARS-CoV-2 128
Euglena gracilis Euglena gracilis 60 Light Drug delivery, removal of apoptotic cells, and photodynamic therapy 129
Thalassiosira weissflogii frustules (TWFs) TWFs/Fe3O4/DOX 28 Magnetic field Target therapy 130
Phaeodactylum tricorntum bohlin Phaeodactylum tricorntum bohlin 209 Light Trapping and removal of biothreats 66
Diatoms Diatom 50 Chemical reaction 68
Volvox Volvox/Fe3O4/PDA/Ce6/chitosan ∼90 Magnetic field Imaging and therapy 131
Bacteria Escherichia coli E. coli/ZIF-8/DOX/TA 30 Self-propulsion Cytoprotection and drug delivery 132
Escherichia coli E. coli/dye/streptavidin 6.5 Self-propulsion Cargo delivery 133
Escherichia coli E. coli/antibody 11.7 Self-propulsion Targeted drug delivery 134
Escherichia coli E. coli//Fe3O4/nanoliposomes/DOX/ICG 18.5 Magnetic field Stimuli-responsive cargo delivery 135
Escherichia coli E. coli/nanoerythrosomes 14.06 Self-propulsion 25
Escherichia coli E. coli/PEM//Fe3O4/DOX 22.5 Magnetic field Targeted drug delivery 136
Escherichia coli E. coli/plasmid/MNP 24.62 Magnetic field Cancer treatment 77
Bacillus subtilis (B. subtilis) B. subtilis/cell membrance 4.7 Self-propulsion Sensing 137
Magnetotactic bacteria (MTB) MTB/liposome 49 Magnetic field Increase tumor infiltration 75
Magnetotactic bacteria MTB/ICG 13.3 Magnetic field Cancer therapy 78
Flagellated bacteria Bacteria 47 Self-propulsion 138
Spore Ganoderma lucidum spore Spore/Fe3O4/QDs ∼23 Magnetic field Remote detection of toxins 139
Ganoderma lucidum spore Spore/Fe3O4/CDs 3 Magnetic field Targeted delivery 140
Ganoderma lucidum spore Spore/Fe3O4 266.3 Magnetic field Adsorption and removal of heavy metal ions 141


4.1. Biomedical applications

4.1.1. Drug delivery. Although remarkable achievements in active cargo delivery have been made over the past decade, delivery systems based on micro/nanorobots are still limited by complex physiological conditions in vivo.142 When exposed to body fluids, the existing microrobot systems may compromise their structures and functions, let alone the encapsulated therapeutic drugs.143 Besides, large-scale inexpensive production of micro/nanorobots with high biocompatibility and excellent physicochemical robustness is always challenging. A micro/nanomotor made from a biotemplate is expected to overcome this difficulty because of its good biocompatibility and surface-modifiable functional groups.27 Moreover, performing the on-demand release of the maximum amount of the loaded drug at a specific position is particularly imperative.64 Here, the self-propelled bio-based micro/nanorobots provide the carriers with continuous driving power to help them transport across biological tissues. In addition, the direction of the micro/nanorobots can also be adjusted to prompt cell targeting and internalization to enhance the controllability and adjustability of the drug delivery system. Compared to passive drug carriers, the self-propulsion abilities of these biotemplate-based micro/nanorobots have unique advantages in drug delivery, which bring distinct improvements for efficient drug delivery.

A significant advantage of using a biotemplate is that contrary to elaborate clean-room fabrication techniques, a large amount of material can be obtained relatively quickly with minimal process control. As displayed in Fig. 6A, Sarvesh et al. extracted calcified porous microneedles (40–60 μm long) from the Dracaena sp. plants that possess drug carrier capability (much like calcium-based drug carriers) and coated these structures with a magnetic layer to facilitate cellular drilling due to its microneedles structure by external magnetic actuation.39 Subsequently, loading these calcified biotubes with the anticancer drug camptothecin allows for the site-specific activation of the drug in the acidic environment of HeLa cancer cells. These elongated porous microneedles were used to prepare magnetic biogenic microdaggers that can be used as daggers with microdrilling capability for piercing cells, but also with additional advantages of drug release function, due to which they can be used as a “cell microsurgery and drug rehabilitation” package.


image file: d4mh00114a-f6.tif
Fig. 6 Biotemplate-based micro/nanorobots for drug delivery. (A) Dual-action biogenic microdaggers for single-cell surgery and drug release. Reprinted with permission from ref. 39. Copyright 2016 Wiley-VCH. (B) Magnetic biohybrid micromotors with high maneuverability for efficient drug loading and targeted drug delivery. Reprinted with permission from ref. 92. Copyright 2019 Royal Society of Chemistry. (C) Magnetically steerable bacterial microrobots moving in 3D biological matrices for stimuli-responsive cargo delivery. Reprinted with permission from ref. 135. Copyright 2022 AAAS. (D) A diatom-based biohybrid microrobot with a high drug-loading capacity and pH-sensitive drug release for target therapy. Reprinted with permission from ref. 130. Copyright 2022 Elsevier.

Pollen, a renewable biomaterial that exists in nature widely, has a unique architecture, excellent biocompatibility, structural uniformity, good permeability, and a large hollow cavity. These fascinating properties enable pollen to become promising bio-templates for biomedical applications. Sun et al. developed pine pollen-based micromotors for targeted drug release, which provide excellent maneuverability in multiple media, efficient drug encapsulation, and on-demand release (Fig. 6B).92 These versatile biohybrid micromotors were synthesized for simultaneously encapsulating magnetic particles and drugs into the two hollow air sacs of pine pollen via vacuum loading. The micromotors show controllable and continuous locomotion trajectories in complex biological fluids, even on biological tissues (mouse small intestine). Besides displaying controlled propulsion, these micromotors also exhibit a specific mechanism to release therapeutic drugs on demand. Considering the magnetic nanoparticle aggregation phenomenon under a powerful magnetic field, controlled release of a therapeutic cargo is achieved using the fluid field generated by the rotating magnetic agglomeration under a high magnetic field frequency input, which holds great promise for in vivo medical applications.

Bacteria-based microrobots, composed of self-propelling bacteria carrying micro/nanoscale materials, can deliver their payload to specific regions under magnetic control, enabling additional effective delivery of minimally invasive medicine. As shown in Fig. 6C, Mukrime et al. reported a magnetically controlled bacterial microrobots for targeted localization and multistimuli-responsive drug release in three-dimensional (3D) biological matrices.135 Magnetic nanoparticles and nanoliposomes loaded with photothermal agents and chemotherapeutic molecules were integrated into E. coli with ∼90% efficiency. Bacteria-based microrobots, outperforming previously reported E. coli–based microrobots, retained their original motility and navigated through biological matrices and colonized tumor spheroids under magnetic fields for on-demand release of the drug molecules by a near-infrared stimulus.

Diatoms, as the naturally porous silica structure, are promising substitutes for artificial mesoporous silica preparation. In Fig. 6D, Li et al. proposed a biohybrid magnetic microrobot based on Thalassiosira weissflogii frustules (TWFs) as a cargo packet for targeted drug delivery using a simple preparation method.130 They could be precisely controlled to follow specific trajectories or to move as swarms. The cooperation of the two motion modes of biohybrid microrobots increased microrobots’ environmental adaptability. Such microrobots utilize the porous structure of diatoms to load drugs and provide artificially modified magnetic layers to endow them with active and controllable properties, demonstrating great potential in targeted anticancer therapy.

4.1.2. Imaging. Efficient imaging agents can provide precise localization, effective early diagnosis and treatment monitoring for precise treatment, and provide considerable guidance for intelligent therapy, especially cancer treatment.144 Currently, several biomedical imaging techniques, such as fluorescence imaging (FLI),145 photothermal imaging (PTI),146 photoacoustic imaging (PAI),147 magnetic resonance imaging (MRI),148 computer tomography (CT),149 and positron emission tomography (PET),150 have been developed, that have improved the spatial resolution of cancer imaging. With the development of nanotechnology, biotemplates with unique properties have recently become an exciting prospect for accurate cancer imaging. Visual positioning of micro/nanorobots based on a biotemplate is crucial for achieving motion, path planning, and autonomous navigation based on visual feedback.151 To this end, various biotemplate-based micro/nanorobots with imaging functional have been applied to visualization. The following sections will discuss the progress of integrating imaging strategies with the motion-tacking of biotemplate-based micro/nanorobots.

The selection of unique motile microorganisms that combine the advantages of locomotion with imaging materials, such as imaging agents and photothermal agents, could assist in addressing the challenges of cancer regions. As shown in Fig. 7A, Wang et al. developed an all-in-one self-propelled volvox-based multifunctional robot, Volbot, with built-in fluid mixing capabilities, multimode imaging, and photosynthesis-mediated in situ oxygen generation that can potentially relieve hypoxia.131 Volbots can follow a pre-specified route and directionality under the control of a magnetic field. Red-light irradiation (λ = 650 nm) can enhance the Volbot's locomotive behavior, enhance the mixing of biofluids, and modulate the oxygen production to improve the efficacy of photodynamic therapy. Moreover, Volbots can absorb near-infrared radiation to produce localized hyperthermia and offer imaging capabilities for treating tumors. The use of volvox as the engine of the robot provides unique advantages over other strategies that employ microorganisms, as volvox in situ generates oxygen; self-fluoresces for use in multimodal imaging; has autonomous phototaxis navigation capability; enables built-in fluid pumping/mixing generated by the synchronized beating of its flagella; and facilitates localized photodynamic, as well as photothermal therapy.


image file: d4mh00114a-f7.tif
Fig. 7 Biotemplate-based micro/nanorobots for imaging. (A) Volvox microalgae-based robots for multimode precision imaging and therapy. Reprinted with permission from ref. 131. Copyright 2022 Wiley-VCH. (B) Multifunctional biohybrid magnetite microrobots for imaging-guided therapy. Reprinted with permission from ref. 119. Copyright 2017 AAAS. (C) Drug-loaded IRONSperm clusters: modeling, wireless actuation, and ultrasound imaging. Reprinted with permission from ref. 101. Copyright 2022 IOP Publishing. (D) Endoscopy-assisted magnetic navigation of biohybrid soft microrobots with rapid endoluminal delivery and imaging. Reprinted with permission from ref. 153. Copyright 2021 AAAS.

The innate properties of microalgae allowed in vivo fluorescence imaging and remote diagnostic sensing without any surface modification. As shown in Fig. 7B, Yan et al. reported a type of biotemplate-based magnetite microrobot that is imageable, biodegradable, and selectively cytotoxic to cancer cells.119 This fabricated biotemplate-based magnetite microrobot can perform robust navigation in various biofluids and be noninvasively tracked by auto-FL/MR imaging in either superficial tissues or deep organs. Furthermore, it exhibits desirable biodegradability, remote diagnostic sensing ability, and anticancer potential. With its in vivo monitoring via bimodal imaging features, tunable degradation via dip-coating control, and inclusiveness of functionality extension/drug loading via surface modification, this biotemplate-based microagent represents a microbiorobotic vehicle with a high potential for imaging-guided therapy.

Ultrasound imaging is a potential option for noninvasive localization and has been established as a standard clinical diagnostic tool. It is radiation-free and provides real-time imaging, allowing microrobot tracking.152 As shown in Fig. 7C, Middelhoek et al. fabricated drug-loaded biotemplate-based clusters and understood their characteristics to enable wireless rolling locomotion and ultrasound imaging simultaneously.101 Nanoparticle-coated sperm cells can be electrostatically and magnetically entangled in dense clusters of up to 120 cells to obtain biotemplate-based clusters of microrobots. This aggregation of microrobots enables them to roll collectively in a predictable way in response to an external rotating magnetic field. It enhances ultrasound detectability and drug loading capacity compared to individual microrobots. The favorable features of biotemplate-based microrobot clusters emphasize the importance of investigating and developing collective microrobots and their potential for in vivo imaging.

Imaging functions can also be achieved through the self-assembly of cells. As displayed in Fig. 7D, Wang et al. developed soft and resilient magnetic stem cell spheroid microrobots (MSCSMs) using the three-dimensional (3D) self-assembly of stem cells doped with a low dose of magnetic particles.153 An integrated robotic platform was developed to deliver the microrobots into the deep and narrow spaces inside the body, termed endoscopy-assisted magnetic actuation with a dual imaging system (EMADIS). In EMADIS, the endoscope offers an “express lane” for the MSCSMs to avoid direct contact with the complex fluidic environments and facilitates rapid passage through multiple biological barriers in organs and tissues. The magnetic field actuation guides the high-precision delivery of the MSCSMs to the targeted position after endoscopic deployment. Moreover, the endoscopic view and ultrasound imaging track the entire process. In this way, EMADIS enables the rapid and high-precision delivery of soft microrobots in real time for the targeted therapeutic intervention of hard-to-reach regions, which are inaccessible and even invisible by means of conventional endoscopes and medical robots.

4.1.3. Biosensing. Biosensors are ubiquitous in various disciplines, such as biochemical, electrochemical, agricultural, and biomedical fields. They can recognize a biological event on a transducing device using a signal proportional to the analyte concentration to quantify a biological or biochemical response.154 Different from passive materials, active biotemplate-based micro/nanorobots have shown promising prospects in biosensing due to their unique active motion properties and easy functionalization. Especially, the movement of biotemplate-based micro/nanorobots with various receptors can realize “on the fly” capturing analytical targets.155 Next, some biotemplate-based micro/nanorobots for advanced biosensor research are introduced.

Spores are produced by a wide range of plant or fungi species, and their unique and intricate 3D architecture can protect sensitive genetic materials from extreme environmental conditions. Zhang et al. developed highly efficient fluorescent magnetic pore-based microrobots for detecting toxins secreted by Clostridium difficile (C. diff) bacteria (Fig. 8A).139 These microrobots were rapidly synthesized inexpensively by stepwise encapsulation and functionalizing the porous natural spores. Incorporating superior magnetic Fe3O4 nanoparticles facilitates the magnetic actuation of the droplet-like microstructure and even similar counterparts feasible in different media, showing continuous and efficient propulsion trajectories. Such a continuous and efficient movement greatly increases the diffusion and mass transport of the detected substance, thus facilitating higher detecting ability than static counterparts. Motion-based detection through tracking the emerging micro/nanorobots has shown great potential in chemo- and biosensing due to accelerated “chemistry on the move.”


image file: d4mh00114a-f8.tif
Fig. 8 Biotemplate-based micro/nanorobots for biosensing. (A) Real-time tracking of fluorescent magnetic spore-based microrobots for remote detection of C. diff toxins. Reprinted with permission from ref. 139. Copyright 2020 Springer Nature. (B) Red-blood-cell waveguide as a living biosensor and micromotor. Reprinted with permission from ref. 157. Copyright 2019 Wiley-VCH.

Red blood cells (RBCs) can be trapped and manipulated by optical forces, which benefits their function as living biosensors and micromotors.156 As shown in Fig. 8B, Li et al. constructed a living biosensor and micromotor from in vivo RBCs for pH sensing and particle transport applications.157 The light propagation mode of the RBC waveguide was sensitive to the surroundings. After sensing pH, the formed RBC waveguide could continuously rotate as a micromotor because of the optical torque generated by the asymmetrical distributions of the coherent output light from the fiber probes, enabling controllable microparticle delivery in the blood. In order to extend its potential application, the RBC waveguide was also successfully assembled and operated in zebrafish blood vessels. These phenomena inspired us to directly incorporate in vivo cells into a single device with sensing and actuation capabilities.

4.1.4. Anti-biological infection. Clinically, due to the complex interaction between pathogens and hosts, the combination of viruses and bacteria causes a very high mortality rate, posing a severe threat to human health worldwide.158,159 There are many treatments, but their effects are often not specific because anti-inflammatory drugs are not delivered to specific sites. Thus, developing active dosing of anti-inflammatory drug delivery systems to achieve the effects of local release of anti-inflammatory drugs and auxiliary sterilization has become an important research direction for anti-infection in recent years. Based on the active propulsion characteristics of micro/nanorobots and the excellent biocompatibility of biomaterials, some bio-based micro/nanorobots have been developed for anti-biological inflammation and will be described in the following chapters.

The natural sea urchin-like sunflower pollen (with sharp edges) is converted into capsule micro robots for loading drugs to remove biofilms. Sun et al. designed a magnetic urchin-like capsule robot loaded with magnetic liquid metal droplets (MUCR@MLMD) by using natural sunflower pollen as a biotemplate carrier for eradicating complex mixtures of a bacterial biofilm within biliary stents collected from patients (Fig. 9A).93 Driven by an external magnetic field, the MUCR@MLMD swarms actively target biofilm structures, first physically disrupting the extracellular polymeric substance barrier using the inherited microspikes of MUCRs. The carried MLMDs are then released to penetrate the biofilm and use their sharp edges to kill a variety of embedded bacterial cells, ultimately achieving synergistic biofilm eradication without the development of drug resistance. The robots benefit from the natural spikes of sunflower pollen that can be used to treat biofilms, physically destroying the protective effect and mechanical stability of EPS. Besides, Carmen et al. present a new concept using aqua sperm micromotors to destroy bacterial biofilms.105 They use aqua sperm from North African catfish-as microrobots with head sized ≈1.5 μm compared with, for example, bovine sperm of head sizes ≈10 μm. Their small size allows them to penetrate and disturb the biofilm matrix. Moreover, research has proved that their ultra-fast speed is efficient at destroying biofilms in a short time (displayed in Fig. 9B).


image file: d4mh00114a-f9.tif
Fig. 9 Biotemplate-based micro/nanorobots for anti-biological infection. (A) Magnetic microswarm and fluoroscopy-guided platform for biofilm eradication in biliary stents. Reprinted with permission from ref. 93. Copyright 2022 Wiley-VCH. (B) Swarming aqua sperm micromotors for active bacterial biofilms removal in confined spaces. Reprinted with permission from ref. 105. Copyright 2021 Wiley-VCH. (C) Photoacoustic imaging-trackable magnetic microswimmers for pathogenic bacterial infection treatment. Reprinted with permission from ref. 113. Copyright 2020 American Chemical Society.

Furthermore, pathogenic bacteria in deep tissue penetration can also be used as a multifunctional magnetic bio-microswimmer. By mimicking a corkscrew motion of the Escherichia coli, such micro/nanoswimmers can perform remotely controlled navigation in a wide range of complex environments filled with biofluidic media. As shown in Fig. 9C, Xie et al. developed a multifunctional magnetic microswimmer based on Spirulina to treat pathogenic bacterial infection.113 The microswimmer (PDA-MSP) consists of a magnetized Spirulina (MSP) matrix and a polydopamine (PDA) surface, which not only preserve the desirable properties of the original MSP but also endowed it with additional functions aimed at the treatment of pathogenic bacterial infection. In this study, the developed microswimmer based on a spiral shape can undergo motion in vivo, and can be used for PDA-enabled PA imaging, off–on fluorescence diagnosis, as well as photothermal therapy for the theranostics of pathogenic MDR KP infection.

4.1.5. Antibacterial. Diseases caused by bacterial infections are once again recognized as a severe global threat to human health due to the emergence and rapid spread of bacterial resistance to available antibiotics and the limited progress in discovering and developing new effective anti-bacterial agents.158 The preparation of composite micro/nanorobots with special structures and properties by the bio-template method is one of the research hotspots in the field of materials science today. Its advantage lies in the spatial limitation and regulatory role of biological templates that can achieve control over composite materials’ surface morphology and structure, not only to obtain composite materials with specific surface morphology but also to achieve an effective composite between nanoscale particles and large-scale biotemplates. In particular, using micro/nanorobots with active propulsion as cargo delivery systems provides an alternative strategy for transporting therapeutic drugs to desired locations that are difficult to reach using traditional strategies. Based on this, a series of biotemplate-based micro/nanorobots for antibacterial application have been developed.

Helical microswimmers can be effectively actuated and can perform controlled locomotion in various fluids; therefore, they can envision precise micromanipulation and efficient environmental purification in low-strength rotating magnetic fields. As displayed in Fig. 10A, Zheng et al. reported a core–shell-structured porous hollow helical microswimmer possessing an inner carbon core of porous surfaces and an outer magnetic shell aggregated by mesoporous spindle-like magnetite nanoparticles (NPs).114 This microswimmer is fabricated using a high-yield template process based on helical S. platensis. Attributed to the existing magnetite NPs of the outer shell, the obtained swimmers have superparamagnetic nature and high magnetic saturation; therefore, they can perform magnetically actuated corkscrew motions under low-strength rotating magnetic fields. More importantly, such swimmers inherit good photothermal attributes and high specific surface area from their magnetite–carbon composition and porous hollow structures, respectively, which can be used for photothermal antibacterial treatment, biological detoxification, and targeted delivery.


image file: d4mh00114a-f10.tif
Fig. 10 Biotemplate-based micro/nanorobots for antibacterial. (A) Spirulina-templated porous hollow carbon@magnetite core–shell microswimmers. Reprinted with permission from ref. 114. Copyright 2021 Elsevier. (B) Biohybrid magnetic microrobots for enhanced E. coli inactivation under visible light irradiation. Reprinted with permission from ref. 106. Copyright 2022 Elsevier. (C) Biohybrid microswimmers against bacterial infections from ref. 122. Copyright 2021 Elsevier. (D) Rotibot: Use of rotifers as self-propelling biohybrid microcleaners. Reprinted with permission from ref. 160. Copyright 2019 Wiley-VCH.

To avoid harmful NIR light and fully use solar energy, using high efficiency visible light inactivating bacteria via the use of natural biotemplates as raw materials is an important target. As shown in Fig. 10B, Xu et al. developed a facile and cost-effective biotemplate method to fabricate a visible light stimulated magnetic microrobot with enhanced photocatalytic antibacterial performances.106 Fe3O4 nanoparticles (NPs) and BiOCl nanosheets (NSs) were deposited on bio-templates in sequence to form Ch.@Fe3O4@BiOCl (CFB) microrobots. The composite structure and abundant natural photosensitizers in the bio-templates endowed them with rapid photocatalytic capability under visible light irradiation, leading to excellent photocatalytic inactivation of E. coli. Under collective rolling mode with enhanced fluidic interactions, the bacterial inactivation rate could also be increased over 30%. Such an excellent performance can be ascribed to the composite microstructure, the abundant natural photosensitizers in the biotemplate, and enhanced fluidic interactions under magnetic actuation.

Bacteria-based biotemplate-based systems face multiple issues, including potential pathogenicity or immunogenicity, rapid growth rate, and potential to develop antibiotic resistance.24C. reinhardtii is known as a phototactic green microalga, and swims steadily towards or away from the light stimulus due to optical receptors. Shchelik et al. reported a strategy for biohybrid microswimmers, which features the covalent attachment of antibiotics with a photo-cleavable linker to the algae C. reinhardtii via two synthetic steps (Fig. 10C).122 This surface engineering does not rely on genetic manipulations, proceeds with high efficiency, and retains the viability or phototaxis of microalgae. This study demonstrated the application of biotemplate-based microswimmers for caging and controlled release of different types of antibiotics that can expand their use against various bacterial infections. The microswimmers could be guided to a particular region to precisely release their antibacterial cargo.

Rotifers control fluid flow by beating their cilia bands for efficient locomotion and feeding. In addition, the robots were evaluated initially as potential antibacterial microcleaners. Based on these, Soto et al. engineered a new biotemplate-based microswimmer featuring antibacterial properties (Fig. 10D).160 The microbeads were functionalized with lysozyme enzymes capable of cleaving glycosidic bonds of peptidoglycans present in the cell walls of different bacteria. The high fluid flow toward the mouth, generated by the strokes of rotifer cilia bands, forces an extremely efficient transport of the contaminated sample over the active surfaces of the functionalized microbeads. The reactive particles confined around the rotifer's lip are thus exposed to a high flow rate of the pollutant solution, resulting in dramatically accelerated antibacterial processes without external mixing or harmful fuels. In this, the rotifer can serve as an extremely efficient self-propulsion engine of the biohybrid microrobot and integrate capabilities that respond to environmental signals and maneuver effectively in their environment.

4.1.6. Capture of organisms. A micro/nanorobot with self-propelled properties and navigating in complex fluidic environments allows localization, pick-up, and delivery of microscopic and nanoscopic objects.161 All these capabilities have made the micro/nanorobot an ideal candidate to serve as a tiny vehicle for capture and targeted drug delivery. In this regard, some special biotemplate-based microswimmers composed of a living microswimmer integrated with artificial structures are designed as practical tools for active capture of organisms and cargo delivery. Next, we will elaborate with some concrete examples.

The natural spiral structure endows micro/nanorobots with excellent motion performance by converting rotational motion to translational motion. In our previous study, we developed a biotemplate-based microswimmer for efficiently capturing and transporting cancer cells as well as killing the cells under light irradiation.87 The spiral vessels isolated from banana leaves were used as biological templates, where nickel layers with magnetic properties and Fe3+–TA (tannic acid, TA) films with pH-dependent degradation capabilities were modified on their surfaces by simple chemical reactions in solution at room temperature (Fig. 11A). Due to the specific chemical interaction between the microswimmers and the surface of cancer cells, the microswimmers can precisely capture and transport these cancer cells in the presence of a magnetic field. Using biotemplates with spiral structures in this way provides a new approach to preparing multifunctional micro/nanorobots.


image file: d4mh00114a-f11.tif
Fig. 11 Biotemplate-based micro/nanorobots for organisms. (A) Bifunctional biohybrid magnetically propelled microswimmer. Reprinted with permission from ref. 87. Copyright 2022 Elsevier. (B) Light-controlled spiky micromotors for efficient capture and transport of targets from ref. 94. Copyright 2022 Elsevier. (C) Light-controlled microbots gathering as a sterilization platform for highly efficient capturing, concentrating and killing targeted bacteria. Reprinted with permission from ref. 95. Copyright 2022 Elsevier.

Pollen grains have a large inner cavity for encapsulating genetic materials, multiscale channels, and numerous spikes on the outer shell or extine. Based on this, Song et al. successfully developed a light-controlled micromotor with efficient motion and loading capacity based on sunflower pollen grains (Fig. 11B).94 In their experiments, as a live cargo model, yeast cells were captured and located in the gap of the micromotors’ spikes. The room between the neighboring spikes was like a grip, which firmly grasped the cells with the increased contact surface. Therefore, micromotors provide a larger surface contact area to increase the binding odds between micromotors and cells, which eventually benefits the capture efficiency. In addition, Song et al. developed a light-controlled microrobot for capturing and gathering bacteria based on photothermal effects (Fig. 11C).95 The sterilization microbots were fabricated from carbonized sunflower pollen grains with a polydopamine coating. A bacterial capture molecule, vancomycin, is grafted onto the outer surface of polydopamine. Under the focused laser, the microbot can show positive phototactic motion and bubble-induced gathering powered by the photothermal-induced Marangoni effect for efficient capture and aggregation of the targeted bacteria. Such microbots could provide a new proof-of-concept perspective on capturing bacteria and sterilization applications.

4.1.7. Cancer treatment. Cancer has been one of the fatal diseases threatening human health in recent decades.162 Recent studies have shown that preparing multifunctional micro/nanorobots with active control and functionalization at the microscale for in vivo cancer therapy is promising. Biotemplates are receiving increasing attention as raw materials for manufacturing micro/nanorobots. Nature provides unique biotemplates with various structures that can be used to manufacture functional micro/nanorobots for different applications.18 Compared to existing manufacturing methods, biological hybridization methods based on natural materials can eliminate complex processes, showing the advantages of cost-effectiveness and simplicity. At this time, a series of functional biotemplate-based micro/nanorobots for cancer therapy emerged due to their active propulsion characteristics and good biocompatibility.

Among the pollen grains, chrysanthemum pollen grains possess excellent morphological characteristics after sequential treatment, like spiny protrusion, hollow cavities, and porous surface structures. These attractive features could be fully utilized for specific functions, making them an attractive platform to provide comprehensive therapeutic strategies for biomedical applications. Chrysanthemum pollen grains possessing a large internal cavity were used for drug encapsulation and the ordered burr-like microspikes around the surface could be utilized for physical assassination to kill tumor cells. Utilizing natural morphological characteristics, Liu et al. developed chrysanthemum pollen-derived biotemplate-based magnetic microrobots for synergistic tumor therapy by combining magnetically controlled physical assassination and active drug delivery.82 As shown in Fig. 12A, the microrobots could be actively steered for targeted cell delivery and tissue regeneration under a magnetic field. This biotemplate-based microrobot provides a typical example of utilizing natural morphologies to develop multifunctional active matter at the microscale for the next generation of active therapeutics.


image file: d4mh00114a-f12.tif
Fig. 12 Biotemplate-based micro/nanorobots for cancer treatment. (A) Biohybrid magnetic microrobots for tumor assassination and active tissue regeneration. Reprinted with permission from ref. 82. Copyright 2022 American Chemical Society. (B) Facile fabrication of magnetic microrobots based on spirulina templates for targeted delivery and synergistic chemo-photothermal therapy. Reprinted with permission from ref. 70. Copyright 2019 American Chemical Society. (C) Sequential magneto-actuated and optics-triggered biomicrorobots for targeted cancer therapy. Reprinted with permission from ref. 78. Copyright 2021 Wiley-VCH. (D) Human spermbots for patient-representative 3D ovarian cancer cell treatment. Reprinted with permission from ref. 103. Copyright 2020 Royal Society of Chemistry.

Microalgae have a high capacity of light absorption (e.g., UV light) because of their various chromophores and have antioxidant and anti-inflammatory properties. They have been used for other types of phototherapies to treat skin diseases such as cancer and inflammatory diseases. Considering all the factors mentioned above, as shown in Fig. 12B, Wang et al. proposed a strategy that uses biomaterial Sp. as a scaffold to fabricate magnetic microrobots. They can load anticancer drugs and photothermal agents to achieve synergistic and enhanced therapeutic efficacy.70 The microrobots can be degraded under NIR irradiation and exhibit pH- and NIR-triggered drug release to realize cancer therapy. This work provides an integrated route for fabricating multifunctional microrobots with high swimming speed, precise directional guidance, ultrahigh drug loading efficiency, and efficient photothermal conversion ability toward targeted delivery applications and synergistic chemo-phototherapy in a single platform.

In addition, bacteria-based microrobots can offer valuable intrinsic characteristics of bacterial microorganisms, such as self-sensing, self-propulsion, fluorescence, and chemotaxis toward tumor sites. Magnetococcus marinus strain, magnetospirillum magneticum (AMB-1), is a candidate for preparing functionalized micro/nanorobots for tumor therapy because magnetosomes inside the body are susceptible to external magnetic fields and can be autonomously manipulated to the tumor site. Xing et al. reported a biotemplate-based microrobot (Fig. 12C) composed of motile AMB-1 and light-triggered indocyanine green nanoparticles (INPs).78 The INPs, as a hitchhiker circulates in the blood, are transported by magnetotaxis bacteria AMB-1 with magneto-anaerobic behavior, and then enriched in tumors for subsequently ablating the tumors by photothermal therapy under NIR laser irradiation. AI microrobots based on autonomous flagellum propulsion of AMB-1 can realize controlled navigation, focal localization, deep penetration, and tumor colonization in vivo.

Spermatozoa are highly efficient micromotors perfectly adapted to traveling up the female reproductive system. Indeed, bovine sperm-based micromotors have shown the potential to carry drugs for gynecological cancer treatment.163 As shown in Fig. 12D, Xu et al. presented a fully functional drug delivery system based on human sperm.103 In order to establish a robust pipeline for anticancer drug loading (DOX, model drug) in human sperm, they investigated the DOX loading mechanism and integrated the system into a versatile enhancement platform suitable for targeting early ovarian cancer lesions. The study of free-swimming sperm technologies will become more critical in the diagnostic and therapeutic field.

4.1.8. Other biological applications. Functional biotemplate-based micro/nanomotors are a potential development direction of micro/nanorobots. Biotemplate-based micro/nanomotors have good biocompatibility and loading. Combined with outfield driving or self-directional movement, they have played an essential role in drug targeting, imaging, cancer treatment, and other aspects of the human body. Therefore, among many future applications of biotemplate-based micro/nanorobots, applications in the biomedical field will be up-and-coming. Simultaneously, with the continuous deepening and development of research, micro/nanorobots will gradually play a more significant role in biological applications. Next, we will introduce more biological micro/nanorobot applications in biomedicine.

Recently, biotemplate-based micro/nanorobot technology has been applied to improve plant cell growth, aid in the differentiation process, or in their reproduction to produce new plants. Huska et al. developed a new methodology to obtain plant cell motors by translocation of ferromagnetic materials (Fe3O4) inside tomato-biobots during their callus growth (Fig. 13A).89 In this study, they have demonstrated that the translocation of Fe3O4 did not affect the viability of plant biotemplate-based robots. Developed tomato-biobots can drive by a transversal rotating magnetic field. In addition, the proposed methodology produces tomato-biobots that can load, store, and deliver biomolecules and thus significantly improve health, growth, and dividing plant callus cells. In this way, they have demonstrated that they can generate tomato cell clones from plant biotemplate-based robots. The research is still in the beginning stage; however, it is highly promising and offers unexpected opportunities of great dimensions that could revolutionize the entire biotechnology world.


image file: d4mh00114a-f13.tif
Fig. 13 Biotemplate-based micro/nanorobots for biological applications. (A) Magnetic biohybrid robots as efficient drug carrier to generate plant cell clones. Reprinted with permission from ref. 89. Copyright 2022 Wiley-VCH. (B) Bio-micromotor tweezers for noninvasive bio-cargo delivery and precise therapy. Reprinted with permission from ref. 124. Copyright 2022 Wiley-VCH. (C) Controlling the neural stem cell fate with biohybrid piezoelectrical magnetite micromotors. Reprinted with permission from ref. 117. Copyright 2021 American Chemical Society. (D) Nanoparticle-modified microrobots for in vivo antibiotic delivery to treat acute bacterial pneumonia. Reprinted with permission from ref. 121. Copyright 2022 Nature Research.

C. reinhardtii is a biflagellate unicellular freshwater green microalga. Due to their ideal size, abundance, motility, and biocompatibility, C. reinhardtii cells are excellent natural candidates as living rotary micro motors to actuate microflows precisely. Pan et al. reported optical trapping-driven bio-micromotor tweezers by using living C. reinhardtii alone for noninvasive delivery of bio-cargos, including microparticles, cells, and drugs further for precise cancer cell therapy (Fig. 13B).124 By actuating a localized flow field around different targeted bio-cargos, two optically trapped rotating CR cells potentially act as micromotor tweezers for noncontact capture and transport of bio-cargos along arbitrary trajectories in bio-microenvironments in a noninvasive, flexible, and biocompatible manner. Such bio-micromotor tweezers depend on the motion of C. reinhardtii and provide great potential for different biomedical applications such as targeted drug/cell delivery, drug testing, accurate diagnosis, and precise therapy.

Inducing neural stem cells to differentiate and replace degenerated functional neurons represents the most promising approach for degenerative neural diseases, including Parkinson's disease, Alzheimer's disease, etc. While diverse strategies have been proposed in recent years, most of these are hindered due to uncontrollable cell fate and device invasiveness. Thus, Liu et al. reported a minimally invasive micromotor platform with biodegradable helical S. platensis as the framework and superparamagnetic Fe3O4 nanoparticles/piezoelectric BaTiO3 nanoparticles as the built-in function units (Fig. 13C).117 With a low-strength rotational magnetic field, this integrated micromotor system can precisely navigate in biofluids and achieve single-neural stem cell targeting, which is attributable to helical structures and magnetic layers endowed with directional motion, enabling it to become a system capable of controlling the differentiation fate of the neural stem cells in situ in a simple, wireless, and minimally invasive way.

Neutrophil membrane-coated NPs are used because of their unique cell-mimicking properties, including shielding payloads from biological environments, reducing immune clearance and enabling specific binding with target pathogens. Natural algae can be combined with the engineering versatility of biomimetic NPs to yield a hybrid microrobot platform capable of active drug delivery. In Zhang et al.'s design, they create a biotemplate-based microrobot consisting of C. reinhardtii microalgae modified with neutrophil membrane-coated and drug-loaded polymeric nanoparticles (denoted as ‘algae-NP-robot’) for the in vivo treatment of lung infection (Fig. 13D).164 In a mouse model of acute Pseudomonas aeruginosa pneumonia, the microrobots effectively reduced the bacterial burden and substantially lessened animal mortality with negligible toxicity. Overall, these findings highlight the attractive functions of algae–nanoparticle hybrid microrobots for the active in vivo delivery of therapeutics to the lungs in intensive care unit settings.

4.2. Environmental applications

Rapid industrialization generates a large number of chemical wastes, such as dyes, oils, pesticides, heavy metal ions, and others. These harmful organic substances accumulated in our surroundings threaten human health. However, conventional chemical detoxification technology typically needs prolonged operation time and/or mechanical stirring, and is low-efficient for water treatment.165 Due to their autonomous motion properties, the burgeoning micro/nanorobots can accelerate the process by enhancing contact with the treatment solution.87 Unlike conventional processes, self-propulsion micro/nanorobots are promising in fast and advanced water treatments. The customizable surface of micro/nanorobots can be functionalized with catalysts and adsorbent functions for the catalytic degradation and adsorptive removal processes.166 By reasonable structure design and surface functionalization, micro/nanorobots have been developed as powerful “on-the-fly” cleaning platforms for removing organic, inorganic, and biological pollutants.167 Natural biotemplates are renewable plants with special structures and can be easily obtained at a low price, enabling the mass preparation of intelligent micro/nanorobots at an inexpensive cost. Thus, a series of micro/nanorobots with an excellent capacity based on biotemplates as templates were developed.
4.2.1. Adsorbed metal ions. Many heavy metals, such as copper, nickel, cobalt, zinc, arsenic, mercury, cadmium, chromium, lead, and so on, prove cumulatively toxic to living organisms and long biological half-lives.168 Over the past centuries, the gradually increasing levels of metals in water solutions have reached an alarming value, thus putting forward an urgent need for developing novel materials and technologies to remove them in a green, efficient, and reusable fashion.168 Benefiting from the excellent adsorption properties of biotemplates, living and dead microorganisms (such as bacteria, fungi, plant fiber, and algae) have remarkable uptake ability for metals, enabling them to sequester metal ions out of the complex solution from the ppm to ppb level effectively and quickly.169,170 Considering their abundant sources, environmental friendliness, and vast adsorption capacity, integrating them with self-propelled micro/nanorobots is an ideal biosorption way to remove heavy metals in a green and effective manner.

Inspired by the natural kapok fiber with a unique hollow tubular structure containing cellulose and lignin, which could provide unbalanced force conditions in the motion of micro/nanomotors, Yang et al. reported a kapok fiber inspired functionalized Eu-MOF-based fluorescent micromotor. It is an active self-propelled micromachine for detecting, capturing, and removing Fe3+ from water (Fig. 14A).83 This micromotor has the merits of high sensitivity, good selectivity, and high dynamic adsorption for Fe3+. Based on this, it can be extended to detecting and removing other target ions, boosting the preparation of fluorescent micromotors for environmental management. Compared with various conventionally static nanomaterials, self-propelled micromotors have greatly enhanced the efficiency of traditional operations due to the phenomena of active motion of matter and have been demonstrated to exhibit an extremely significant effect on the detection of various contaminants.


image file: d4mh00114a-f14.tif
Fig. 14 Biotemplate-based micro/nanorobots for adsorbed metal ions. (A) An Eu-MOF/EDTA-NiAl-CLDH fluorescent micromotor for sensing and removal of Fe3+ from water. Reprinted with permission from ref. 83. Copyright 2019 Royal Society of Chemistry. (B) Ion-imprinted MnO2/CoFe2O4 Janus magnetic micromotors synthesized by a lotus pollen template for highly selective recognition and capture of Pb(II) ions. Reprinted with permission from ref. 90. Copyright 2022 Royal Society of Chemistry. (C) Efficient removal of Pb(II) from aqueous systems using spirulina-based biohybrid magnetic helical microrobots. Reprinted with permission from ref. 111. Copyright 2021 American Chemical Society. (D) Enhanced removal of toxic heavy metals using swarming biohybrid adsorbents. Reprinted with permission from ref. 141. Copyright 2018 Wiley-VCH.

Lotus pollen grains, the sori of lotus, were selected as the biotemplate to prepare Janus micromotors due to their characteristic porous microporous morphology, acceptable cost, and ready availability.171 As seen in Fig. 14B, Han et al. developed a novel Janus micromotor based on the combination of ion-imprinted recognition cavities and self-propelling motion for the sensitive recognition and removal of Pb(II) ions from water.90 Ion-imprinted MnO2/CoFe2O4 Janus micromotors inherit the porous structure of lotus pollen grains and reveal sensitive recognition and capture for Pb(II) ions and magnetic recovery capability. This study provides a new strategy for the highly selective removal of metal contaminating ions from water. Besides, microalgae have unique biological structures with plentiful active sites on the surface, such as hydroxyl and carboxyl groups, and both living and dead ones exhibit certain adsorption validity. Gong et al. presented Fe3O4 and MnO2-loaded biotemplate-based magnetic helical microrobots (BMHMs) based on Spirulina cells for Pb(II) removal (Fig. 14C).111 The BMHMs could be magnetically actuated forward flexibly and perform continuous cork-screw spinning in swarm for intensive adsorption. Rapid and significant removal of Pb(II) was achieved using the swarming BMHMs. The adsorption capacity could reach 245.1 mg g−1, higher than those of most of the reported MnO2-based adsorbents. The intriguing properties of the BMHMs enable them to be versatile platforms with significant potential in wastewater remediation.

Porous biotemplates are often used as adsorbents, such as Ganoderma spores. As shown in Fig. 14D, Zhang et al. developed a biotemplate-based adsorbent through in situ growing magnetic Fe3O4 nanoparticles on hydrothermally treated fungi spores.141 Such organic/inorganic porous spore@Fe3O4 biotemplate-based adsorbents (PSFBAs) can effectively adsorb and remove heavy metal ions due to porous structuring and high-adsorbing components. Once combined with a magnetically driven microrobotic technique, magnetic PSFBAs in controllably collective motion show enhanced adsorption capacity and shorter removal time for multiple heavy metal ions compared to nonmotile counterparts. Combining biological entities and swarming microrobotic techniques would provide a promising avenue for decontaminating pollutants in environmental remediation.

4.2.2. Removal of pollutants. Pollutants (such as rhodamine B, chlorpyrifos, oil, and microplastics) can cause severe soil, river, and groundwater pollution.172–175 Although several porous nano/microscale absorbents have been developed to absorb pollutants, they are less efficient due to their passive motion property.97,176 Purifying them is also tedious work. In particular, biotemplate-based micro/nanorobots have shown a new dimension in motion-based decontamination processes and led to new “instant” remediation solutions, higher efficiency, shorter decontamination times, and potentially lower costs.

It is meaningful to achieve large-scale reproducible production of biotemplate-based micromotors for removing erythromycin (ERY) using a relatively facile procedure and acceptable cost. Li et al. used a facile bio-template route to synthesize a novel Pt-free temperature-responsive micromachine with fascinating recognition, capture and release capacities for erythromycin in water based on the integration of surface imprinted technology, the temperature-response of poly(N-isopropylacrylamide) (PNIPAM) hydrogels, and the autonomous motion ability of a micromotor.91 The resulting Janus micromotor exhibited higher temperature-controlled recognition and adsorption capacities than most reported erythromycin-imprinted materials but also revealed high trajectory control ability and easy recovery by an external magnetic field, showing great potential for biomedical and water purification applications (Fig. 15A). Besides, fabricating plant-derived biobots combined with plant tissue and ferromagnetic materials for decontamination is a new direction for biotemplate-based robots. Song et al. used tomato leaf-derived calli to fabricate plant robots, and their efficiency for chlorpyrifos removal was investigated.88 The Fe3O4 NPs were transported through the cell growth media and then taken up into the plant tissue cells, imparting the plant biobot with magnetic function (Fig. 15B). The magnetic plant biobots demonstrated rapid and efficient removal of chlorpyrifos (approximately 80%).


image file: d4mh00114a-f15.tif
Fig. 15 Biotemplate-based micro/nanorobots for degrading pollutants. (A) Bioinspired Pt-free molecularly imprinted hydrogel-based magnetic Janus micromotors for temperature-responsive recognition and adsorption of erythromycin in water. Reprinted with permission from ref. 91. Copyright 2019 Elsevier. (B) Engineered magnetic plant biobots for nerve agent removal. Reprinted with permission from ref. 88. Copyright 2022 Nature Research. (C) Cooperative recyclable magnetic microsubmarines for oil and microplastics removal from water. Reprinted with permission from ref. 97. Copyright 2020 Elsevier. (D) Biotemplating of metal–organic framework nanocrystals for applications in small-scale robotics. Reprinted with permission from ref. 115. Copyright 2020 Wiley-VCH.

The sunflower pollen grains (SPGs) have several remarkable structural features: large free volumes, multitudinous nanopores, and numerous nano spikes, which could make them attractive for water remediation. Sun et al. reported a “hedgehog” magnetic microsubmarine based on SPGs, which can simultaneously remove oil and microplastic pollutants.97 As displayed in Fig. 15C, these hollow microsubmarines were fabricated on a large scale by sequentially treating the natural SPGs with acidolysis and sputtering. The hollow structure allows a double functionality: (i) like a submarine, propel under or above the water, depending on the fillings inside; (ii) oil pollutant storage. The microsubmarine can transport oil droplets 37 times larger than its volume and effectively adsorb floating oil via capillary action. And the fluid induced by the cooperative microsubmarines can remove the microplastics controllably in a noncontact method.

Furthermore, biotemplates can be extended to design MOF-based motors for various applications, from biomedicine to environmental remediation. Terzopoulou et al. presented a universal biotemplate-based methodology to fabricate 3D helical assemblies of MOF robotics.115 Specifically, S. platensis is used as a biotemplate on which multiple components comprising a magnetic chassis, a gelatin binder film, and a MOF nanocrystal coating are assembled (Fig. 15D). The robot is used to perform microrobotic targeted drug delivery in cancer cells due to high-precision 3D rotation and photocatalytic degradation of an organic pollutant in water. Such helical robots can be used as highly integrated magnetically driven microrobots with multiple functionalities.

4. Conclusion and outlook

Intelligent micro/nanorobots show good potential for applications in drug delivery, imaging, cancer therapy, environmental remediation and cargo handling due to their ability to convert external energy into motion under external magnetic fields. Utilizing natural materials as biotemplates to obtain intelligent micro/nanorobots is a new trend in recent years due to their elegant structures and abundant surface functional groups. Based on the characteristics of biotemplates, our review introduced the advantages of natural materials as biotemplates, then systematically discussed the characteristics and preparation strategies of each type of intelligent micro/nanorobots, and finally summarized the applications of intelligent micro/nanorobots in different fields. Although great progress has been made in intelligent micro/nanorobots, there remain some shortcomings of current biotemplates. To further expand the potential of intelligent micro/nanorobots for applications, several challenges should be urgently considered and addressed. For example:

1. Source

Despite the relative abundance of biotemplates in nature, the sources of biotemplates for the preparation of specific structures are limited and are obtained by large-scale extraction from specific tissues or mass culture of microbial cells, which requires relevant extraction techniques, microbial culture techniques and the support of equipment. Therefore, it is necessary to develop an inexpensive and readily available biotemplate source.

2. Stability

The thermal stability of biotemplates is poor. When biotemplates are removed by heat treatment, high temperature can easily lead to the collapse of their porous structure and the loss of their micro/nanostructure, and they cannot play the role of templates or morphology inducers, which greatly limits their scope of use. Thus, it is important to choose the right biotemplates.

3. Lifetime

Considering that micro/nanorobots need to convert chemical fuels or diverse external energies to propulsion force for specific applications in versatile environments, it requires that micro/nanorobots possess long-term durability. Such micro/nanorobots can be used for recycling, which reduces resource and energy consumption and promotes sustainable development. Especially, live cells such as microalgae can generate strong long-lasting thrust for self-propulsion at a fast speed.

4. Biocompatibility

Biocompatibility is critical for designing microrobots for biomedical applications. In most cases, due to various requirements for drive, control, and functionality, the selected biotemplates cannot be used without without toxicity. Therefore, in the design process, biotemplates should meet the minimum requirements for biocompatibility.

5. Living organisms' self-propulsion

Currently, most intelligent micro/nanorobots are based on inanimate biotemplates. However, biotemplates with life activity usually have unique characteristics or motion properties. Making full use of biotemplates with life activity and integrating the autonomous response, autonomous motion and self-healing properties to develop intelligent micro/nanorobots with dynamic response and autonomous adaptive working is very significant.

6. Multifunctional materials

Multifunctional materials are the future research trend, not only integrating materials but also combining multiple functions such as imaging, sensing, therapeutic and restorative environments in one system to achieve multifunctional applications.

Biotemplates not only have unique structures but also have specific functions, and are an important development direction in the future development of intelligent micro/nanorobots. We believe that with the development and the expansion of biotemplates and micro- and nanotechnology, the future intelligent micro/nanorobots will be more intelligent, efficient and safe, and become a brand new technological revolution to solve complex problems in the microscopic field in the future.

Note

There are no ethical concerns in this review.

Author contributions

T. Chen conceived the review and wrote the manuscript. Y. Cai, B. J. Sánchez, B. Ren, and R. Dong supervised the review and finalized the manuscript. All authors have given approval to the final version of the article.

Conflicts of interest

There are no conflicts to declare.

Acknowledgements

This work was supported by General Project of Natural Science Foundation of Guangdong Province (2022A1515010715) and Research and development plan projects in key areas of Guangdong Province (2020B0101030005). B. J. S acknowledges support from the Spanish Ministry of Science, Innovation and Universities [Grant PID2020-118154GB-I00 funded by MCIN/AEI/10.13039/501100011033, grant TED2021-132720B-I00, funded by MCIN/AEI/10.13039/501100011033 and the European Union “NextGenerationEU”/PRTR; grant CNS2023-144653] and the Universidad de Alcalá [Línea de Actuación Excelencia para el Profesorado Universitario de la UAH, EPU-INV-UAH/2022/003].

References

  1. L. Wang, Y. Shi, J. Jiang, C. Li, H. Zhang, X. Zhang, T. Jiang, L. Wang, Y. Wang and L. Feng, Small, 2022, e2203678,  DOI:10.1002/smll.202203678.
  2. H. Wang and M. Pumera, Adv. Funct. Mater., 2018, 28 Search PubMed.
  3. W. Liu, X. Chen, X. Lu, J. Wang, Y. Zhang and Z. Gu, Adv. Funct. Mater., 2020, 30 Search PubMed.
  4. Q. Wang, R. Dong, Q. Yang, J. Wang, S. Xu and Y. Cai, Nanoscale Horiz., 2020, 5, 325–330 RSC.
  5. C. Wang, Q. Wang, R.-F. Dong and Y.-P. Cai, Inorg. Chem. Commun., 2018, 91, 8–15 CrossRef CAS.
  6. D. Jin and L. Zhang, Acc. Chem. Res., 2022, 55, 98–109 CrossRef CAS PubMed.
  7. P. L. Venugopalan, B. Esteban-Fernandez de Avila, M. Pal, A. Ghosh and J. Wang, ACS Nano, 2020, 14, 9423–9439 CrossRef CAS PubMed.
  8. J. Park, J. Y. Kim, S. Pane, B. J. Nelson and H. Choi, Adv Healthcare Mater., 2021, 10, e2001096 CrossRef PubMed.
  9. B. Ezhilan, W. Gao, A. Pei, I. Rozen, R. Dong, B. Jurado-Sanchez, J. Wang and D. Saintillan, Nanoscale, 2015, 7, 7833–7840 RSC.
  10. Q. Zhang, R. Dong, Y. Wu, W. Gao, Z. He and B. Ren, ACS Appl. Mater. Interfaces, 2017, 9, 4674–4683 CrossRef CAS PubMed.
  11. Z. Wu, T. Li, W. Gao, T. Xu, B. Jurado-Sánchez, J. Li, W. Gao, Q. He, L. Zhang and J. Wang, Adv. Funct. Mater., 2015, 25, 3881–3887 CrossRef CAS.
  12. B. Esteban-Fernandez de Avila, A. Martin, F. Soto, M. A. Lopez-Ramirez, S. Campuzano, G. M. Vasquez-Machado, W. Gao, L. Zhang and J. Wang, ACS Nano, 2015, 9, 6756–6764 CrossRef CAS PubMed.
  13. M. Mathesh, J. Sun, F. van der Sandt and D. A. Wilson, Nanoscale, 2020, 12, 22495–22501 RSC.
  14. W. Wang, Z. Wu, X. Lin, T. Si and Q. He, J. Am. Chem. Soc., 2019, 141, 6601–6608 CrossRef CAS PubMed.
  15. J. Katuri, X. Ma, M. M. Stanton and S. Sanchez, Acc. Chem. Res., 2017, 50, 2–11 CrossRef CAS PubMed.
  16. Y. Si, Z. Dong and L. Jiang, ACS Cent. Sci., 2018, 4, 1102–1112 CrossRef CAS PubMed.
  17. W. Gao, X. Feng, A. Pei, C. R. Kane, R. Tam, C. Hennessy and J. Wang, Nano Lett., 2014, 14, 305–310 CrossRef CAS PubMed.
  18. H. Zhou, T. Fan and D. Zhang, ChemSusChem, 2011, 4, 1344–1387 CrossRef CAS PubMed.
  19. D. Ni, L. Wang, Y. Sun, Z. Guan, S. Yang and K. Zhou, Angew. Chem., Int. Ed., 2010, 49, 4223–4227 CrossRef CAS PubMed.
  20. Y. Pan, W. J. Paschoalino, A. Szuchmacher Blum and J. Mauzeroll, ChemSusChem, 2021, 14, 758–791 CrossRef CAS PubMed.
  21. J. Zhao, Y. Li, X. Chen, H. Zhang, C. Song, Z. Liu, K. Zhu, K. Cheng, K. Ye, J. Yan, D. Cao, G. Wang and X. Zhang, Electrochim. Acta, 2018, 292, 458–467 CrossRef CAS.
  22. Y. Xia, R. Fang, Z. Xiao, L. Ruan, R. Yan, H. Huang, C. Liang, Y. Gan, J. Zhang, X. Tao and W. Zhang, RSC Adv., 2016, 6, 69764–69772 RSC.
  23. Z. Lin, T. Jiang and J. Shang, Bio-Des. Manuf., 2021, 5, 107–132 CrossRef.
  24. Y. Alapan, O. Yasa, B. Yigit, I. C. Yasa, P. Erkoc and M. Sitti, Ann. Rev. Control Robot. Auton. Syst., 2019, 2, 205–230 CrossRef.
  25. N. Buss, O. Yasa, Y. Alapan, M. B. Akolpoglu and M. Sitti, APL Bioeng., 2020, 4, 026103 CrossRef CAS PubMed.
  26. L. Bi and G. Pan, J. Mater. Chem. A, 2014, 2, 3715–3718 RSC.
  27. A. Mahto, A. Singh, K. Aruchamy, A. Maraddi, G. R. Bhadu, N. S. Kotrappanavar and R. Meena, Sustainable Mater. Technol., 2021, 29 Search PubMed.
  28. G. Huang, F. Chen, Y. Kuang, H. He and A. Qin, Appl. Biochem. Biotechnol., 2016, 178, 1220–1238 CrossRef CAS PubMed.
  29. P. Rani and R. Srivastava, Chem. Rec., 2020, 20, 968–988 CrossRef CAS PubMed.
  30. L. Lu, J. Li, J. Yu, P. Song and D. H. L. Ng, Chem. Eng. J., 2016, 283, 524–534 CrossRef CAS.
  31. W. Li, Z. Chen, H. Yu, J. Li and S. Liu, Adv. Mater., 2021, 33, e2000596 CrossRef PubMed.
  32. J. A. Gomez, K. Höffner and P. I. Barton, Green Chem., 2016, 18, 461–475 RSC.
  33. O. I. Senturk, O. Schauer, F. Chen, V. Sourjik and S. V. Wegner, Adv. Healthcare Mater., 2020, 9, e1900956 CrossRef PubMed.
  34. N. Pellicciotta, O. S. Bagal, V. C. Sosa, G. Frangipane, G. Vizsnyiczai and R. D. Leonardo, Adv. Funct. Mater., 2023, 33 Search PubMed.
  35. H. Li, L. Wang, Y. Wei, W. Yan and J. Feng, Front. Chem., 2022, 10, 882876 CrossRef CAS PubMed.
  36. F. Duan, Y. Zhu, H. Yu and A. Wang, Colloids Surf., A, 2022, 648 Search PubMed.
  37. X. Li, F. Qu, W. Li, H. Lin and Y. Jin, J. Sol-Gel Sci. Technol., 2012, 63, 416–424 CrossRef CAS.
  38. V. R. Franceschi and P. A. Nakata, Annu. Rev. Plant Biol., 2005, 56, 41–71 CrossRef CAS PubMed.
  39. S. K. Srivastava, M. Medina-Sanchez, B. Koch and O. G. Schmidt, Adv. Mater., 2016, 28, 832–837 CrossRef CAS PubMed.
  40. L.-F. Chen, S.-X. Ma, S. Lu, Y. Feng, J. Zhang, S. Xin and S.-H. Yu, Nano Res., 2016, 10, 1–11 CrossRef.
  41. T. Maric, M. Z. M. Nasir, N. F. Rosli, M. Budanović, R. D. Webster, N. J. Cho and M. Pumera, Adv. Funct. Mater., 2020, 30 Search PubMed.
  42. J. Liu, J. Li, G. Wang, W. Yang, J. Yang and Y. Liu, J. Colloid Interface Sci., 2019, 555, 234–244 CrossRef CAS PubMed.
  43. J. Liu, T. Xu, Y. Guan, X. Yan, C. Ye and X. Wu, Micromachines, 2017, 8 CrossRef CAS PubMed.
  44. H. Wang, M. G. Potroz, J. A. Jackman, B. Khezri, T. Marić, N.-J. Cho and M. Pumera, Adv. Funct. Mater., 2017, 27 Search PubMed.
  45. N. Ebrahimi, C. Bi, D. J. Cappelleri, G. Ciuti, A. T. Conn, D. Faivre, N. Habibi, A. Hošovský, V. Iacovacci, I. S. M. Khalil, V. Magdanz, S. Misra, C. Pawashe, R. Rashidifar, P. E. D. Soto-Rodriguez, Z. Fekete and A. Jafari, Adv. Funct. Mater., 2020, 31 Search PubMed.
  46. Z. H. Wang, A. Klingner, V. Magdanz, S. Misra and I. S. M. Khalil, Adv. Intell. Syst., 2023, 6 CAS.
  47. C. H. Villa, A. C. Anselmo, S. Mitragotri and V. Muzykantov, Adv. Drug Delivery Rev., 2016, 106, 88–103 CrossRef CAS PubMed.
  48. L. Sun, Y. Yu, Z. Chen, F. Bian, F. Ye, L. Sun and Y. Zhao, Chem. Soc. Rev., 2020, 49, 4043–4069 RSC.
  49. W. Wang and S. Wang, Lab Chip, 2022, 22, 1042–1067 RSC.
  50. T. Liu, C. Gao, D. Gu and H. Tang, Drug Delivery Transl. Res., 2022, 12, 2634–2648 CrossRef PubMed.
  51. J. Wang, R. Ahmed, Y. Zeng, K. Fu, F. Soto, B. Sinclair, H. T. Soh and U. Demirci, Small, 2020, 16, e2005185 CrossRef PubMed.
  52. Z. Wu, T. Li, J. Li, W. Gao, T. Xu, C. Christianson, W. Gao, M. Galarnyk, Q. He, L. Zhang and J. Wang, ACS Nano, 2014, 8, 12041–12048 CrossRef CAS PubMed.
  53. J. S. Brenner, D. C. Pan, J. W. Myerson, O. A. Marcos-Contreras, C. H. Villa, P. Patel, H. Hekierski, S. Chatterjee, J. Q. Tao, H. Parhiz, K. Bhamidipati, T. G. Uhler, E. D. Hood, R. Y. Kiseleva, V. S. Shuvaev, T. Shuvaeva, M. Khoshnejad, I. Johnston, J. V. Gregory, J. Lahann, T. Wang, E. Cantu, W. M. Armstead, S. Mitragotri and V. Muzykantov, Nat. Commun., 2018, 9, 2684 CrossRef PubMed.
  54. X. Pan, Q. Wang, S. Li, X. Wang and X. Han, ChemistrySelect, 2019, 4, 10296–10298 CrossRef CAS.
  55. Q. Chen, S. Tang, Y. Li, Z. Cong, D. Lu, Q. Yang, X. Zhang and S. Wu, ACS Appl. Mater. Interfaces, 2021, 13, 58382–58392 CrossRef CAS PubMed.
  56. C. Caroppo and P. Pagliara, Microorganisms, 2022, 10 Search PubMed.
  57. F. G. A. Fernandez, A. Reis, R. H. Wijffels, M. Barbosa, V. Verdelho and B. Llamas, New Biotechnol., 2021, 61, 99–107 CrossRef CAS PubMed.
  58. S. Gomez-Zorita, J. Trepiana, M. Gonzalez-Arceo, L. Aguirre, I. Milton-Laskibar, M. Gonzalez, I. Eseberri, A. Fernandez-Quintela and M. P. Portillo, Int. J. Mol. Sci., 2019, 21 Search PubMed.
  59. L. Tounsi, F. Hentati, H. Ben Hlima, M. Barkallah, S. Smaoui, I. Fendri, P. Michaud and S. Abdelkafi, Int. J. Biol. Macromol., 2022, 221, 1238–1250 CrossRef CAS PubMed.
  60. K. A. Martinez Andrade, C. Lauritano, G. Romano and A. Ianora, Mar. Drugs, 2018, 16 Search PubMed.
  61. Z. C. Liang, M. H. Liang and J. G. Jiang, Crit. Rev. Food Sci. Nutr., 2020, 60, 3195–3213 CrossRef CAS PubMed.
  62. F. Zhang, Z. Li, C. Chen, H. Luan, R. H. Fang, L. Zhang and J. Wang, Adv. Mater., 2024, 36, e2303714 CrossRef PubMed.
  63. E. S. J. Thore, K. Muylaert, M. G. Bertram and T. Brodin, Curr. Biol., 2023, 33, R91–R95 CrossRef CAS PubMed.
  64. X. Yan, J. Xu, Q. Zhou, D. Jin, C. I. Vong, Q. Feng, D. H. L. Ng, L. Bian and L. Zhang, Appl. Mater. Today, 2019, 15, 242–251 CrossRef.
  65. H. Xin, N. Zhao, Y. Wang, X. Zhao, T. Pan, Y. Shi and B. Li, Nano Lett., 2020, 20, 7177–7185 CrossRef CAS PubMed.
  66. J. Xiong, Y. Shi, T. Pan, D. Lu, Z. He, D. Wang, X. Li, G. Zhu, B. Li and H. Xin, Adv. Sci., 2023, 10, e2301365 CrossRef PubMed.
  67. L. Liu, J. Wu, B. Chen, J. Gao, T. Li, Y. Ye, H. Tian, S. Wang, F. Wang, J. Jiang, J. Ou, F. Tong, F. Peng and Y. Tu, ACS Nano, 2022, 16, 6515 CrossRef CAS PubMed.
  68. A. Panda, A. S. Reddy, S. Venkateswarlu and M. Yoon, Nanoscale, 2018, 10, 16268–16277 RSC.
  69. O. Yasa, P. Erkoc, Y. Alapan and M. Sitti, Adv. Mater., 2018, 30, e1804130 CrossRef PubMed.
  70. X. Wang, J. Cai, L. Sun, S. Zhang Gong, X. Li, S. Yue, L. Feng and D. Zhang, ACS Appl. Mater. Interfaces, 2019, 11, 4745–4756 CrossRef CAS PubMed.
  71. H. W. Shim, A. H. Lim, J. C. Kim, E. Jang, S. D. Seo, G. H. Lee, T. D. Kim and D. W. Kim, Sci. Rep., 2013, 3, 2325 CrossRef PubMed.
  72. Y. Liu, C. Zhu, F. Wan, W. Fang, B. Xue, Z. Zheng, H. Ping, H. Xie, H. Wang, W. Wang and Z. Fu, Giant, 2022, 11 Search PubMed.
  73. U. Goswami, A. K. Sahoo, A. Chattopadhyay and S. S. Ghosh, ACS Omega, 2018, 3, 6113–6119 CrossRef CAS PubMed.
  74. E. B. Steager, M. S. Sakar, D. H. Kim, V. Kumar, G. J. Pappas and M. J. Kim, J. Micromech. Microeng., 2011, 21 Search PubMed.
  75. T. Gwisai, N. Mirkhani, M. G. Christiansen, T. T. Nguyen, V. Ling and S. Schuerle, Sci. Robot., 2022, 7, eabo0665 CrossRef CAS PubMed.
  76. S. J. Park, S. H. Park, S. Cho, D. M. Kim, Y. Lee, S. Y. Ko, Y. Hong, H. E. Choy, J. J. Min, J. O. Park and S. Park, Sci. Rep., 2013, 3, 3394 CrossRef PubMed.
  77. H. Chen, Y. Li, Y. Wang, P. Ning, Y. Shen, X. Wei, Q. Feng, Y. Liu, Z. Li, C. Xu, S. Huang, C. Deng, P. Wang and Y. Cheng, ACS Nano, 2022, 16, 6118–6133 CrossRef CAS PubMed.
  78. J. Xing, T. Yin, S. Li, T. Xu, A. Ma, Z. Chen, Y. Luo, Z. Lai, Y. Lv, H. Pan, R. Liang, X. Wu, M. Zheng and L. Cai, Adv. Funct. Mater., 2020, 31 Search PubMed.
  79. D. Yang, T. Fan, D. Zhang, J. Zhu, Y. Wang, B. Du and Y. Yan, Chemistry, 2013, 19, 4742–4747 CrossRef CAS PubMed.
  80. Y. Sun and Z. Guo, Nanoscale Horiz., 2019, 4, 52–76 RSC.
  81. J. Liu, K. Zhang, H. Wang, L. Lin, J. Zhang, P. Li, Q. Zhang, J. Shi and H. Cui, Polymers, 2022, 14 CAS.
  82. D. Liu, T. Zhang, Y. Guo, Y. Liao, Z. Wu, H. Jiang and Y. Lu, ACS Appl. Bio Mater., 2022, 5, 5933–5942 CrossRef CAS PubMed.
  83. W. Yang, J. Li, Z. Xu, J. Yang, Y. Liu and L. Liu, J. Mater. Chem. C, 2019, 7, 10297–10308 RSC.
  84. S. Tottori, L. Zhang, F. Qiu, K. K. Krawczyk, A. Franco-Obregon and B. J. Nelson, Adv. Mater., 2012, 24, 811–816 CrossRef CAS PubMed.
  85. M. Zhou, Y. Xing, X. Li, X. Du, T. Xu and X. Zhang, Small, 2020, 16, e2003834 CrossRef PubMed.
  86. J. Zhao, Q. Shao, S. Ge, J. Zhang, J. Lin, D. Cao, S. Wu, M. Dong and Z. Guo, Chem. Rec., 2020, 20, 710–729 CrossRef CAS PubMed.
  87. T. Chen, H. Zhao, Y. Zheng, Y. Cai, B. Ren and R. Dong, Chem. Eng. J., 2022, 439 Search PubMed.
  88. S.-J. Song, C. C. Mayorga-Martinez, D. Huska and M. Pumera, NPG Asia Mater., 2022, 14 CAS.
  89. D. Huska, C. C. Mayorga-Martinez, R. Zelinka and M. Pumera, Small, 2022, 18, e2200208 CrossRef PubMed.
  90. Y. Han, Y. Lyu, N. Xing, X. Zhang, K. Hu, H. Luo, D. H. L. Ng and J. Li, J. Mater. Chem. C, 2022, 10, 15524–15531 RSC.
  91. J. Li, F. Ji, D. H. L. Ng, J. Liu, X. Bing and P. Wang, Chem. Eng. J., 2019, 369, 611–620 CrossRef CAS.
  92. M. Sun, X. Fan, X. Meng, J. Song, W. Chen, L. Sun and H. Xie, Nanoscale, 2019, 11, 18382–18392 RSC.
  93. M. Sun, K. F. Chan, Z. Zhang, L. Wang, Q. Wang, S. Yang, S. M. Chan, P. W. Y. Chiu, J. J. Y. Sung and L. Zhang, Adv. Mater., 2022, 34, e2201888 CrossRef PubMed.
  94. L. Song, J. Cai, S. Zhang, B. Liu, Y.-D. Zhao and W. Chen, Sens. Actuators, B, 2022, 358 Search PubMed.
  95. L. B. Song, S. J. Zhang, Q. M. Wang, W. Chen, B. Liu and Y. D. Zhao, Chem. Eng. J., 2022, 435 Search PubMed.
  96. C. C. Mayorga-Martinez, M. Fojtů, J. Vyskočil, N. J. Cho and M. Pumera, Adv. Funct. Mater., 2022, 32(46), 2207272 CrossRef CAS.
  97. M. Sun, W. Chen, X. Fan, C. Tian, L. Sun and H. Xie, Appl. Mater. Today, 2020, 20 Search PubMed.
  98. M. Sun, Q. Liu, X. Fan, Y. Wang, W. Chen, C. Tian, L. Sun and H. Xie, Small, 2020, 16, e1906701 CrossRef PubMed.
  99. Q. Wang, S. Jermyn, D. Quashie, Jr., S. E. Gatti, J. Katuri and J. Ali, RSC Adv., 2023, 13, 30951–30958 RSC.
  100. V. Magdanz, I. S. M. Khalil, J. Simmchen, G. P. Furtado, S. Mohanty, J. Gebauer, H. Xu, A. Klingner, A. Aziz, M. Medina-Sanchez, O. G. Schmidt and S. Misra, Sci. Adv., 2020, 6, eaba5855 CrossRef CAS PubMed.
  101. K. Middelhoek, V. Magdanz, L. Abelmann and I. S. M. Khalil, Biomed. Mater., 2022, 17 Search PubMed.
  102. F. Striggow, C. Ribeiro, A. Aziz, R. Nauber, F. Hebenstreit, O. G. Schmidt and M. Medina-Sanchez, Small, 2023, e2310288,  DOI:10.1002/smll.202310288.
  103. H. Xu, M. Medina-Sanchez, W. Zhang, M. P. H. Seaton, D. R. Brison, R. J. Edmondson, S. S. Taylor, L. Nelson, K. Zeng, S. Bagley, C. Ribeiro, L. P. Restrepo, E. Lucena, C. K. Schmidt and O. G. Schmidt, Nanoscale, 2020, 12, 20467–20481 RSC.
  104. C. Chen, X. Chang, P. Angsantikul, J. Li, B. Esteban-Fernández de Ávila, E. Karshalev, W. Liu, F. Mou, S. He, R. Castillo, Y. Liang, J. Guan, L. Zhang and J. Wang, Adv. Biosyst., 2017, 2 Search PubMed.
  105. C. C. Mayorga-Martinez, J. Zelenka, J. Grmela, H. Michalkova, T. Ruml, J. Mares and M. Pumera, Adv. Sci., 2021, 8, e2101301 CrossRef PubMed.
  106. L. Xu, D. Gong, N. Celi, J. Xu, D. Zhang and J. Cai, Appl. Surf. Sci., 2022, 579 Search PubMed.
  107. D. Gong, Y. Li, H. Zhou, B. Gu, N. Celi, D. Zhang and J. Cai, Appl. Mater. Today, 2023, 35 Search PubMed.
  108. B. Gu, J. Cai, G. Peng, H. Zhou, W. Zhang, D. Zhang and D. Gong, Colloids Surf., A, 2024, 685 Search PubMed.
  109. De Gong, N. Celi, D. Zhang and J. Cai, ACS Appl. Mater. Interfaces, 2022, 14, 6320–6330 CrossRef CAS PubMed.
  110. X. Peng, M. Urso, M. Kolackova, D. Huska and M. Pumera, Adv. Funct. Mater., 2024, 34 Search PubMed.
  111. De Gong, B. Li, N. Celi, J. Cai and D. Zhang, ACS Appl. Mater. Interfaces, 2021, 13(44), 53131–53142 CrossRef CAS PubMed.
  112. D. Gong, N. Celi, L. Xu, D. Zhang and J. Cai, Mater. Today Chem., 2022, 23 Search PubMed.
  113. L. Xie, X. Pang, X. Yan, Q. Dai, H. Lin, J. Ye, Y. Cheng, Q. Zhao, X. Ma, X. Zhang, G. Liu and X. Chen, ACS Nano, 2020, 14, 2880–2893 CrossRef CAS PubMed.
  114. C. Zheng, Z. Li, T. Xu, L. Chen, F. Fang, D. Wang, P. Dai, Q. Wang, X. Wu and X. Yan, Appl. Mater. Today, 2021, 22 Search PubMed.
  115. A. Terzopoulou, M. Palacios-Corella, C. Franco, S. Sevim, T. Dysli, F. Mushtaq, M. Romero-Angel, C. Martí-Gastaldo, D. Gong, J. Cai, X. Z. Chen, M. Pumera, A. J. DeMello, B. J. Nelson, S. Pané and J. Puigmartí-Luis, Adv. Funct. Mater., 2021, 32 Search PubMed.
  116. V. de la Asuncion-Nadal, C. Franco, A. Veciana, S. Ning, A. Terzopoulou, S. Sevim, X. Z. Chen Gong, J. Cai, P. D. Wendel-Garcia, B. Jurado-Sanchez, A. Escarpa, J. Puigmarti-Luis and S. Pane, Small, 2022, e2203821,  DOI:10.1002/smll.202203821.
  117. L. Liu, J. Wu, S. Wang, L. Kun, J. Gao, B. Chen, Y. Ye, F. Wang, F. Tong, J. Jiang, J. Ou, D. A. Wilson, Y. Tu and F. Peng, Nano Lett., 2021, 21, 3518–3526 CrossRef CAS PubMed.
  118. D. Zhong, W. Li, Y. Qi, J. He and M. Zhou, Adv. Funct. Mater., 2020, 30 Search PubMed.
  119. X. Yan, Q. Zhou, M. Vincent, Y. Deng, J. Yu, J. Xu, T. Xu, T. Tang, L. Bian, Y. J. Wang, K. Kostarelos and L. Zhang, Sci. Robot., 2017, 2 Search PubMed.
  120. F. Zhang, Z. Li, Y. Duan, H. Luan, L. Yin, Z. Guo, C. Chen, M. Xu, W. Gao, R. H. Fang, L. Zhang and J. Wang, Sci. Adv., 2022, 8, eade6455 CrossRef CAS PubMed.
  121. F. Zhang, J. Zhuang, Z. Li, H. Gong, B. E. de Avila, Y. Duan, Q. Zhang, J. Zhou, L. Yin, E. Karshalev, W. Gao, V. Nizet, R. H. Fang, L. Zhang and J. Wang, Nat. Mater., 2022, 21, 1324–1332 CrossRef CAS PubMed.
  122. I. S. Shchelik, J. V. D. Molino and K. Gademann, Acta Biomater., 2021, 136, 99–110 CrossRef CAS PubMed.
  123. M. B. Akolpoglu, N. O. Dogan, U. Bozuyuk, H. Ceylan, S. Kizilel and M. Sitti, Adv. Sci., 2020, 7, 2001256 CrossRef CAS PubMed.
  124. T. Pan, Y. Shi, N. Zhao, J. Xiong, Y. Xiao, H. Xin and B. Li, Adv. Funct. Mater., 2021, 32 Search PubMed.
  125. X. J. Teng, W. M. Ng, W. H. Chong, D. J. C. Chan, R. Mohamud, B. S. Ooi, C. Guo, C. Z. Liu and J. Lim, Langmuir, 2021, 37, 9192–9201 CrossRef CAS PubMed.
  126. H. Choi, B. Kim, S. H. Jeong, T. Y. Kim, D. P. Kim, Y. K. Oh and S. K. Hahn, Small, 2023, 19, e2204617 CrossRef PubMed.
  127. T. Studer, D. Morina, I. S. Shchelik and K. Gademann, Chemistry, 2023, 29, e202203913 CrossRef CAS PubMed.
  128. F. Zhang, Z. Li, L. Yin, Q. Zhang, N. Askarinam, R. Mundaca-Uribe, F. Tehrani, E. Karshalev, W. Gao, L. Zhang and J. Wang, J. Am. Chem. Soc., 2021, 143, 12194–12201 CrossRef CAS PubMed.
  129. J. Xiong, X. Li, Z. He, Y. Shi, T. Pan, G. Zhu, D. Lu and H. Xin, Light: Sci. Appl., 2024, 13, 55 CrossRef CAS PubMed.
  130. M. Li, J. Wu, D. Lin, J. Yang, N. Jiao, Y. Wang and L. Liu, Acta Biomater., 2022, 154, 443–453 CrossRef CAS PubMed.
  131. J. Wang, F. Soto, S. Q. Liu, Q. Q. Yin, E. Purcell, Y. T. Zeng, E. C. Hsu, D. Akin, B. Sinclair, T. Stoyanova and U. Demirci, Adv. Funct. Mater., 2022, 32 Search PubMed.
  132. Y. Li, S. Tang, Z. Cong, D. Lu, Q. Yang, Q. Chen, X. Zhang and S. Wu, Mater. Today Chem., 2022, 23 Search PubMed.
  133. A. V. Singh, Z. Hosseinidoust, B. W. Park, O. Yasa and M. Sitti, ACS Nano, 2017, 11, 9759–9769 CrossRef CAS PubMed.
  134. B. Mostaghaci, O. Yasa, J. Zhuang and M. Sitti, Adv. Sci., 2017, 4, 1700058 CrossRef PubMed.
  135. M. B. Akolpoglu, Y. Alapan, N. O. Dogan, S. F. Baltaci, O. Yasa, G. Aybar Tural and M. Sitti, Sci. Adv., 2022, 8, eabo6163 CrossRef CAS PubMed.
  136. B. W. Park, J. Zhuang, O. Yasa and M. Sitti, ACS Nano, 2017, 11, 8910–8923 CrossRef CAS PubMed.
  137. Z. Sun, P. F. Popp, C. Loderer and A. Revilla-Guarinos, Sensors, 2019, 20 CAS.
  138. J. Zhuang, R. Wright Carlsen and M. Sitti, Sci. Rep., 2015, 5, 11403 CrossRef PubMed.
  139. Y. Zhang, L. Zhang, L. Yang, C. I. Vong, K. F. Chan, W. K. K. Wu, T. N. Y. Kwong, N. W. S. Lo, M. Ip, S. H. Wong, J. J. Y. Sung, P. W. Y. Chiu and L. Zhang, Sci. Adv., 2019, 5 Search PubMed.
  140. L. Yang, Y. Zhang, Q. Wang, K.-F. Chan and L. Zhang, IEEE Trans. Auto. Sci. Eng., 2020, 17, 490–501 Search PubMed.
  141. Y. Zhang, K. Yan, F. Ji and L. Zhang, Adv. Funct. Mater., 2018, 28 Search PubMed.
  142. X. Wei, M. Beltran-Gastelum, E. Karshalev, B. Esteban-Fernandez de Avila, J. Zhou, D. Ran, P. Angsantikul, R. H. Fang, J. Wang and L. Zhang, Nano Lett., 2019, 19, 1914–1921 CrossRef CAS PubMed.
  143. E. Karshalev, B. Esteban-Fernandez de Avila, M. Beltran-Gastelum, P. Angsantikul, S. Tang, R. Mundaca-Uribe, F. Zhang, J. Zhao, L. Zhang and J. Wang, ACS Nano, 2018, 12, 8397–8405 CrossRef CAS PubMed.
  144. J. Wang, R. Dong, H. Wu, Y. Cai and B. Ren, Nanomicro Lett., 2019, 12, 11 Search PubMed.
  145. S. Wang, W. X. Ren, J. T. Hou, M. Won, J. An, X. Chen, J. Shu and J. S. Kim, Chem. Soc. Rev., 2021, 50, 8887–8902 RSC.
  146. C. H. Park, H. Yun, H. Yang, J. Lee and B. J. Kim, Adv. Funct. Mater., 2017, 27 Search PubMed.
  147. T. L. Lefebvre, E. Brown, L. Hacker, T. Else, M. E. Oraiopoulou, M. R. Tomaszewski, R. Jena and S. E. Bohndiek, Front. Oncol., 2022, 12, 803777 CrossRef CAS PubMed.
  148. A. Khalil, M. Majlath, V. Gounant, A. Hess, J. P. Laissy and M. P. Debray, Diagn. Interv. Imaging, 2016, 97, 991–1002 CrossRef CAS PubMed.
  149. M. Chen, L. Sun, Z. Hong, H. Wang, Y. Xia, S. Liu, X. Ren, X. Zhang, D. Chi, H. Yang and W. Hu, ACS Appl. Mater. Interfaces, 2022, 14, 41275–41282 CrossRef CAS PubMed.
  150. C. Jin, X. Luo, X. Li, R. Zhou, Y. Zhong, Z. Xu, C. Cui, X. Xing, H. Zhang and M. Tian, Cancer, 2022, 128, 2704–2716 CrossRef PubMed.
  151. C. Gao, Y. Wang, Z. Ye, Z. Lin, X. Ma and Q. He, Adv. Mater., 2021, 33, e2000512 CrossRef PubMed.
  152. A. Aziz, J. Holthof, S. Meyer, O. G. Schmidt and M. Medina-Sanchez, Adv. Healthcare Mater., 2021, 10, e2101077 CrossRef PubMed.
  153. B. Wang, K. F. Chan, K. Yuan, Q. Wang, X. Xia, L. Yang, H. Ko, Y. J. Wang, J. J. Y. Sung, P. W. Y. Chiu and L. Zhang, Sci. Robot., 2021, 6 Search PubMed.
  154. M. B. Kulkarni, N. H. Ayachit and T. M. Aminabhavi, Biosensors, 2022, 12 Search PubMed.
  155. H. Li, F. Peng, X. Yan, C. Mao, X. Ma, D. A. Wilson, Q. He and Y. Tu, Acta Pharm. Sin. B, 2022, 13(2), 517–541 CrossRef PubMed.
  156. X. Liu, J. Huang, Y. Li, Y. Zhang and B. Li, Nanophotonics, 2017, 6, 309–316 CrossRef CAS.
  157. Y. Li, X. Liu, X. Xu, H. Xin, Y. Zhang and B. Li, Adv. Funct. Mater., 2019, 29 Search PubMed.
  158. Q. Xin, H. Shah, A. Nawaz, W. Xie, M. Z. Akram, A. Batool, L. Tian, S. U. Jan, R. Boddula, B. Guo, Q. Liu and J. R. Gong, Adv. Mater., 2019, 31, e1804838 CrossRef PubMed.
  159. E. Ren, C. Zhang, D. Li, X. Pang and G. Liu, View, 2020, 1 Search PubMed.
  160. F. Soto, M. A. Lopez-Ramirez, I. Jeerapan, B. Esteban-Fernandez de Avila, R. K. Mishra, X. Lu, I. Chai, C. Chen, D. Kupor, A. Nourhani and J. Wang, Adv. Funct. Mater., 2019, 29 Search PubMed.
  161. G. Volpe, I. Buttinoni, D. Vogt, H.-J. Kümmerer and C. Bechinger, Soft Matter, 2011, 7 Search PubMed.
  162. C. Yang, Z. Chen, M. Wei, S. Hu, M. Cai, N. Wang, Y. Guan, F. Li, Q. Ding and D. Ling, J. Controlled Release, 2023, 357, 20–30 CrossRef CAS PubMed.
  163. H. Xu, M. Medina-Sanchez, V. Magdanz, L. Schwarz, F. Hebenstreit and O. G. Schmidt, ACS Nano, 2018, 12, 327–337 CrossRef CAS PubMed.
  164. F. Zhang, J. Zhuang, Z. Li, H. Gong, B. E. de Avila, Y. Duan, Q. Zhang, J. Zhou, L. Yin, E. Karshalev, W. Gao, V. Nizet, R. H. Fang, L. Zhang and J. Wang, Nat. Mater., 2022, 21, 1324–1332 CrossRef CAS PubMed.
  165. Y. Hu, W. Liu and Y. Sun, Adv. Funct. Mater., 2022, 32(10), 2109181 CrossRef CAS.
  166. E. Karshalev, B. Esteban-Fernandez de Avila and J. Wang, J. Am. Chem. Soc., 2018, 140, 3810–3820 CrossRef CAS PubMed.
  167. F. Mushtaq, X. Chen, S. Staufert, H. Torlakcik, X. Wang, M. Hoop, A. Gerber, X. Li, J. Cai, B. J. Nelson and S. Pané, J. Mater. Chem. A, 2019, 7, 24847–24856 RSC.
  168. M. Jaishankar, T. Tseten, N. Anbalagan, B. B. Mathew and K. N. Beeregowda, Interdiscip. Toxicol., 2014, 7, 60–72 CrossRef PubMed.
  169. V. K. Gupta, A. Nayak and S. Agarwal, Environ. Eng. Res., 2015, 20, 1–18 CrossRef.
  170. B. Saha and C. Orvig, Coord. Chem. Rev., 2010, 254, 2959–2972 CrossRef CAS.
  171. C.-y Wang, K. Jiao, J.-f Yan, M.-c Wan, Q.-q Wan, L. Breschi, J.-h Chen, F. R. Tay and L.-n Niu, Prog. Mater. Sci., 2021, 116 Search PubMed.
  172. Y. Liu, P. Wang, B. Gojenko, J. Yu, L. Wei, D. Luo and T. Xiao, Environ. Pollut., 2021, 291, 118209 CrossRef CAS PubMed.
  173. R. W. Chia, J.-Y. Lee, H. Kim and J. Jang, Environ. Chem. Lett., 2021, 19, 4211–4224 CrossRef CAS.
  174. E. M. John and J. M. Shaike, Environ. Chem. Lett., 2015, 13, 269–291 CrossRef CAS.
  175. D. Xu and H. Ma, J. Cleaner Prod., 2021, 313 Search PubMed.
  176. N. Yousefi, X. Lu, M. Elimelech and N. Tufenkji, Nat. Nanotechnol., 2019, 14, 107–119 CrossRef CAS PubMed.

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