Open Access Article
This Open Access Article is licensed under a Creative Commons Attribution-Non Commercial 3.0 Unported Licence

Recent progress and challenges of MOF-based nanocomposites in bioimaging, biosensing and biocarriers for drug delivery

Ngoan Thi Thao Nguyen abc, Thuy Thi Thanh Nguyen d, Shengbo Ge e, Rock Keey Liew fg, Duyen Thi Cam Nguyen *a and Thuan Van Tran *a
aInstitute of Applied Technology and Sustainable Development, Nguyen Tat Thanh University, 298-300A Nguyen Tat Thanh, District 4, Ho Chi Minh City 755414, Vietnam. E-mail: ntcduyen@ntt.edu.vn; tranuv@gmail.com; tranvt@ntt.edu.vn
bFaculty of Chemical Engineering, Ho Chi Minh City University of Technology (HCMUT), 268 Ly Thuong Kiet Street, District 10, Ho Chi Minh City, Vietnam
cVietnam National University Ho Chi Minh City, Linh Trung Ward, Thu Duc District, Ho Chi Minh City, Vietnam
dDepartment of Chemical Engineering and Processing, Nong Lam University, Thu Duc District, Ho Chi Minh City 700000, Vietnam
eCo-Innovation Center of Efficient Processing and Utilization of Forest Resources, College of Materials Science and Engineering, Nanjing Forestry University, Nanjing, 210037, China
fHigher Institution Centre of Excellence (HICoE), Institute of Tropical Aquaculture and Fisheries (AKUATROP), Universiti Malaysia Terengganu, 21030, Kuala Nerus, Terengganu, Malaysia
gNV Western PLT, No. 208B, Second Floor, Macalister Road, Georgetown, 10400, Penang, Malaysia

Received 3rd December 2023 , Accepted 24th January 2024

First published on 6th March 2024


Abstract

Metal–organic frameworks (MOFs), a burgeoning class of coordination polymers, have garnered significant attention due to their outstanding structure, porosity, and stability. They have been extensively studied in catalysis, energy storage, water harvesting, selective gas separation, and electrochemical applications. Recent advancements in post-synthetic strategies, surface functionality, and biocompatibility have expanded the application scope of MOFs, particularly in various biomedical fields. Herein, we review MOF-based nanomaterials bioimaging nanoplatforms in magnetic resonance imaging, computed tomography, and fluorescence imaging. MOFs serve as the foundation for biosensors, demonstrating efficiency in sensing H2O2, tumor biomarkers, microRNA, and living cancer cells. MOF-based carriers are well designed in drug delivery systems and anticancer treatment therapies. Additionally, we examine the challenges and prospects of MOFs in surface modification, release of metal ions, and interaction with intracellular components, as well as their toxicity and long-term effects.


1. Introduction

The biomedical field has long been a priority, driven by the ongoing interest in health information and the advancement of healthcare.1 It is crucial for new technologies to continuously evolve in response to the persistent threats posed by human diseases. Therapeutic agents face common limitations, including low bioavailability, severe adverse effects, and rapid elimination from the body.2 This has prompted the material technologies to exploit and apply solutions within the realms of disease treatment and diagnosis. Over the past two decades, the biomedical materials sector has rapidly progressed, offering remedies for defect repair, deformity correction, tissue replacement, and efficient therapeutic delivery.3 Such a trend has notably contributed to an increased average life expectancy in developed countries.

When delving into materials technology for biomedical applications, researchers have developed an array of nanoparticles using diverse synthetic platforms.4–6 These nanoparticles, owing to their minute size and heightened sensitivity, serve as valuable contrast agents.7 Moreover, they can be harnessed for coupling with targeting ligands or in combination with functional agents, making them apt for bioimaging applications.8 Notably, various forms of nanoparticles—polymeric nanoparticles, polymeric micelles, magnetic nanoparticles, liposomes, and dendrimers—have been successfully created.9 Some studies even showcase their direct efficacy in eradicating cancer cells or exhibiting antibacterial and anti-inflammatory properties.10–12 However, nanomaterials come with limitations pertaining to toxicity, biological stability, drug loading capacity, and other characteristics, inhibiting their transformation into radical materials for multifunctional and intricate therapeutic applications. In this context, metal–organic frameworks (MOFs) emerge as a novel class of porous materials composed of metal-containing nodes and organic bonding.13 Since their inception, MOFs created through the amalgamation of metal ions or clusters with organic bonds have garnered immense attention.14 Typical cage-like MOFs boast numerous recurring bonds facilitated by metal ions serving as binding nodes alongside organic ligands. Metal ions (e.g., Zn, Ca, Zr, Mg, and Cs) are often used together with organic linkages such as phosphonates, carboxylates, and sulfonates to form MOFs.15 They exhibit versatility as gas storage,16 purification17 and separation platforms, porous photocatalysts,18 cargo delivery systems,19 sensors,20 and energy-related applications like supercapacitors and energy converters.21 Due to their remarkable capability to modulate the structure and function, MOFs stand out as one of the fastest-expanding fields within biomedical materials technology.23–25

The properties of MOFs, such as high porosity, a large surface area, ample pore size, biocompatibility, and ease of post-synthesis modification, render them promising alternatives in biomedicine.26 Positive agents can be introduced into MOFs through two primary methods: integrating functional agents into the framework or loading them into the pores.27 MOFs offer flexibility in leveraging both metal clusters and their ligands for diagnostic imaging and disease treatment. For example, Kong et al.28 synthesized the green-emitting BUT-88 material generated from a suitable luminescent tetra-carbazolyl octa-carboxylate ligand, demonstrating its application in the fluorescence diagnostic technique for detecting microRNA-21. Similarly, Chakraborty et al.29 utilized a tetradentate phosphonate ligand to synthesize Cu-MOF, which acted as a fluorescent agent to enhance cancer therapy through light irradiation.

With the advancement of synthesis processes and the development of new technologies, there is a demand for designing and manufacturing MOFs with controlled and enhanced structural properties, including pore size, particle diameter, and pore volume.30 Various methods have been employed for synthesizing MOFs, including hydrogen/solvothermal synthesis,31,32 microwave and ultrasonic assisted synthesis,33,34 mechanochemical synthesis,35 electrochemical synthesis,36 spray drying synthesis,37 and solvent evaporation.38 However, these approaches pose challenges related to production scale, synthesis efficiency, and physicochemical quality, among others. Among these methods, the hydrothermal approach stands out as particularly popular due to its ease of preparation and straightforward synthesis.39 For example, Hao et al.40 utilized the hydrothermal method to synthesize the MWCNT/Ni–Mn–S material at high temperature and pressure, tailored for electrochemical energy storage applications. The resulting material demonstrated high specific capacitance and excellent cycling stability. Additionally, the solvothermal method has gained significant traction in numerous studies. Similar to the hydrothermal technique, it operates within a closed environment at high temperature and pressure but uses a solution devoid of water.41 In the photocatalytic study, Shi et al.42 developed ZnFe-MOF composites by incorporating Bi3+ through a solvothermal process. The optimal BiOBr@ZnFe-MOF showed high removal efficiency for tetracycline and rhodamine B under visible light. However, these methods often demand extended reaction times, organic solvents, and harsh conditions like high temperatures and pressures, making them energy-intensive and unsuitable for large-scale production. Alternatively, microwave-assisted synthesis has emerged as a promising approach to enhance MOF production, increasing pore volume and ensuring uniform size distribution while reducing synthesis time. This method offers accelerated reaction speed, higher yield, greater selectivity, and cost-effectiveness for synthesizing various MOFs.43 Consequently, many studies have shifted from conventional heating to microwave-assisted methods.44 Indeed, Bazzi et al.45 employed ultrasonic and microwave methods to synthesize the ZIF-8 material for phosphate adsorption. They demonstrated the conversion of zinc oxide to ZIF-8 under microwave and ultrasonic irradiation using different solvent mixtures such as dimethylformamide/water, methanol/water, and water. Synthetic MOFs have exhibited remarkable adsorption potential, paving the way for developing MOFs from sustainable inorganic sources through microwave-assisted synthesis. Additionally, methods like spray drying, electrochemical processes, or solvent evaporation prove effectiveness in synthesizing MOFs for drug delivery applications. Overall, understanding the impact of particle size, morphology, and functionality on the intended use of MOFs is crucial to identify the most suitable synthesis method for biomedical applications.

In the realm of biomedical applications, several challenges of MOFs require focused attention, notably the precise control of particle size and porosity alongside understanding their metabolic behavior in vivo. Biocompatibility and effective binding capacity for cargo loading are crucial considerations.46 Diverse surface functionalization strategies hold promise in enhancing MOFs for physiological stability, controlled cargo release, and specific target recognition.47 These strategies aim to bolster catalytic reactivity and extend circulation within the body, minimizing immune reactions or premature elimination. The properties of the developed MOF can have two modes of functionalization: by using a combination of organic compounds and metal-containing nodes or by functionalizing the surface post-synthesis.48 Usually, the post-synthetic functionalization method is used to easily add other functional compounds to MOFs. Post-synthetic functionalization is commonly favored as it allows for easy addition of other functional compounds to MOFs. Compounds employed for surface functionalization, capable of conjugating to organic ligand groups through covalent or strong coordination, include –COOH, –NH2, –N3, etc., as well as metal nodes on the surface of MOFs. For instance, Liu et al.49 conducted a synthesis of the Ni-MOF material for the development of a luminescent detector targeting aspartic acid. To leverage the high porosity of the MOF, they introduced photoactive Eu3+ ions using a simple embedding method, resulting in Eu3+ functionalized MOFs. To enhance physiological stability and diminish immunoreactivity, MOFs are functionalized with polymer like liposomes and polyethylene glycol. Gupta et al.50 explored the synthesis of UiO-66 coated with a biocompatible polyethylene glycol layer, noting that UiO-66/polyethylene glycol extended drug release duration. Moreover, in biomedical applications, MOFs consistently demonstrate significant potential due to their adaptability for modification and functionalization, which enhances application efficiency. Functionalized MOFs commonly exhibit improved outcomes compared to non-functionalized counterparts. Indeed, Paiman et al.51 synthesized Fe-MOF and functionalized the amine using different organic linkages of 2-aminoterephthalic acid. The functionalization demonstrated a remarkable effect: the amine-Fe-MOF exhibited a two-fold higher adsorption capacity despite being loaded at half the quantity compared to the non-functionalized Fe-MOF.

Recent studies have extensively explored synthesis strategies and potential applications of MOFs in biomedicine. However, the existing reviews only covered several selected aspects, leaving many unaddressed categories. For example, Moharramnejad et al.52 discussed modifying MOFs for biomedical technologies like drug delivery but did not delve into other potential applications. In another study, Xu et al.53 demonstrated the biomedical potential of MOFs in therapeutic pathways without exploring disease diagnosis thoroughly. Similarly, Fatima et al.54 mentioned various stimuli-responsive MOFs for targeted drug delivery but many promising biomedical applications were not encompassed. Motivated by these gaps, here, we present a comprehensive review focusing on MOFs in early disease diagnosis, specifically in sensing and bio-imaging pathways. Furthermore, we clarify the role of MOFs in drug transport via blood, oral routes, skin, and eyes. Through detailed examinations, the significant contributions of MOFs in advancing biomedical technology are highlighted.

The graphical representation in Fig. 1a demonstrates the interconnections among keywords like metal–organic framework, biomedical applications, drug carrier, controlled drug delivery, drug effect, animals, diagnostic imaging, etc., highlighting their strongest linkages. The trend over a 10-year period between 2012 and 2022 in Fig. 1b shows an increasing research interest in the field of metal–organic frameworks for biomedical applications. In 2012, there were merely five publications on this topic, but by 2021, this number peaked at 199 studies. The total citation counts also surged from 875 in 2012 to an impressive 10[thin space (1/6-em)]837 citations by 2022. This growth signifies a widespread dissemination of knowledge and a profound surge in interest regarding the biomedical applications of MOF-based materials in recent years.


image file: d3na01075a-f1.tif
Fig. 1 A bibliometric analysis using VOSviewer software (a) and the number of publications reported on MOFs (b). Data retrieved from Scopus with keywords as “metal–organic framework” and “biomedical” between 2012 and 2022. Bibliometric pattern.

2. MOF-based bioimaging nanoplatforms

2.1. Magnetic resonance imaging

MOFs have emerged as potential candidates for biomedical applications, particularly as novel magnetic resonance imaging (MRI) contrast agents. The technique of MRI, due to its contrast mechanisms, has become a highly adaptable imaging modality in routine clinical assessments.55 Considering the human body consisting of approximately 70% water, leveraging the magnetism of hydrogen atoms with water in the body enables the recording of distinct water distribution in tissues. Pathological injuries often cause alterations in water distribution at the injury site compared to normal tissue, facilitating the identification and detection of tumors and diseases.56 MRI relies on the interaction between an external magnetic field and hydrogen atoms within soft tissues, providing high spatial resolution images.57 The image signal depends on the longitudinal (T1) and transverse (T2) relaxation rates of water protons, represented inversely as the relaxation rates R1 and R2 along vertical and horizontal axes.58 Recent advancements involve the use of various MOFs containing Mn, Gd, Fe, and their derivatives to develop high-resolution MRI effects as contrast agents. These MOFs can serve as carriers for MRI contrast agents such as gadolinium, iron platinum, and iodine-containing contrast materials for bioimaging applications.59 The appeal of MOF materials in MRI is their versatility, attributed to their composition of metal ions, large pore width, and expansive surface area, enabling multifaceted applications (Fig. 2a). Firstly, MOFs effectively and safely deliver in vivo contrast agents or utilize metal ions within their framework. Secondly, they load photosensitizers for simultaneous applications in photoacoustic and photothermal imaging. Thirdly, MOFs act as drug carriers for both diagnosis and targeted drug release. Consequently, MOFs have demonstrated their potential, convenience, and versatility in imaging techniques and cancer treatments.
image file: d3na01075a-f2.tif
Fig. 2 (a) Detailed synthesis of MOFs from Zr4+ and benzene-1,4-dicarboxylic acid by a solvothermal method and post-synthesis modification by loading indocyanine green. Reproduced from ref. 63 with permission from Wiley-VCH Verlag, copyright 2020. (b) Tumor computed tomography images of mice after intravenous injection of the material at different time intervals (2, 6, 12, 24, and 72 h) are denoted by a green dashed ellipse. Computed tomography value (HU) of the material after each time interval. Reproduced from ref. 64 with permission from Dove Medical Press Ltd, copyright 2020. (c) Fluorescence images of 4T1 tumor-bearing mice injected with indocyanine green and intracellular acidity-responsive polymeric MOF nanoparticles at different time points, tumors marked with red circles. Reproduced from ref. 65 with permission from Elsevier, copyright 2021. (d) Phototherapy and synergistic treatment based on a single MOF material, Gd-MOF. Specifically, Gd from the MOF can support magnetic resonance imaging and Gd-polydopamine increases pressure waves for photothermal imaging application. In addition, loading chlorine6 onto the MOF surface also supports increased hyperthermal and oxidative damage to photothermal and photothermal therapies. Reproduced from ref. 66 with permission from the Royal Society of Chemistry, copyright 2021. (e) Magnetic resonance images on the coronary plane of 4T1 mice in different stages after injection of MOF-based materials at tumor sites, liver and kidney. Tumors are marked with red circles. Reproduced from ref. 60 with permission from the Royal Society of Chemistry, copyright 2021. Abbreviations: benzene-1,4-dicarboxylic acid, BDC; fluorescence imaging, FL; computed tomography, CT; multi-spectral optoacoustic tomography, MSOT; magnetic resonance imaging, MRI; intracellular acidity-responsive polymeric MOF nanoparticle, DIMP; photothermal therapy, PTT; photodynamic therapy, PDT; indocyanine green, ICG; photoacoustic imaging, PAI; photothermal imaging, PTI; multifunctional Gd-PDA-Ce6@Gd-MOF, GPCG; polydopamine, DPA.

Jia et al.60 synthesized Gd/DTPA/MOF-808/PANI (Gd(III) combined with diethylenetriamine pentaacetate, DTPA, and polyaniline, PANI) for magnetic resonance bioimaging of 4T1 breast cancer cells. The obtained results indicated an R1 elongation of 30.1 mM−1 s−1 (0.5 T). Notably, the R1 value of Magnevist, a commercial contrast agent, was significantly lower than that of MOF-based bioimaging, affirming the potential of MOF materials in diagnostic imaging. Interestingly, Zhu et al.61 showed the synthesis of Fe-DOX@Gd-MOF-ICG (doxorubicin, DOX; indocyanine green, ICG) using Gd3+ as a magnetic resonance imaging contrast agent. They successfully employed photoacoustic and photothermal imaging methods on an imaging platform by loading the indocyanine green photosensitive agent into the MOF. The findings revealed R1 of 6.4 mM−1 s−1 and R2 of 81.9 mM−1 s−1. Based on magnetic resonance imaging diagnosis results, MOFs continued to be used for photoacoustic and photothermal imaging therapy, significantly contributing to MOF-based nano-hybrid materials in MRI, as well as effective photoacoustic and photothermal imaging. In another study, Pandit et al.62 developed Fe3O4@ZIF8@ZIF67@folic acid by decorating ZIF-8@ZIF-67 with Fe3O4 nanoparticles and folic acid to guide precise chemotherapy of MCF-7 breast cancer cells via magnetic resonance imaging. They achieved higher R1 and R2 relaxivity values (2.042 and 85.86 mM−1 s−1) than the study conducted by Zhu et al.61 This enhancement was attributed to the effectiveness of iron oxide doped in MOFs as magnetic support and contrast agents, confirming contrast improvement with increased iron oxide concentration.

2.2. Computed tomography

Computed tomography (CT) is a diagnostic technique utilizing multiple X-rays to scan cross-sectional areas of the body, aiding in disease diagnosis.67 Contrast agents within the body interact with X-rays, generating image signals that render affected lesion structures bright white, distinguishing them from normal tissue. Notably, elements with high atomic numbers (Z) tend to attenuate X-rays, enhancing X-ray irradiance.68 Currently, the use of high X-ray attenuation contrast agents, such as iodine and barium, is restricted due to their rapid clearance rates and high dosage requirements. However, recently discovered MOFs show promise as contrast agents, offering high intensity with minimal drawbacks.

Bao et al.64 recently synthesized Hf/Mn-TCPP-MOF (TCPP, 4,4,4,4-(porphine-5,10,15,20-tetrayl)tetrakis) using Hf4+ clusters and MnH2-TCPP ligands as a contrast agent for computed tomography (CT) imaging. Due to its high X-ray attenuation capacity, Hf (Z = 72) demonstrates the potential for sensitive CT scanning and is being considered as a contrast agent. Reported results indicated that the CT value of the MOF (70 HU) was 1.7 times higher than that of iohexol, a commercial contrast agent, as shown in Fig. 2b. In a study by Ma et al.,69 the NMOF545@Pt synthesized from HfCl4, Mn-TCPP, and H2PtCl6 exhibited a CT value of 110 HU, surpassing the MOF synthesized by Bao et al.64 The higher concentration of Pt (Z = 78) in this study may influence signal enhancement in CT. Additionally, this study highlights NMOF545/Pt as a potential contrast agent for MRI/CT/PAI imaging modalities, showcasing its promising role in diagnostic imaging technology. Similarly, You et al.63 fabricated a MOF-based therapeutic system integrating modalities such as CT, MRI, and FL for precise cancer chemotherapy. These MOFs were constructed using 2-aminoterephthalic acid (NH2-BDC) ligands and Zr4+ metal nodes, modified with Au+ and Pt+. Interestingly, the authors observed that increasing the concentration of Au on the MOF resulted in progressively brighter CT images, showing a notable linear relationship. This improvement is attributed to the presence of octahedral gold nanoshells (Z = 79), significantly enhancing the reflective properties of the MOF materials.

2.3. Fluorescence imaging

Fluorescence imaging (FL) is a non-invasive imaging technique utilized to visualize biological processes within living organisms. Fluorescence, a form of luminescence, is triggered when materials emit light of a specific wavelength after absorbing electromagnetic radiation.70 Molecules exhibiting this light-emitting property upon light absorption are known as fluorophores.71 FL is widely employed due to its high sensitivity, exceptional resolution, and user-friendly operation. MOFs are materials synthesized from ligands and metal frameworks, characterized by their large pore structures. They can efficiently host fluorescent agents for imaging purposes or utilize their own luminescent ligands directly Table 1.
Table 1 Recent progress in MOF-based nanocomposites in bioimaging applications
No. MOFs MOF skeleton components Imaging agent Imaging strategy Application References
1 Au@Fe(BTC)3(H2O)6 Au2+ and Fe(BTC)3 Au MRI, NIR (R2 = 61.57 mM s−1 at 1 T) MDA-MB-23, MCF-7, 5637, RT112 186
2 Gd-DTPA-MOF-808@PANI Zr4+ and DTPA Gd3+ MRI (R1 relaxivity of 30.1 mM−1 s−1 at 0.5 T) HUVEC, 4T1 cells 60
3 MIL-100(Fe) Fe3+ and ammonium thiocyanate MIL-100(Fe) Label for MRI (loading dotarem) 187
R 2 = 4.0 mM−1 s−1 at 1.5 T
4 H2L-MOF Zr4+ and H2L H2L, DOX FLI HeLa 72
5 UiO-66(Zr)-(COOH)2 MOFs Zr4+ and H4BTeC Mn2+, DOX MRI HUVEC, 4T1 cells 188
6 Fe3O4@ZIF8@ZIF67@folic acid Co2+ and 2-MeIM Fe3O4 MRI MCF-7 62
R 1 = 2.042 mM−1 s−1
R 2 = 85.86 mM−1 s−1
7 Fe-DOX@Gd-MOF-ICG Gd3+ and H3BTC Gd3+, DOX MRI/PAI/PTI 4T1 61
R 1 = 6.4 mM−1 s−1 and R2 = 81.9 mM−1 s−1
8 Hf/Mn-TCPP-MOF HfCl4 and MnH2-TCPP fHMNM, Hf6 MRI/PAI/PTT/CT 4T1, HeLa 64
9 Gd-PDA-Ce6@Gd-MOF Gd3+ and H3BTC Gd3+, Ce6 MRI/PAI/PTT/PDT 4T1 66
10 MIL-100(Fe) MIL-100(Fe) PAI/MRI Y79 189
11 Fe3O4@MOF-DOX-CDs-Apt Zr4+ and NH2-BDC Carbon, Fe3O4 FLI MDA-MB-231 190
12 NMOF545@Pt HfCl4 and Mn-TCPP Pt, hafnium, Mn CT/MRI/PAI 4T1 69
13 DOX-Gd-TCPP Gd3+ and TCPP DOX, Gd3+ MRI/FL 4T1 73
14 MOF@ICG@DOX Zn2+ and 2-methylimidazole Indocyanine green PA/IR/FL 4T1 65
15 ICG-PtMGs@HGd Zr4+ and NH2-BDC Au, indocyanine green FL/CT/MSOT/MRI 4T1 63
16 Gd-DTPA@ZIF-8 Gd3+ and 2-methylimidazole ZIF-8, Gd3+ MRI HUVEC, 4T1 cells 191


For example, Wang et al.72 utilized Zr4+ and H2L as organic ligands to create MOFs with near-infrared fluorescence properties capable of producing singlet oxygen. The study focused on detecting liver tumors in mice by injecting MOFs into the body and observing the resulting fluorescence images. Areas exhibiting high intensity in red indicated mouse tumors, which persisted for up to 72 h post-injection. Additionally, MOFs functioned as carriers for fluorescent compounds, such as the commonly used contrast agent in FL imaging, indocyanine green. Indeed, Zhang et al.65 reported MOF@ICG@DOX, derived from Zn2+ and 2-methylimidazole, with ICG loaded into MOF pores for PTT and FL imaging. As observed, the fluorescent material primarily concentrated at the tumor site 12 h post-injection and gradually spread throughout the body after 24 h as shown in Fig. 2c. However, the means of eliminating MOFs carrying ICG from the body, likely through urine after 24 h, was not addressed. Further research is necessary to understand the fate of MOFs post their function in the body and the elimination mechanism to ensure safety. In another instance, Yuan et al.73 proposed a fluorescent probe, DOX-Gd-TCPP-MOF, for diagnosing 4T1 cells. The DOX-loaded MOF demonstrated potential for anti-tumor therapy and fluorescence treatment in FL imaging. Recent studies have also showcased the potential to construct efficient and rapid MOF-based multimodal imaging platforms for in vivo tumor imaging (Table 2). These advancements underscore MOFs as a versatile material for future testing and diagnostic engineering in various applications.

Table 2 Recent progress in MOF-based biosensors
No. MOFs MOF components Targeting Detection method Detection range Limit of detection References
1 Cr-MOF@CoPc Cr3+ and H2BDC CT26 cells EIS 50–1.0 × 107 cells mL−1 31 cells mL−1 78
2 MOF Bi-TCBPE Bi3+ and H4TCBPE Fe3+ in serum Fluorescence 0–25 μM 1 μM 192
3 BODIPY@Eu-MOF Eu3+ and BBDC F, H2O2 and glucose (from HeLa cells) Fluorescence F: 0–30 μM, H2O2: 0–6 μM F: 0.1737 μM, H2O2: 0.0062 μM 83
Glucose: 0–6 μM Glucose: 6.92 nM
4 MOF-derived N-doped porous carbon Mg2+ and PVP Acetylcholinesterase (cholinesterase cause Alzheimer and Parkinson) Colorimetric assay 0–5 U L 0.0001 U L−1 86
5 Zn-MOF/GO Zn2+ and TCPP p53 antibody Combined p53 antigens 0.1 fg mL−1–0.01 ng mL−1 0.03 fg mL−1 193
6 Graphdiyne/Ru@MOF@NCNDs-Ru Zn2+ and 2-NH2-BDC CA19-9 (tumor marker) ECL 0.0005–200 U mL−1 0.00013 U mL−1 91
7 drDNA-BUT-88 Zr4+ and TCTA microRNA-21 Fluorescence 0.2–1.0 nM 0.13 nM 28
8 Co–Ni–Cu-MOF Co2+, Ni2+, Cu2+, and H2BDC Nilutamide (anticancer drug) EIS 0.5–900 μM 0.48 μM 194
9 Eu-MOF Eu3+, NH2–H2BDC and Phen CA242 (tumor marker) ECL 0.005–100 U L 0.0019 U L 94
10 Pep/Au/Cu-MOF/SWNH Cu2+ and benzene-1,3,5-tricarboxylic acid Neutrophil gelatinase-associated lipocalin (biomarker of acute kidney injury) SWV 0.00001–10 ng mL−1 0.0405 pg mL−1 195
11 MOF-808 Zr4+ and trimesic acid CA125 (antigen – ovarian cancer biomarker) EIS 0.001–30 ng mL−1 0.5 pg mL−1 92
12 Zr-MOF Zr4+ and 1,4-benzenedicarboxylic acid miRNA-15 ICDSE 1–1 × 106 fM 2.03 fM 103
13 MIL-125-NH2 Ti4+ and 2-aminoterephthalic acid CLD7 (colorectal cancer biomarker) Microfluidic amperometric immunosensor 2–1000 pg mL−1 0.1 pg mL−1 93
14 AuNPs@Zn-MOF Zn2+ and [BDBMBCIm]Cl Alpha-fetoprotein (hepatocellular carcinoma) PEC 0.005–15.0 ng mL−1 1.88 pg mL−1 90
15 HRP@Fe-MOF Amyloid-β oligomer (cause Alzheimer) Using horseradish peroxidase 0.0001–10 nM 0.03 pM 196
16 Au-NPs/Cu-HHTP-NSs Cu2+ and sodium dodecyl sulfate H2O2 (from colon cells SW-48) EIS 50 nM–16.4 mM 0.0056 μM 84
17 Cu-MOF Cu2+ and 1,3,5-benzenetricarboxylic acid H2O2, and H2S Colorimetric assay H2O2: 50 nM to 500 μM H2O2: 25 nM 76
Cr2O72−: 50 nM to 0.5 μM Cr2O72−: 30 nM
H2S: 1 nM to 0.2 μM H2S: 0.2 nM
18 ZIF-67-Au@Pt Co2+ and 2-methylimidazole H2O2 (from RAW 264) Electrochemical technology 0.8–3000 μM 0.086 μM 81
19 Ag–Bi-BDC (s) MOF Bi+ and BDC H2O2 (from THP-1 and AtT-20 cells) Electrochemical technology 10 μM–145 mM 0.0201 μM 82
20 ZIF-8 Zn2+ and 2-methylimidazole H2O2 (from H9C2 and HeLa cells) EIS 5.0 μM to 70 mM 1.67 μM 112
21 MOF-818 Zr4+, Cu2+, and H2PyC H2O2, H2S (from HeLa cells) Colorimetric and electrochemical assay H2O2: 0.0133–10 mM H2O2: 9.02 μM 104
H2S: 3–333 μM H2S: 0.8 μM
22 QZIF-67-2 Co2+ and 2-methylimidazole H2O2 (from HepG2) Electrochemical technology 2 μM–65 mM 1.2 μM 197
23 Ag@ZIF-67 Co2+ and 2-methylimidazole Carcinoembryonic antigen Chemiluminescence aptasensor 0.0001–5 ng mL−1 4.53 × 10−3 ng mL−1 95
24 Co-MOF-ABEI/Ti3C2Tx Co2+ and ABEI miRNA-21 ECL 0.00001–10 nM 3.7 fM 102
25 UiO-66-2NH2 Zr4+ and 2,5-diaminoterephthalic acid MCF-7 EIS 100–100000 cell mL−1 31 cell mL−1 111


3. MOF-based biosensors

Traditional cancer diagnostic techniques such as X-ray, positron emission tomography (PET), ultrasound, computed tomography (CT), and magnetic resonance imaging (MRI) have significantly advanced early cancer detection.74 However, these methods often lack the required sensitivity and specificity for precise clinical diagnosis. Consequently, this limitation may lead to incorrect diagnoses or the inability to initiate optimal treatment at the most opportune time.75 Therefore, there has been a concerted effort to explore molecular biology-level diagnostic methods. MOFs have emerged as promising tools for disease diagnosis and early sensing. Various types of MOF-based biosensors have been developed to detect reactive oxygen species,76 cancerous tumor markers,77 microRNAs (miRNAs),28 and living cancer cells,78 as shown in Table 3. These biomarkers are recognized as common indicators for early cancer detection and screening for the initial spread of tumors. Leveraging the extensive surface area and high stability of MOFs, these MOF-based biosensors demonstrate exceptional sensing capabilities with low detection limits. This section aims to explore and elucidate the biological and potential applications of MOF-based biosensors.
Table 3 Recent progress in MOF-based carriers for disease treatment
No. MOFs MOF components Cargo/drug Stimuli type Treatment goals Main findings References
1 Hollow porphyrinic MOF Zr4+ and TCPP Doxorubicin (DOX), indocyanine green (ICG) pH, thermo Carcinoma (4T1) cell Release: 65% pH5 22
IC50: 0.11 μg mL−1
% Cell viability: 8%
2 PEG/PA@ZJU-64-NSN Zn2+ and H2BTDBA Procainamide hydrochloride (PA) pH Heart, stomach (oral route) Release: 100% (physiological environment), 40% (stomach environment) 176
3 Mg-MOF-74 Mg2+ and H4dhtp α-Cyano-4-hydroxycinnamate HeLa The saturated loading capacity: 625 mg g−1 139
% Cell viability: 5%
4 Curcumin@N3-bio-MOF-100 Zn2+ and N3-BPDC Curcumin pH 4T1 Release: 88.42% pH5 137
5 γ-Cyclodextrin-MOF@ Eudragit®RS K+ and γ-cyclodextrin Indomethacin Anti-inflammatory (oral route) Release: 82.36% 160
6 MXene/MOF-5 Zn2+ and H2BDC Doxorubicin/pCRISPR pH HEK-293, PC12, HepG2, and HeLa Release: 50% 198
Loading efficiency (%): 46
% Cell viability: 9.9%
7 Fe3O4–NH2@PDA@Au@MIL101-NH2 Fe3+ and NH2-BDC Doxorubicin Thermal HeLa The saturated loading capacity: 34.31 mg g−1 124
% Cell viability: 10%
8 Zn-MOF-74@CS Zn2+, Mn2+, TEA, and H4dhtp Doxorubicin HeLa The saturated loading capacity: 113 mg g 125
% Cell viability: 5%
9 HKUST-1 Cu2+ and trimesic acid Paracetamol Antipyretics and analgesics (oral route) Loading efficiency (%): 63.41% 163
10 γ-Cyclodextrin-MOF K+ and γ-cyclodextrin Florfenicol and enrofloxacin Antibacterial (oral route) MIC: +E. coli: 0.1 μg mL−1 168
+S. aureus: 1.6 μg mL−1
11 Ru-90@bio-MOF-1 Zn2+ and BPDC Ru-90 pH Human melanoma A375, the non-tumor mouse L929 Release: 43.11% (pH 5), 25.36% (pH 7.4) 141
IC50 (μM): 43.8 (A375), 31.5 (L929)
12 CS-g-PAA/PU/magnetic MIL-53 Fe3+ and terephthalic acid Temozolomide and paclitaxel pH, thermo U-87 MG glioblastoma cells Release: 90% at pH5, 43 °C 133
% Cell viability: ∼25%
Loading efficiency (%): 80
13 MgAl-LDH/Fe-MOF/D-Man Al3+, Mg2+, and NH2-BDC Methotrexate, doxorubicin pH MDA-MB 231 Release: 45.2% (pH 5), 18.82% (pH 7.4) 122
14 Bio-MOF(Zn)@CMS/GQDs Zn2+ and CMS/GQD Curcumin, doxorubicin pH HepG2 Loading efficiency (%): CUR (54.2) and DOX (43.2) 199
15 FU@Eu-MOF Eu3+ and H3BTC Fucoidan pH A549 Release: 85.3% pH 5 142
16 CuO-MOF Fe3+ and Cu3(BTC)2 Doxorubicin pH Release: 98.9% pH 5 123
17 Bio-MOF/polydopamine Zn2+ and curcumin Doxorubicin pH/NIR HeLa Release: 60.83% pH 5 200
IC50: 0.032 mg mL−1
18 Zr MOF UiO-66 Zr4+ and BDC Dichloroacetate, 5-fu pH MCF-7, HEK293 Loading efficiency (%): 27.5 128
IC50: 0.2 mg mL−1
19 DOX/AS1411@PEGMA@GQDs@γ-CD-MOF K+ and γ-cyclodextrin Doxorubicin pH MCF-7 Loading efficiency (%): 89.1% 201
20 CS/Zn-MOF@GO Zn2+ and H2BDC 5-Fu pH MCF-7 Loading efficiency (%): 45% 129
Release: 41.47% pH 5
21 GQDs@Bio-MOF Cd+ and TEA 5-Fu pH HT 29 Loading efficiency (%): 42.4% 202
Release: 63.2% pH 5
22 Al-MOF/GO Al3+ and GO 5-Fu pH MCF 7 and MCF 10A Loading efficiency (%): 78.4% 130
Release: 63.1%
23 DHA-UIO-66-NH2 Zr4+ and BDC-NH2 5-Fu pH MCF 7 IC50: 10.82 μM 203
24 UiO-66-NH2 Zr4+, BDC-NH2 Temozolomide Ultrasound intervention U251, SHG44 Release: 100% 134
% Cell viability: ∼20%
25 ZnMOF-CS-FA Zn2+ and TPA Methotrexate pH HCT116 Loading efficiency (%): 78% 146
Release: ∼95% pH 5, ∼25% pH 7.4
26 CMC/Cu-MOF Cu2+ and terephthalic acid Ibuprofen pH Anti-inflammatory (oral route) Release: pH 1.2 (20%), pH 6.8 (40%), pH 7.4 (70%) 204
27 UiO-66-PDC Zr4+ and H2BDC Ibuprofen pH Anti-inflammatory (oral route) Release: pH 2 (10%), pH 7.4 (100%) 162
28 MIL-100/sodium dodecyl sulfate Fe3+ and BTC Insulin pH Diabetes treatment (oral route) Release: 70% (pH 7.4) 172
29 ZIF-8 Zn2+ and 2-MIM Indomethacin pH Anti-inflammatory (oral route) Release: 90% 161
The saturated loading capacity: 1210 mg g−1
30 CMC-Zn-MEL@TC Zn2+ and carboxymethyl cellulose Tetracycline pH Antibacterial (oral route) Release: 100% 170
The antibacterial efficiency: +E. coli: 99%
+S. aureus: 99%
31 Fe3O4@PAA@MIL-100(Cr) Ciprofloxacin pH Antibacterial (oral route) Loading efficiency: 50% 205
Release: 80% at pH 7.4
32 ZIF-8/GO/MgFe2O4 Mg2+, Zn2+, and 2-methyl imidazole Tetracycline pH Antibacterial (oral route) Release: 92% at pH 7.4 169
Inhibition zone: +E. coli: 22 mm
+S. aureus: 25 mm
33 U-CD-MOF K+ and γ-cyclodextrin Caffeic acid pH Antibacterial (oral route) Release: 100% 171
34 UiO-67 Zr4+ and BDPC Brimonidine Eye drops Adsorption capacity for the drug: 600 mg g−1 177
Release: 50%
35 SiRNA@MOF Zn2+ and 2-methyl imidazole TNFα siRNA pH Treatment of ulcerative colitis (oral route) Release: +100% to 54.71% (pH 1.5), to 30.2% (pH 6.8) to 11.3% (pH 7.4) 206
36 NH2-MIL101 Exendin-4 pH Diabetes treatment (oral route) Release: 100% pH 7.4 175
37 CD-MOF K+ and γ-cyclodextrin Honokiol pH Anticancer, control gastric acidity (oral) Release: pH 1.2 (19%), pH 6.8 (46%), pH 7.4 (∼94%) 173
38 MIL-100(Fe) Fe3+ and H3BTC Genistein pH Antioxidant and antiangiogenic (oral route) The saturated loading capacity: 271 mg g−1 207
39 Bio-MOF-100 Zn2+ and 4,4′-biphenyldicarboxylic acid Rifampicin, isoniazid, pyrazinamide pH Anti-tuberculosis (oral route) Loading efficiency: 66% 208
% Cell viability: 0%
40 MIL-100(Fe) Fe2+ and BTC Diclofenac pH Anti-osteoarthritis (oral route) Release: 92% at pH 7.4 209


3.1. H2O2 sensing

H2O2 serves as a crucial micronutrient, significantly contributing to various human physiological processes. Disruptions in H2O2 levels can lead to oxidative stress, accelerating aging and fostering various serious ailments such as Alzheimer's disease, cardiovascular disorders, and cancer.79,80 Consequently, the development of a dependable and efficient method to real-time monitor H2O2 secretion from living cells is imperative. The direct diffusion of molecules into the pores of MOFs can serve as the basis for immobilizing enzymes and other molecules in electrochemical sensors.81 Employing a sensor platform utilizing MOF-loaded materials holds significant promise for biomedical monitoring applications.

In recent studies, there has been a growing exploration of MOF applications in biosensors for H2O2 detection. Mathew et al.82 developed an electrochemical Ag–Bi-BDC(s)MOF-based biosensor for detecting H2O2 in THP-1 (leukemia monocytic cell) and AtT-20 cells (the pituitary gland cell of mice), achieving a limit of detection (LOD) of 0.0201 μM. The resistance of the sensor was evaluated using various interfering agents such as uric acid, dopamine, L-cysteine, and ascorbic acid, demonstrating a 95% retention of its original activity. In the same trend, Li et al.83 proposed a fluorescent probe based on Eu-MOF with the BODIPY photosensitizer (5R@Eu-MOF) for H2O2 detection in HeLa cells. 5R@Eu-MOF exploited a unique nucleophilic reaction between the boric group and H2O2, altering energy transfer and enhancing light emission. This MOF-based biosensor exhibited rapid response and achieved a detection limit of 0.0062 μM within a range of 0–6 μM. In comparison, Huang et al.84 reported an Au@Cu-MOF-base biosensor to detect H2O2 from colon cells (SW-48) using electrochemical impedance spectroscopy. The synergistic contribution of Cu-HHTP-NS and Au-NP in the composites led to distinctive electrical and structural properties, achieving a relatively low LOD of 0.0056 μM. To achieve this result, the electrochemical spectroscopy method was used for the first time based on ultrathin 2D conductive Cu-MOF nanosheets. Accordingly, Au nanoparticles are attached to the surface of MOF nanosheets with outstanding charge mobility and high electrochemical reactivity. At this time, Au-NP/Cu-HHTP-NS has a high electrocatalytic activity for H2O2 to dissociate into two ˙OH species. As is known, the essence of electrochemical spectroscopy is to convert biochemical events into electrical signals. Consequently, the interaction process that occurs between H2O2 and the resulting material is shown using a measured electrical signal. These studies collectively showcase the potential of MOF-based biosensors, demonstrating wide detection ranges and exceptional accuracy in detecting H2O2.

3.2. Tumor biomarkers

Biomarkers serve as crucial indicators of biological processes, playing a vital role in disease detection. Tumor biomarkers, in particular, are extensively utilized for diagnosing and prognosticating various diseases, notably cancer. Enzyme activity-related tumor markers, such as adenosine triphosphate (ATP),85 acetylcholinesterase,86 protein tyrosine kinase-7 (PTK7),87 lymphocyte activation protein gene-3 (LAG-3),88 nuclear matrix protein-22 (NMP-22),89 and α-fetoprotein (AFP),90 are commonly studied. Disease-specific antigens, including carbohydrate antigen 19-9 (CA19-9), prostate-specific antigen (PSA),91 carcinoma antigen 125 (CA125),92 colorectal cancer biomarker (CLD7),93 and CA242,94 are also crucial in this context. Analytical tests possessing sensitivity, specificity, reliability, and rapidity are pivotal in measuring these biomarkers and play a crucial role in the cancer detection process. The primary construction technique employed in MOF-based biosensors for analyzing cancer markers involves immobilizing biorecognition elements like antibodies, enzymes, or specific adapters to biomarkers such as antigens or specific targets. Various sensing techniques commonly combined with MOFs for biomarker detection include colorimetry, PEC, ECL, fluorescence, enzyme-linked immunosorbent assay (ELISA), radioimmunoassay (IRMA), surface-enhanced Raman spectroscopy, and mass spectrometry, as shown in Table 3.

For instance, Wei et al.77 reported a surface-immobilized GO-based Zn-MOF biosensor using Zn2+ and TCPP, specifically for highly sensitive p53 antibody detection. Through the abundant loading of p53 antigens to recognize the target, they achieved an exceptional detection limit of 0.03 fg mL−1. In another study, Hou et al.86 evaluated the biosensing capabilities of N-doped porous carbon with active magnesium sites (Mg/NC-0.8) by annealing it with common coloring substrates like tetramethylbenzidine (TMB). They employed a Mg/NC-based colorimetric method to detect acetylcholinesterase (ACh), a cholinesterase associated with various neurodegenerative illnesses such as Parkinson's and Alzheimer's diseases. Abnormal ACh activity has been found linked to these illnesses. The principle underlying this sensing method involves the hydrolysis of acetylthiocholine (ATh) by ACh to produce thiocholine. Thiocholine, acting as a mercapto molecule, can reduce blue TMB back to its colorless form. The synthesized system ATh/Mg/NC-0.8/TMB successfully detected ACh with a low LOD of 0.0001 U L−1. Addressing antigens, Hou et al.95 devised a novel chemiluminescence sensing platform using Ag@ZIF-67 to detect carcinoembryonic antigens via base complementation between an aptamer and DNA strand. Their results showcased a wide linear detection range (0.0001–5 ng mL−1) and a low detection limit of 0.00453 ng mL−1. Recently, Ortega et al.93 synthesized MIL-125-NH2 coated with anti-CLD7 monoclonal antibody on a material using a microfluidic amperometric immunosensor device to detect the colorectal cancer biomarker. In this study, electrochemical immunosensors were used due to their rapidity, specificity, and feasibility.96 In addition, this technique relies on the specific affinity between antibodies and antigens to quantify early disease detection. Specifically, the electrochemical change caused by antigen–antibody hybridization is converted into a measurable signal. To perform this technique, the MOF material acts as a bridge connecting many anti-CD7 antibodies to the central channel surface. The central channel was then thoroughly washed to remove unbound antibodies, while bound antibodies remained stably immobilized for at least 1 month. It is those antibodies that bind to the corresponding antigens in diseased cells, causing an electrical signal if any. Accordingly, they achieved a LOD value of 0.1 pg mL−1 in the range from 2 to 1000 pg mL−1.

3.3. MicroRNAs

MicroRNAs (miRNAs) are small non-protein-coding RNAs that modulate post-transcriptional gene expression by targeting specific mRNA molecules.97 Recent studies have revealed that miRNAs circulate in a cell-free, remarkably stable form, detectable in plasma and serum within the bloodstream.98 Moreover, tumor cells demonstrate the ability to release miRNAs into circulation. Alterations in plasma and serum miRNA profiles have been observed in various disease states, including cancer.99 Detection of miRNAs typically relies on the hybridization of probe DNA sequences with the miRNA analyte.100 Single DNA strands can be securely immobilized on MOFs and MOF-based composites through interactions like π-stacking, electrostatics, and hydrogen bonding.101

Kong et al.28 developed a MOF-based biosensor using Zr4+ and TCTA, decorated with HP DNA, capable of precisely identifying miRNA-21 within the cytoplasm. This biosensor exhibited a limit of detection (LOD) of 0.13 nM within the range of 0.2–1.0 nM. In another study, Jiang et al.102 synthesized the Co-MOF material based on an electrochemiluminescence biosensor platform (ECL) carrying N-(4-aminobutyl)-N-ethylisoluminol (ABEI) to enhance efficiency. The Co-MOF, characterized by high porosity, facilitated the covalent binding of probe DNA for easy detection of miRNA-21, termed Co-MOF-ABEI/Ti3C2Tx. This designed ECL MOF-based biosensor successfully identified miRNA-21 extracted from HeLa cells, achieving an impressive detection limit of 3.7 fM. Recently, Fan et al.103 introduced an innovative integrated concentration and determination system of exosomes (ICDSE) to enrich plasma exosomes from non-small cell lung cancer patients. This system efficiently extracted miRNA-15 without the need for expensive equipment or reagents, providing a cost-effective solution for detection applications. For miRNA detection, four types of DNA with specific complementary sequences were injected into Zr-MOF on an SPRi chip to identify miRNA-155, as depicted in Fig. 3. Leveraging the significantly high refractive index of zirconium metal–organic framework, the biosensor achieved an impressive LOD for miRNA-155, not exceeding 2.03 fM. Furthermore, this study pioneered the engineering of erythrocytes by functionalizing natural human erythrocytes with aptamers on MOFs, demonstrating promising advancements in this field.


image file: d3na01075a-f3.tif
Fig. 3 (a) Principle of action of ICDSE for exosome enrichment from NSCLC patient plasma: Synthesis of engineered erythrocytes to obtain exosomes or exosomal cargo using CD63 aptamer biological affinity. (b) Exosomal miRNA installation based on the fabrication of a plasmonic biosensor based on supramolecular dendritic nanostructures and Zr MOF. Reproduced from ref. 103 with permission from Elsevier, copyright 2023. (c) Colorimetric and electrochemical sensing method based on MOF-818 on a smartphone platform, developing a H2O2 sensing system from living cells. Reproduced from ref. 104 with permission from Elsevier, copyright 2022.

3.4. Living cancer cells

Cancer is a disease characterized by the rapid proliferation of malignant cells, posing a significant threat to human health.105 Detecting cancer cells early can substantially improve the chances of timely intervention and increase survival rates.106 These cells are recognized by their increased production of glycans and proteins.107 Consequently, probes specifically designed to bind to these glycans or proteins within cancer cells offer a feasible approach for cancer diagnosis.75 Therefore, understanding the immobilization and stability of the carrier material for these probes is crucial in identifying cancer cells. MOFs present an attractive option as carriers for binding biomolecules such as antibodies, DNA, or aptamers onto sensors for detecting various targets.108–110 Their high surface area, well-defined organic ligands, and adjustable porosity make them suitable candidates. By optimizing synthesis conditions and modifying the chemical properties of MOFs, they can potentially exhibit electrochemical activity and an efficient binding capacity, serving as carriers for detecting living cancer cells.

Duan et al.78 designed an electrochemical Cr-MOF-based biosensor loaded with CoPc nanoparticles to detect the colorectal carcinoma cell line (CT26). Their results demonstrated a linear detection range for CT26 cells from 50 to 1.0 × 107 cells mL−1, with a low LOD of 31 cells mL−1. The authors highlighted the microporous structure and large specific surface area of the MOF material, enabling substantial anchoring of cobalt phthalocyanine (CoPc) nanoparticles within the pore channels of Cr-MOF. This integration enhanced the interaction and fixation of aptamer DNA, stabilizing the formed aptamer–cell complex. Consequently, MOF@CoPc exhibited robust electrochemical activity and high sensitivity in detecting cancer cells. In the same trend, Li et al.111 synthesized Zr-MOF (UiO-66-2NH2) to develop an aptasensor with high electrochemical efficiency for detecting breast cancer cells. They utilized their own material ligand (2,5-diaminoterephthalic acid) as a platform to immobilize the aptamer, binding it to the PO4-aptamer through electrostatic interactions, stacking, and covalent bonds. Consistent with the study of Duan et al.,78 the limit of detection was found to be 31 cells mL−1. This underscores the capacity of MOFs to anchor aptamers without requiring an intermediate material for capture. Furthermore, the outstanding biocompatibility of the MOF carrier facilitated the long-term immobilization of aptamer chains and the identification of living cancer cells (Fig. 4).


image file: d3na01075a-f4.tif
Fig. 4 (a) Manufacturing process of the MNPs/Zn-MOF modified electrode and H2O2 sensor from living cells released from drug stimulation and data transmission to the electrochemical station. Reproduced from ref. 112 with permission from American Chemical Society, copyright 2022. (b) BUT-88-based DNA probe fabrication procedure for cytoplasmic miRNA-21 diagnosis in MCF-7 cells and simultaneous membrane-specific recognition of MUC-1. Reproduced from ref. 28 with permission from Wiley-VCH Verlag, copyright 2020. (c) Schematic description of materials synthesis and use of Au@Cu-HHTP-NS modified electrodes to sense H2O2 in mitochondria from living human colon cells. Reproduced from ref. 84 with permission from Elsevier, copyright 2022.

4. MOF-based carriers in drug delivery systems

4.1. Blood cell-based drug delivery

The limited selectivity and adverse effects of conventional chemotherapy have led to the development of material-based drug delivery systems.113 Hence, there is a need to create a controlled blood delivery system to mitigate these drawbacks and enhance the therapeutic effectiveness of drugs.114 This approach aims to improve the anti-cancer impact of drugs with precision, targeting specific areas, and ensuring efficacy. In recent years, MOFs, composed of metal ion clusters connected by organic bonds in a porous structure, have gained significant attention.115 They have emerged as a prominent technology in blood drug delivery research due to their unique physical structures and versatile applications. MOFs possess exceptional properties including adaptable composition and structure, customizable dimensions, flexible functionalities, high drug payload capacity, and high biocompatibility. These attributes position them as promising candidates for delivering drugs through the bloodstream.116 MOFs are capable of selectively transporting drugs between normal cells and tumor cells within the bloodstream, exploiting variations in conditions such as pH and temperature between these cell types.117 Beyond drug delivery, MOFs can also serve as Fenton reaction agents, catalyzing the conversion of H2O2 to O2 while producing ˙OH to target and eliminate more cancer cells.118 Therefore, the evolution of MOF-based drug carrier design technology represents a new frontier in biomedical research, offering a wide array of possibilities for cancer treatment.

Doxorubicin (DOX) is a widely used chemotherapeutic medication for treating various malignancies such as bladder cancer, breast cancer, and acute lymphocytic leukemia.119 MOFs have shown potential in tumor synergistic therapy by effectively loading DOX through hydrogen bonding or electrostatic interactions and subsequently releasing it (Fig. 5a).120 MOFs also exhibit pH-responsive drug release properties, with DOX being primarily released at acidic pH levels (pH 5 and pH 2) rather than at pH 7.4. This behavior is attributed to the degradation of MOFs under acidic conditions, making them suitable for releasing drugs in low pH environments.121 Indeed, Pooresmaeil and Namazi122 demonstrated that drug release from MgAl-LDH/Fe-MOF/D-Man was significantly higher at pH 5.0 (45.2%) compared to that at pH 7.4 (18.82%). More highly, Gharehdaghi et al.123 observed that the MOF-based carrier CuO-MOF released 98.9% of DOX at pH 5, whereas only 33.5% was released at pH 7.4. Further investigations by Li et al.124 explored the saturated loading capacity of DOX in MOFs using Fe3O4–NH2@PDA@Au@MIL101-NH2, reaching a maximum loading capacity of 34.31 mg g−1. Hu et al.125 reported an even higher saturated loading capacity of Zn-MOF-74@CS (113 mg g−1), which was 3.3 times greater than that in the work done by Li et al.124 These findings collectively demonstrate the potential of MOFs as a promising choice for drug delivery in cancer therapy due to their pH-responsive drug release mechanisms and high drug loading capacities.


image file: d3na01075a-f5.tif
Fig. 5 (a) During the synthesis process, a hollow porphyrinic ZIF-8-based composite is co-loaded with DOX and ICG and coated with cytomembrane for homotypic targeting and immune escape. As this material enters the bloodstream to the cancer cells under a pH response, they release ICGs and DOXs for PDT, PTT, and chemotherapy. Alternatively, the carrier can be irradiated with NIR to generate drugs and 1O2, which induce PDT effects and kills cancer cells. Reproduced from ref. 22 with permission from American Chemical Society, copyright 2021. (b) A temozolomide drug delivery system based on MOF is injected directly into the mouse; the drug is transported through the bloodstream into nerve cells under the influence of ultrasound waves. Through this approach, the carrier easily penetrates the blood–brain barrier (BBB) and completely releases the drugs. Reproduced from ref. 134 with permission from Dove Medical Press Ltd, copyright 2021.

5-Fluorouracil (5-FU), initially introduced as a synthetic antineoplastic agent decades ago, remains a prominent treatment for various common malignancies, including colorectal and breast cancer.126 Its mechanism involves the irreversible inhibition of thymidylate synthase, disrupting the synthesis of DNA and RNA in cancer cells. Classified as an anti-metabolite, 5-FU exerts its action by interfering with cell nucleotide metabolism.127 For instance, Abánades Lázaro et al.128 introduced a MOF-based carrier, Zr MOF UiO-66 (formed using Zr4+ and BDC), to combat MCF-7 cancer cells. Their work revealed an IC50 value of 0.2 mg mL−1 with a MOF loading efficiency of 27.5%. In comparison, Pooresmaeil et al.129 developed CS/Zn-MOF@GO, comprising Zn-MOF doped graphene oxide (GO) and chitosan (CS), exhibiting a higher loading capacity of 45%. This increase was attributed to the supportive high porosity of GO within the MOFs, enhancing drug loading. Additionally, CS imparted sensitivity to low pH, resulting in a drug release activity of 41.47% at pH 5. Similarly, Aghazadeh Asl et al.130 synthesized CS/Al-MOF/GO, integrating Al-MOFs with GO nanosheets coated with pH-sensitive CS for 5-FU delivery against MCF-7 cells. Their study significantly improved drug loading efficiency, achieving up to 78.4%. Notably, the release activity of 5-FU from the MOF reached 63.15% at pH 5. These studies underscore the potential of MOFs as effective carriers for 5-FU delivery in cancer treatment.

Temozolomide (TMZ) is an alkylating chemotherapy agent primarily used to treat certain brain cancers. It is also considered a second-line treatment for astrocytoma and is presently the sole first-line chemotherapy for malignant glioma.131 However, due to its limited water solubility and potential toxicity, TMZ is deemed ineffective and harmful to normal cells.132 In an intriguing study, Bazzazzadeh et al.133 proposed a drug delivery system, CS-g-PAA/PU supported by a MOF termed CS-g-PAA/PU/MIL-53, loaded with TMZ for U-87 treatment. The investigation focused on the drug release activity under varying conditions of pH (7.4 and 5.5) and temperature (37 and 43 °C), yielding optimal release (90%) at pH 5 and 43 °C. The decreased pH led to increased swelling of materials due to the ionization of amino and carboxylic groups within CS-g-PAA, while higher temperature possibly influenced the opening of MOF pores, optimizing drug release efficiency. This advancement holds potential for future therapies combining hyperthermia and chemotherapy. More effectively, Wan et al.134 synthesized the UiO-66-NH2 material to deliver TMZ to penetrate the blood–brain barrier using ultrasound intervention. High-intensity ultrasound waves can temporarily disrupt the BBB without damaging surrounding nerve tissue as shown in Fig. 5b.135,136 Indeed, the drug release activity achieved 100% after only 25 minutes under ultrasound. This efficient release could be attributed to the ultrasound-assisted enhancement of TMZ solubility in the bloodstream and the slow-release nature of UiO-66-NH2.

Besides the previously mentioned drugs, various others have been explored in building MOF-based drug delivery systems. Alves et al.137 synthesized curcumin@N3-bio-MOF-100, composed of Zn2+ and N3-BPDC, for curcumin delivery to 41T cells. Curcumin, a natural compound extracted from Curcuma longa, has demonstrated effectiveness against several cancers, including breast cancer.138 The curcumin release rate of MOF was 88.42% at pH 5. In another study, Hu et al.139 utilized α-cyano-4-hydroxycinnamate, an intracellular lactate transport inhibitor,140 loaded into Mg-MOF-74. These materials exhibited excellent drug loading potential, achieving a high saturated loading capacity of 625 mg g−1. The percentage of cell viability for HeLa cells was notably low at only 5%. Marson Armando et al.141 synthesized Bio-MOF-1, a porous microcrystalline material demonstrating significant loading capacity for the anticancer metallurgical drug Ru-90, effective against A375 and L929 cells. The Zn-MOF showed a drug release capacity of 43% and 25% at pH 7.4 and pH 5.0, respectively. Moreover, Raju et al.142 designed a pH-responsive Eu-MOF decorated with Fucoidan, a sulphated polysaccharide found in brown seaweeds with anti-tumor activities.143 The drug release from Eu-MOF exhibited 85.3% effectiveness against A549 cells. In addition to the above drugs, methotrexate (MTX), a folic acid analog widely used against various cancers,144,145 was loaded onto Zn-MOF coated with folic acid-chitosan (ZnMOF-CS-FA) by Khatibi et al.146 The study demonstrated that the release of MTX by the MOF was up to 10 times higher at low pH (pH 5) compared to neutral pH (pH 7.4). These findings suggest that leveraging MOFs in drug delivery can address drawbacks such as poor solubility and targeting ability in drug molecules, potentially improving their efficacy in the bloodstream.

4.2. Oral drug delivery

Oral drug delivery has long been a preferred method due to its safety, high compliance, and cost-effectiveness.147 However, challenges persist due to poor gastrointestinal stability and pre-systemic metabolism, necessitating support systems for effective delivery.148 Typically, drugs are absorbed in the small intestine, heavily perfused and a site for metabolism. Yet, these drugs face digestion under the harsh acidic conditions of the stomach, leading to solubility issues and reduced bioavailability.149,150 To overcome these challenges, oral drug transporters are under development. These aim to aid drug penetration through the mucus barrier and shield the loaded drug from damage caused by gastric acids. MOFs have shown promise in drug delivery, but their susceptibility to destruction in stomach acidity limits their use. Bunzen151 indicated that MOF decomposition is primarily due to the competition between protons and metal ions for coordination with organic ligands. MOF stability in acidic environments hinges on the composition, where materials with high-valence metal ions and carboxylate ligands demonstrate greater stability. Conversely, those based on low-valent metal ions and azolate ligands exhibit high instability under acidic conditions.152 Consequently, selecting MOFs aligned with the pH environment or modifying MOFs post-synthesis appears as a viable strategy for effective oral drug administration.

The proposed mechanism for utilizing MOFs as an oral drug delivery agent involves employing MOFs as drug carriers alongside pH-sensitive materials for coating (Fig. 6). This composite acts as a gate switch, preventing unexpected drug leakage and enhancing the biocompatibility of the delivery system.153 The drug is loaded onto either the MOF material or MOF-based modified material and encapsulated within a capsule. Upon ingestion, the drug-material moves through the esophagus into the stomach, where it can decompose in the acidic environment.154 Thanks to the protective nature of MOFs, the drug is released gradually in small amounts.74 As the composite moves into the basic environment of the small intestine, the MOF, having been modified accordingly, opens its pores and releases the drug. The mechanism of proton-induced coordination disruption is commonly employed to achieve pH-based drug release.155 Once released, the drug is absorbed into the intestinal mucosa and enters the bloodstream for distribution to target organs.156 Presently, studies have not been directly conducted on humans; instead, simulations are performed to mimic conditions in each environment. Laboratory simulations involve subjecting the material to three pH landmarks corresponding to gastric juice, and the initial and secondary regions of intestinal juice. Initially soaked at pH 1.2, the material is then transferred at defined intervals to buffer solutions of pH 6.8 and pH 7.4. Additionally, gastric acid solution and pepsin are used to replicate the environment in the body and test the oral drug delivery capability of MOFs.157


image file: d3na01075a-f6.tif
Fig. 6 (a) The mechanism of the MOF material for oral drug delivery, the drug passes through the stomach and is absorbed in the intestine. Reproduced from ref. 176 with permission from Elsevier, copyright 2022. (b) The synthesis and functionalization of MOFs facilitate their absorption into the small intestinal cell wall, where they gradually undergo breakdown as they traverse each layer. Initially, they navigate through the upper tissue layer by shedding the PEG layer. Subsequently, they enter the lamina propria, a region supporting epithelial cells and facilitating the passage of blood vessels and nutrients. At this stage, the MOF material releases insulin drugs, which enter the bloodstream to perform their intended function. Reproduced from ref. 172 with permission from American Chemical Society, copyright 2020. (c) The graph (left) shows the drug release mechanism from MOF materials in three types of media: deionized water, deionized water with 0.01 M H+ and deionized water with 0.01 M Na+. Accordingly, drug release was highest in deionized water with 0.01 M Na+, thus indicating that H+ could not trigger procainamide release from PEG@ZJU-64-NSN. This indicated that there was a strong interaction between the cationic procainamide and the anionic MOF framework. This strong interaction would be further enhanced by procainamide protonation under more acidic conditions. The graph (right) shows the drug release ability of the material in two simulated environments: the physiological environment and the acidic environment of the stomach. Reproduced from ref. 176 with permission from Elsevier, copyright 2022.
4.2.1 Antipyretics and analgesics. Fevers significantly disrupt daily life and pose potential risks for various illnesses. They typically accompany mild to severe illnesses affecting a significant portion of the global population. Beyond elevated body temperature, fevers bring forth a range of manifestations, including physiological changes and immune as well as metabolic reactions in the body. Several drugs, such as indomethacin, paracetamol, ibuprofen, and aspirin, are extensively used to manage pain, fever, and inflammation.158 However, their limited bioavailability results in incomplete treatment, prompting patients to increase dosages and leading to heightened drug resistance. These drugs, due to their poor water solubility, often require additional excipients from pharmaceutical companies to enhance their oral availability. The use of MOFs as drug carriers has gained widespread traction to augment drug effectiveness at specific absorption sites and improve solubility. The initial report on employing MOFs by Horcajada et al.159 for ibuprofen drug delivery in 2006, focusing on MIL-100 and MIL-101, marked the beginning of an era in drug delivery using MOF materials. This research heralded a new phase in biomedical technology aimed at supporting disease treatment.

For instance, Wang et al.160 developed the MOF-based oral indomethacin delivery system, IMC/CD-MOF@ERS, comprising γ-cyclodextrin and K+ encapsulated with the polymer Eudragit®RS. With the MOF support, this system achieved an 82.36% drug release activity. In comparison, Ohsaki et al.161 demonstrated ZIF-8 as a carrier for indomethacin, achieving over 90% drug release, surpassing the study by Wang et al.160 ZIF-8 notably exhibited significantly improved bioavailability of indomethacin, not only through pH-sensitive response but also by enhancing the water solubility of the drug. In another instance, Wang et al.162 synthesized UiO-66, composed of Zr4+ and H2BDC ligands, as a targeted release platform for the oral anti-inflammatory drug ibuprofen. The release behaviors of IBU@UiO-66 showed 10% release at pH 2 and 100% release at pH 7.4. Moreover, Gautam et al.163 synthesized HKUST-1, comprising Cu2+ and trimesic acid through a hydrothermal route, for transporting paracetamol. Their findings revealed a MOF loading efficiency of 63.41%.

4.2.2 Antibacterial. Premature release of antibiotics along their path can induce numerous side effects that impact human health.164 For instance, tetracycline, widely used in treating diseases like malaria, plague, and brucellosis, is known to irritate the gastrointestinal tract, causing discomfort and health issues.165,166 Early dissolution of antibiotics in the stomach can result in nausea, stomach pain, epigastric discomfort, and even stomach ulcers.167 Thus, an engineered drug delivery system is necessary to ensure biocompatibility in the dosage form, enabling dissolution in the intestines while mitigating gastrointestinal irritation and related side effects. Materials exhibiting substantial surface areas and high pore volumes, such as MOFs, emerge as promising candidates for designing drug delivery systems that enhance effectiveness and minimize adverse drug effects.

Recently, Wei et al.168 synthesized γ-cyclodextrin-MOF from K+ and γ-cyclodextrin to deliver florfenicol and enrofloxacin synergistically, targeting E. coli and S. aureus. Accordingly, MIC values obtained were 0.1 μg mL−1 for E. coli and 1.6 μg mL−1 for S. aureus. In another study, Sanaei-Rad et al.169 fabricated ZIF-8/GO/MgFe2O4 consisting of Mg2+, Zn2+ and 2-methyl imidazole for tetracycline transport. The achieved results showed that 92% tetracycline was released at pH 7.4. Similarly, Alsaaed et al.170 utilized carboxymethyl cellulose as ligands to synthesize CMC-Zn-MEL, which was adorned with tetracycline. This formulation exhibited a higher drug release efficiency (100%) compared to that of Sanaei-Rad et al.169 Interestingly, an antibacterial efficacy of 99% was achieved against both E. coli and S. aureus. In line with this trend, Shen et al.171 reported the synthesis of U-CD-MOF composed of K+ and γ-cyclodextrin for carrying caffeic acid. Experimental findings indicated a 100% release of caffeic acid at pH 7.4.

4.2.3 Other diseases. Aside from their common oral drug applications, MOFs are utilized in delivering drugs for a wide array of diseases. For example, Zhou et al.172 synthesized MIL-100(Fe) using Fe3+ and BTC ligands, coating it with sodium dodecyl sulfate as a pH-sensitive component for insulin delivery. Their experiments showed the highest drug release (70%) at pH 7.4. In another study, He et al.173 used K+ and γ-cyclodextrin to fabricate CD-MOF for transporting honokiol, a compound indicated for neuroprotective, antispasmodic, antidepressant, anti-tumor, and anti-cancer treatments.174 Notably, they activated CD@MOF using supercritical carbon dioxide (scCO2) technology for the first time. This technique enhanced the surface area and pore volume without clogging channels or collapsing the framework. The surface area of activated CD@MOF reached 1902.9 m2 g−1, doube that of the non-activated material (1140.3 m2 g−1). Additionally, the high diffusivity of scCO2 enabled substantial drug molecule delivery into CD@MOF pores, suggesting a promising biomedical application technology. The results showed the activated material doubled the drug loading capacity compared to the control. In another instance, Zhou et al.175 successfully synthesized NH2-MIL101 to carry exendin-4 for diabetes treatment, achieving 100% drug release at pH 7.4. Jiang et al.176 produced PEG/PA@ZJU-64-NSN to load procainamide hydrochloride for antiarrhythmic purposes, showing 100% and 40% drug release in physiological and stomach environments respectively (Fig. 6c). These research demonstrations of MOF materials in drug delivery signify substantial contributions to future biomedical technology and materials science.

4.3. Other drug delivery routes

Besides drug delivery through the blood and oral routes, MOFs can be agents that carry drugs through other routes such as dermal and ocular administration. For ocular drug delivery, MOFs are applied in this field as a new step to overcome the challenges of conventional eye drops. In the past, eye drops often suffered from low bioavailability due to tear turnover, rapid nasal drainage, and reflex blinking. Therefore, many manufacturers increase the dosage of the drug in the solution. This increase leads to many consequences related to toxicity and unwanted side effects. From the above motivations, Gandara-Loe et al.177 demonstrated the potential applicability of MOFs in eye drops. Their work with UiO-67 showcased an adsorption capacity of 600 mg g−1 for the brimonidine eye drug. In addition, the drug release percentage was achieved up to 50% after 12 days. Regarding transdermal delivery, there are very few studies presenting in-depth the features of MOFs in transdermal drug delivery. The driving force behind transdermal drug delivery is the negative effects of oral drugs on the stomach. Furthermore, injecting drugs is complicated because it is difficult to perform on your own and requires the assistance of specialized staff. Therefore, the transdermal drug delivery route is considered a simple and non-invasive way that is convenient even for self-administration. Indeed, Rojas et al.178 synthesized three types of MOFs, UiO-66, MIL-100 and MIL-127, to deliver two drugs ibuprofen and aspirin through the skin. The results obtained indicated that UiO-66 had the highest drug loading content of 92%, while MIL-100 demonstrated excellent drug release up to 99% after 1 day under simulated skin conditions. However, the desirable properties of MOFs for topical treatments differ significantly from those required for other routes of administration. Therefore, they require an in-depth understanding of the drug delivery route, stability and drug delivery time of MOFs.

5. Limitations and future prospects

MOFs are strategically designed to optimize their properties for biomedical applications, including direct injection or oral ingestion for tasks like sensing substances, aiding imaging, and treating diseases. However, the complex nature of the human body necessitates a thorough comprehension of materials introduced directly into it. Presently, comprehensive mechanisms outlining the fate of MOFs in various applications remain incomplete. Specifically, the utilization of MOF materials in resonance imaging or biomarker sensing within living organisms lacks specific elucidation. Moreover, the mechanisms for blood–brain barrier drug delivery using MOFs for neurological disease treatment are nascent. Similarly, precise pharmacokinetic routes, especially for oral drug delivery, remain undetermined, with most studies only simulating physiological environments. Consequently, uncertainties persist regarding whether MOFs can manifest their full potential within the human body as observed in laboratory settings. Predictions regarding the long-term toxicity of MOFs when interacting with organs remain elusive, despite some studies on biocompatibility. Additionally, assessments of MOF stability under real stomach conditions, characterized by varying acid types and potential interactions with food ingredients, are lacking. Moreover, the pathways of MOF elimination post-treatment and their potential impact on the excretory system in the body are unclear. These gaps underscore the need for further research and comprehensive exploration of MOFs in biomedical technology to address these limitations.

Despite their current limitations, MOFs indeed hold immense promise for future biomedical and technological advancements. Their unique characteristics, such as large surface areas and pore volumes, render them ideal for pollutant collection in water treatment.179 Research into the removal of various pollutants – ranging from heavy metal ions to organic dyes – leveraging different MOF properties has showcased their remarkable potential in this domain.180 Their stability in water, high surface area, efficient adsorption, and compositional adaptability make them valuable assets in environmental studies.181 Furthermore, in the pursuit of clean energy storage and distribution, MOFs have emerged as crucial components.182 They play pivotal roles in energy storage and conversion, contributing to advancements in battery technologies like lithium–sulfur, lithium–oxygen, and zinc–air batteries, as well as supercapacitors.183 Additionally, their unique nature as inorganic-organic hybrid materials marks a breakthrough in gas separation membranes. The production of highly porous MOFs for gas separation has gained traction, enabling the molecular-scale separation of gases through methods like C3H6 purification, C2H4 purification, noble gas separation, and isotope separation.184,185 We anticipate that the MOF materials will provide important potential for future research into multifunctional system fabrication. They can expand the industrial scale and bring outstanding features to human life.

6. Conclusion

Thanks to their exceptional functionality and versatility, MOF-based nanomaterials exhibited remarkable progress in various biomedical applications. MOF-based biosensors with a high degree of porosity, stability, uniformity, and biocompatibility are promising in sensing H2O2, tumor biomarkers, microRNA, and detecting living cancer cells. Moreover, well-designed MOF-based carriers have proven effective in drug delivery systems and anticancer therapies, leveraging their superior properties. However, certain aspects, such as new surface modification strategies and pre-clinical trials of MOF-based materials, should require critical consideration. Challenges in understanding the release of metallic ions, dopants, or ligands during interactions with enzymes, proteins, normal cells, and cancer cells are still existing. Additionally, concerns regarding potential toxicity, bioaccumulation, and long-term effects remain largely unexplored. Despite these inherent shortcomings and areas needing further investigation, MOFs hold immense promise for future biomedical therapeutic applications and continue to demonstrate outstanding functionalities across various fields.

Conflicts of interest

There are no conflicts to declare.

Acknowledgements

We acknowledge Ho Chi Minh City University of Technology (HCMUT) and VNU-HCM for supporting this study.

References

  1. K. Shimizu, S. Hibino, M. H. Biros, T. Irisawa and T. Shimazu, Int. J. Emerg. Med., 2021, 14, 2 CrossRef .
  2. L. L. Tundisi, J. A. Ataide, J. S. R. Costa, D. de F. Coêlho, R. B. Liszbinski, A. M. Lopes, L. Oliveira-Nascimento, M. B. de Jesus, A. F. Jozala, C. Ehrhardt and P. G. Mazzola, Colloids Surf., B, 2023, 222, 113043 CrossRef CAS PubMed .
  3. S. Liu, J. Tang, F. Ji, W. Lin and S. Chen, Gels, 2022, 8, 46 CrossRef CAS PubMed .
  4. B. Rabeie and N. M. Mahmoodi, J. Colloid Interface Sci., 2024, 654, 495–522 CrossRef CAS PubMed .
  5. N. Ahmad, N. A. H. M. Nordin, J. Jaafar, A. F. Ismail and M. K. N. B. Ramli, J. Environ. Chem. Eng., 2021, 9, 105887 CrossRef CAS .
  6. H. Hoseinzadeh, M. Bakhtiari, K. Seifpanahi-Shabani, M. Oveisi, B. Hayati, B. Rabeie, F. Shahmoradi Ghaheh, R. Salmani and H. Ullah, Mater. Sci. Eng., B, 2021, 274, 115495 CrossRef CAS .
  7. Y. Mantri and J. V. Jokerst, ACS Nano, 2020, 14, 9408–9422 CrossRef CAS .
  8. L. Chen, W. Hong, W. Ren, T. Xu, Z. Qian and Z. He, Signal Transduction Targeted Ther., 2021, 6, 225 CrossRef PubMed .
  9. Z. Edis, J. Wang, M. K. Waqas, M. Ijaz and M. Ijaz, Int. J. Nanomed., 2021, 16, 1313–1330 CrossRef .
  10. M. Alavi, Expert Rev. Anti-Infect. Ther., 2022, 20, 897–906 CrossRef CAS .
  11. E. N. Hammad, S. S. Salem, A. A. Mohamed and W. El-Dougdoug, Appl. Biochem. Biotechnol., 2022, 194, 6053–6067 CrossRef CAS PubMed .
  12. S. S. Salem, M. S. E. M. Badawy, A. A. Al-Askar, A. A. Arishi, F. M. Elkady and A. H. Hashem, Life, 2022, 12, 893 CrossRef CAS PubMed .
  13. T. J. Matemb Ma Ntep, V. K. Gramm, U. Ruschewitz and C. Janiak, Chem. Commun., 2022, 58, 8900–8933 RSC .
  14. K. Kang, S. Liu, M. Zhang, L. Li, C. Liu, L. Lei, X. Dai, C. Xu and C. Xiao, Adv. Funct. Mater., 2022, 32, 2208148 CrossRef CAS .
  15. M. Ding, W. Liu and R. Gref, Adv. Drug Delivery Rev., 2022, 190, 114496 CrossRef CAS PubMed .
  16. T. Jia, Y. Gu and F. Li, J. Environ. Chem. Eng., 2022, 10, 108300 CrossRef CAS .
  17. I. Ihsanullah, Curr. Opin. Environ. Sci. Health, 2022, 26, 100335 CrossRef .
  18. M. Guo, M. Zhang, R. Liu, X. Zhang and G. Li, Adv. Sci., 2022, 9, 2103361 CrossRef CAS PubMed .
  19. D. De and P. Sahoo, Dalton Trans., 2022, 51, 9950–9965 RSC .
  20. H. Yuan, N. Li, W. Fan, H. Cai and D. Zhao, Adv. Sci., 2022, 9, 2104374 CrossRef CAS .
  21. I. Hussain, S. Iqbal, C. Lamiel, A. Alfantazi and K. Zhang, J. Mater. Chem. A, 2022, 10, 4475–4488 RSC .
  22. X. Sun, G. He, C. Xiong, C. Wang, X. Lian, L. Hu, Z. Li, S. J. Dalgarno, Y. W. Yang and J. Tian, ACS Appl. Mater. Interfaces, 2021, 13, 3679–3693 CrossRef CAS PubMed .
  23. H. Zhao, G. Shu, J. Zhu, Y. Fu, Z. Gu and D. Yang, Biomaterials, 2019, 217, 119332 CrossRef CAS .
  24. J. Tang, C. Huang, Y. Liu, T. Wang, M. Yu, H. Hao, W. Zeng, W. Huang, J. Wang and M. Wu, Coord. Chem. Rev., 2023, 490, 215211 CrossRef CAS .
  25. J. Yang, D. Dai, X. Zhang, L. Teng, L. Ma and Y.-W. Yang, Theranostics, 2023, 13, 295–323 CrossRef CAS .
  26. M. Wu and Y. Yang, Adv. Mater., 2017, 29, 1606134 CrossRef .
  27. S. Chen, J. Lu, T. You and D. Sun, Coord. Chem. Rev., 2021, 439, 213929 CrossRef CAS .
  28. X. J. Kong, X. Ji, T. He, L. H. Xie, Y. Z. Zhang, H. Lv, C. Ding and J. R. Li, ACS Appl. Mater. Interfaces, 2020, 12, 35375–35384 CrossRef CAS .
  29. D. Chakraborty, D. Musib, R. Saha, A. Das, M. K. Raza, V. Ramu, S. Chongdar, K. Sarkar and A. Bhaumik, Mater. Today Chem., 2022, 24, 100882 CrossRef CAS .
  30. W. Zhang, R. Taheri-Ledari, M. Saeidirad, F. S. Qazi, A. Kashtiaray, F. Ganjali, Y. Tian and A. Maleki, J. Environ. Chem. Eng., 2022, 10, 108836 CrossRef CAS .
  31. S. N. Tambat, D. J. Ahirrao, A. B. Pandit, N. Jha and S. M. Sontakke, Environ. Technol. Innovation, 2020, 19, 101021 CrossRef .
  32. W. Zhang, Z. Shahnavaz, X. Yan, X. Huang, S. Wu, H. Chen, J. Pan, T. Li and J. Wang, Inorg. Chem., 2022, 61, 15287–15301 CrossRef CAS PubMed .
  33. A. Kumar, Y. Kuang, Z. Liang and X. Sun, Mater. Today Nano, 2020, 11, 100076 CrossRef .
  34. F. Li, J. Li, L. Zhou and S. Dai, Sustainable Energy Fuels, 2021, 5, 1095–1102 RSC .
  35. J. Beamish-Cook, K. Shankland, C. A. Murray and P. Vaqueiro, Cryst. Growth Des., 2021, 21, 3047–3055 CrossRef CAS .
  36. V. M. Varsha and G. Nageswaran, J. Electrochem. Soc., 2020, 167, 155527 CrossRef .
  37. J. Y. Tse, K. Kadota, T. Nakajima, H. Uchiyama, S. Tanaka and Y. Tozuka, Cryst. Growth Des., 2022, 22, 1143–1154 CrossRef CAS .
  38. W. Chen, Z. Zhang, L. Hou, C. Yang, H. Shen, K. Yang and Z. Wang, Sep. Purif. Technol., 2020, 250, 117198 CrossRef CAS .
  39. T. Abdullahi, Z. Harun and M. H. D. Othman, Adv. Powder Technol., 2017, 28, 1827–1840 CrossRef CAS .
  40. Y. Hao, H. Guo, F. Yang, J. Zhang, N. Wu, M. Wang, C. Li and W. Yang, J. Alloys Compd., 2022, 911, 164726 CrossRef CAS .
  41. D. Ma, L. Lai, C. P. de León, D. Yuan and J. H. Pan, Sustainable Mater. Technol., 2022, 32, e00419 CrossRef CAS .
  42. Y. Shi, L. Wang, S. Dong, X. Miao, M. Zhang, K. Sun, Y. Zhang, Z. Cao and J. Sun, Opt. Mater., 2022, 131, 112580 CrossRef CAS .
  43. H. Liu, Y. Zhao, C. Zhou, B. Mu and L. Chen, Chem. Phys. Lett., 2021, 780, 138906 CrossRef CAS .
  44. Z. Zhao, H. Li, K. Zhao, L. Wang and X. Gao, Chem. Eng. J., 2022, 428, 131006 CrossRef CAS .
  45. L. Bazzi, I. Ayouch, H. Tachallait and S. EL Hankari, Results Eng., 2022, 13, 100378 CrossRef CAS .
  46. N. Singh, S. Qutub and N. M. Khashab, J. Mater. Chem. B, 2021, 9, 5925–5934 RSC .
  47. J. Yang and Y. Yang, Small, 2020, 16, 1906846 CrossRef CAS .
  48. S. Ullah, M. A. Bustam, A. G. Al-Sehemi, M. A. Assiri, F. A. Abdul Kareem, A. Mukhtar, M. Ayoub and G. Gonfa, Microporous Mesoporous Mater., 2020, 296, 110002 CrossRef CAS .
  49. Y. Liu, Y. K. Lu, B. Zhang, L. Hou and Y. Y. Wang, Inorg. Chem., 2020, 59, 7531–7538 CrossRef CAS .
  50. V. Gupta, S. Mohiyuddin, A. Sachdev, P. K. Soni, P. Gopinath and S. Tyagi, J. Drug Delivery Sci. Technol., 2019, 52, 846–855 CrossRef CAS .
  51. S. H. Paiman, M. A. Rahman, T. Uchikoshi, N. Abdullah, M. H. D. Othman, J. Jaafar, K. H. Abas and A. F. Ismail, J. Saudi Chem. Soc., 2020, 24, 896–905 CrossRef CAS .
  52. M. Moharramnejad, A. Ehsani, M. Shahi, S. Gharanli, H. Saremi, R. E. Malekshah, Z. S. Basmenj, S. Salmani and M. Mohammadi, J. Drug Delivery Sci. Technol., 2023, 81, 104285 CrossRef CAS .
  53. B. Xu, Z. Huang, Y. Liu, S. Li and H. Liu, Nano Today, 2023, 48, 101690 CrossRef CAS .
  54. S. F. Fatima, R. Sabouni, R. Garg and H. Gomaa, Colloids Surf., B, 2023, 225, 113266 CrossRef CAS PubMed .
  55. H. Bunzen and D. Jirák, ACS Appl. Mater. Interfaces, 2022, 14, 50445–50462 CrossRef CAS .
  56. H. Xu, S. F. Othman and R. L. Magin, J. Biosci. Bioeng., 2008, 106, 515–527 CrossRef CAS .
  57. J. Yang and Y. Yang, View, 2020, 1, e20 CrossRef .
  58. G. Shu, M. Chen, J. Song, X. Xu, C. Lu, Y. Du, M. Xu, Z. Zhao, M. Zhu, K. Fan, X. Fan, S. Fang, B. Tang, Y. Dai, Y. Du and J. Ji, Bioact. Mater., 2021, 6, 1423–1435 CAS .
  59. G. J. Soufi, A. Hekmatnia, S. Iravani and R. S. Varma, ACS Appl. Nano Mater., 2022, 5, 10151–10166 CrossRef CAS .
  60. M. Jia, X. Yang, Y. Chen, M. He, W. Zhou, J. Lin, L. An and S. Yang, J. Mater. Chem. B, 2021, 9, 8631–8638 RSC .
  61. Y. Zhu, N. Xin, Z. Qiao, S. Chen, L. Zeng, Y. Zhang, D. Wei, J. Sun and H. Fan, Adv. Healthcare Mater., 2020, 9, 2000205 CrossRef CAS PubMed .
  62. P. Pandit, S. Bhagat, P. Rananaware, Z. Mohanta, M. Kumar, V. Tiwari, S. Singh and V. P. Brahmkhatri, Microporous Mesoporous Mater., 2022, 340, 112008 CrossRef CAS .
  63. Q. You, K. Zhang, J. Liu, C. Liu, H. Wang, M. Wang, S. Ye, H. Gao, L. Lv, C. Wang, L. Zhu and Y. Yang, Adv. Sci., 2020, 7, 1903341 CrossRef CAS PubMed .
  64. J. Bao, X. Zu, X. Wang, J. Li, D. Fan, Y. Shi, Q. Xia and J. Cheng, Int. J. Nanomed., 2020, 15, 7687–7702 CrossRef CAS PubMed .
  65. X. Zhang, Y. Lu, D. Jia, W. Qiu, X. Ma, X. Zhang, Z. Xu and F. Wen, J. Nanobiotechnol., 2021, 19, 455 CrossRef CAS PubMed .
  66. Y. Pu, Y. Zhu, Z. Qiao, N. Xin, S. Chen, J. Sun, R. Jin, Y. Nie and H. Fan, J. Mater. Chem. B, 2021, 9, 1846–1857 RSC .
  67. A. K. Ghanem and M. J. Budoff, in Textbook of Arterial Stiffness and Pulsatile Hemodynamics in Health and Disease, Elsevier, 2022, pp. 77–90 Search PubMed .
  68. M. Almurayshid, Y. Alssalim, F. Aksouh, R. Almsalam, M. ALQahtani, M. I. Sayyed and F. Almasoud, Materials, 2021, 14, 4957 CrossRef CAS PubMed .
  69. Y. Ma, J. Mao, H. Qin, P. Liang, W. Huang, C. Liu and J. Gao, Front. Bioeng. Biotechnol., 2022, 10, 927461 CrossRef PubMed .
  70. H. Kang, M.-W. Kang, S. Kashiwagi and H. S. Choi, J. Immunother. Cancer, 2022, 10, e004936 CrossRef PubMed .
  71. H. Nakanotani, Y. Tsuchiya and C. Adachi, Chem. Lett., 2021, 50, 938–948 CrossRef CAS .
  72. Y.-M. Wang, Y. Xu, X. Zhang, Y. Cui, Q. Liang, C. Liu, X. Wang, S. Wu and R. Yang, Nanomaterials, 2022, 12, 287 CrossRef CAS PubMed .
  73. C. Yuan, Y. Li, Z. Xu, C. Wang, J. Zhang, Y. Jin, Z. Chen, H. Sun, F. Wu, Q. Zhang, Y. Tang and S. Wang, ACS Appl. Nano Mater., 2022, 5, 15318–15327 CrossRef CAS .
  74. L. Li, Z. Qi, S. Han, X. Li, B. Liu and Y. Liu, Mini-Rev. Med. Chem., 2022, 22, 2564–2580 CrossRef CAS PubMed .
  75. S. Zhang, F. Rong, C. Guo, F. Duan, L. He, M. Wang, Z. Zhang, M. Kang and M. Du, Coord. Chem. Rev., 2021, 439, 213948 CrossRef CAS .
  76. K.-N. Chi, Y. Guan, X. Zhang, T. Yang, S. Meng, R. Hu and Y.-H. Yang, Anal. Chim. Acta, 2021, 1159, 338378 CrossRef CAS PubMed .
  77. Y. Wei, Y. Zhang, J.-S. Chen, C. Mao and B.-K. Jin, Microchim. Acta, 2020, 187, 455 CrossRef CAS PubMed .
  78. F. Duan, M. Hu, C. Guo, Y. Song, M. Wang, L. He, Z. Zhang, R. Pettinari and L. Zhou, Chem. Eng. J., 2020, 398, 125452 CrossRef CAS .
  79. R. Hao, M. Li, F. Li, D. Sun-Waterhouse and D. Li, Sci. Total Environ., 2022, 841, 156669 CrossRef CAS PubMed .
  80. M. Zhang, T. Wang, X. Lin, M. Fan, Y. Zho, N. Li and X. Cui, Sens. Actuators, B, 2021, 331, 129411 CrossRef CAS .
  81. H. Wang, W. Chen, Q. Chen, N. Liu, H. Cheng and T. Li, J. Electroanal. Chem., 2021, 897, 115603 CrossRef CAS .
  82. G. Mathew, M. Daniel, K. Peramaiah, M.-R. Ganesh and B. Neppolian, J. Electroanal. Chem., 2022, 914, 116255 CrossRef CAS .
  83. Y. Li, J.-J. Li, Q. Zhang, J.-Y. Zhang, N. Zhang, Y.-Z. Fang, J. Yan and Q. Ke, Sens. Actuators, B, 2022, 354, 131140 CrossRef CAS .
  84. W. Huang, Y. Xu, Z. Wang, K. Liao, Y. Zhang and Y. Sun, Talanta, 2022, 249, 123612 CrossRef CAS PubMed .
  85. C. Lin, Y. Huang, L. Luo, F. Fang, J. Zhang, Z. Xun, Y. Fu, H. Shang, C. Liu and Q. Ou, Front. Immunol., 2022, 13, 927761 CrossRef CAS PubMed .
  86. Y. Hou, Y. Lu, X. Zhang and Y. Huang, Sens. Actuators, B, 2022, 370, 132409 CrossRef CAS .
  87. L. Shi, Y. Ma, H. Zhang, Y. Tan, L. Zhu, Y. Liu, J. Yin, Q. Chen, D. Yang, Y. Qian and Y. Ma, Talanta, 2022, 254, 124139 CrossRef PubMed .
  88. S. Gertel, A. Polachek, O. Elkayam and V. Furer, Autoimmun. Rev., 2022, 21, 103085 CrossRef CAS PubMed .
  89. T. Karashima, S. Umemoto, T. Kishida, K. Osaka, M. Nakagawa, E. Yoshida, T. Yoshimura, M. Sakaguchi, H. Nishimoto, M. Tai, K. Inoue, M. Seiki, N. Koshikawa and T. Shuin, Cancer Med., 2023, 12, 2453–2462 CrossRef CAS PubMed .
  90. X. Qin, Y. Pan, J. Zhang, J. Shen and C. Li, Talanta, 2023, 253, 123684 CrossRef CAS PubMed .
  91. D. Bahari, B. Babamiri, K. Moradi, A. Salimi and R. Hallaj, Biosens. Bioelectron., 2022, 195, 113657 CrossRef CAS PubMed .
  92. S. Biswas, Q. Lan, Y. Xie, X. Sun and Y. Wang, ACS Appl. Mater. Interfaces, 2021, 13, 3295–3302 CrossRef CAS PubMed .
  93. F. G. Ortega, G. E. Gomez, C. Boni, I. C. García, C. G. Navas, R. F. D’vries, M. P. Molina Vallejos, M. J. Serrano, G. A. Messina, J. E. Hernández and M. A. Fernández-Baldo, Talanta, 2023, 251, 123766 CrossRef CAS PubMed .
  94. H. Dong, S. Liu, Q. Liu, Y. Li, Z. Xu, Y. Li and Q. Wei, Anal. Chem., 2022, 94, 12852–12859 CrossRef CAS PubMed .
  95. Y. Hou, J. Wang, S. Liu, Y. Sun, Y. Dai, C. Luo and X. Wang, Talanta, 2023, 253, 123938 CrossRef CAS PubMed .
  96. K. Feng, T. Li, C. Ye, X. Gao, X. Yue, S. Ding, Q. Dong, M. Yang, G. Huang and J. Zhang, J. Dairy Sci., 2022, 105, 2108–2118 CrossRef CAS PubMed .
  97. Z. Sun, J. Li, Y. Tong, H. Han, Y. Yang, C. Wang, H. Li, L. Du and Y. Jiang, Anal. Chim. Acta, 2022, 1221, 340136 CrossRef CAS PubMed .
  98. O. Bryzgunova, M. Konoshenko, I. Zaporozhchenko, A. Yakovlev and P. Laktionov, Diagnostics, 2021, 11, 865 CrossRef CAS PubMed .
  99. A. Thakur, D. C. Parra, P. Motallebnejad, M. Brocchi and H. J. Chen, Bioact. Mater., 2022, 10, 281–294 CAS .
  100. M. Negahdary and L. Angnes, Coord. Chem. Rev., 2022, 464, 214565 CrossRef CAS .
  101. R. Yuan, H. K. Li and H. He, Dalton Trans., 2021, 50, 14091–14104 RSC .
  102. Y. Jiang, R. Li, W. He, Q. Li, X. Yang, S. Li, W. Bai and Y. Li, Microchim. Acta, 2022, 189, 129 CrossRef CAS PubMed .
  103. Y. Fan, W. Wu, N. Xie, Y. Huang, H. Wu, J. Zhang, X. Guo, S. Ding and B. Guo, Biosens. Bioelectron., 2023, 219, 114802 CrossRef CAS PubMed .
  104. K. Yu, M. Li, H. Chai, Q. Liu, X. Hai, M. Tian, L. Qu, T. Xu, G. Zhang and X. Zhang, Chem. Eng. J., 2023, 451, 138321 CrossRef CAS .
  105. D. R. Schmidt, R. Patel, D. G. Kirsch, C. A. Lewis, M. G. Vander Heiden, J. W. Locasale and C. A. Cancer, J. Clin., 2021, 71, 333–358 Search PubMed .
  106. P. Rodriguez-Otero, B. Paiva and J. F. San-Miguel, Cancer Treat. Rev., 2021, 100, 102284 CrossRef PubMed .
  107. C. Caseiro, J. N. R. Dias, C. M. G. de Andrade Fontes and P. Bule, Int. J. Mol. Sci., 2022, 23, 3156 CrossRef CAS PubMed .
  108. G. K. Ali and K. M. Omer, Anal. Biochem., 2022, 658, 114928 CrossRef CAS PubMed .
  109. R. Zheng, B. He, L. Xie, H. Yan, L. Jiang, W. Ren, Z. Suo, Y. Xu, M. Wei and H. Jin, Anal. Chem., 2022, 94, 12866–12874 CrossRef CAS PubMed .
  110. M. L. Yola, Microchim. Acta, 2021, 188, 78 CrossRef CAS PubMed .
  111. Y. Li, M. Hu, X. Huang, M. Wang, L. He, Y. Song, Q. Jia, N. Zhou, Z. Zhang and M. Du, Sens. Actuators, B, 2020, 306, 127608 CrossRef CAS .
  112. S. Chen, Y. Xie, X. Guo and D. Sun, Microchem. J., 2022, 181, 107715 CrossRef CAS .
  113. S. K. Hari, A. Gauba, N. Shrivastava, R. M. Tripathi, S. K. Jain and A. K. Pandey, Drug Delivery Transl. Res., 2023, 13, 135–163 CrossRef PubMed .
  114. H. Xin and S. Naficy, Gels, 2022, 8, 45 CrossRef CAS PubMed .
  115. S. Daliran, A. R. Oveisi, Y. Peng, A. López-Magano, M. Khajeh, R. Mas-Ballesté, J. Alemán, R. Luque and H. Garcia, Chem. Soc. Rev., 2022, 51, 7810–7882 RSC .
  116. J. Munawar, M. Shahzeb Khan, S. E. Zehra Syeda, S. Nawaz, F. Ahmed Janjhi, H. Ul Haq, E. Ullah Rashid, T. Jesionowski and M. Bilal, Inorg. Chem. Commun., 2022, 147, 110145 CrossRef .
  117. G. Fundueanu, M. Constantin, M. Turtoi, S.-M. Bucatariu, B. Cosman, M. Anghelache, G. Voicu and M. Calin, Pharmaceutics, 2022, 14, 865 CrossRef CAS PubMed .
  118. X. Tan, D. Liao, C. Rao, L. Zhou, Z. Tan, Y. Pan, A. Singh, A. Kumar, J. Liu and B. Li, J. Solid State Chem., 2022, 314, 123352 CrossRef CAS .
  119. S. Sritharan and N. Sivalingam, Life Sci., 2021, 278, 119527 CrossRef CAS PubMed .
  120. S. Mallakpour, E. Nikkhoo and C. M. Hussain, Coord. Chem. Rev., 2022, 451, 214262 CrossRef CAS .
  121. C. Rao, D. Liao, Y. Pan, Y. Zhong, W. Zhang, Q. Ouyang, A. Nezamzadeh-Ejhieh and J. Liu, Expert Opin. Drug Delivery, 2022, 19, 1183–1202 CrossRef CAS PubMed .
  122. M. Pooresmaeil and H. Namazi, Int. J. Pharm., 2022, 625, 122112 CrossRef CAS PubMed .
  123. Z. Gharehdaghi, R. Rahimi, S. M. Naghib and F. Molaabasi, J. Iran. Chem. Soc., 2022, 19, 2727–2737 CrossRef CAS .
  124. S. Li, X. Shi, H. Wang and L. Xiao, J. Biomed. Mater. Res., Part B, 2021, 109, 841–852 CrossRef CAS PubMed .
  125. J. Hu, Y. Chen, H. Zhang, Z. Chen, Y. Ling, Y. Yang, X. Liu, Y. Jia and Y. Zhou, Microporous Mesoporous Mater., 2021, 315, 110900 CrossRef CAS .
  126. C. Sethy and C. N. Kundu, Biomed. Pharmacother., 2021, 137, 111285 CrossRef CAS PubMed .
  127. N. Very, S. Hardivillé, A. Decourcelle, J. Thévenet, M. Djouina, A. Page, G. Vergoten, C. Schulz, J. Kerr-Conte, T. Lefebvre, V. Dehennaut and I. El Yazidi-Belkoura, Oncogene, 2022, 41, 745–756 CrossRef CAS PubMed .
  128. I. Abánades Lázaro, C. J. R. Wells and R. S. Forgan, Angew. Chem., Int. Ed., 2020, 59, 5211–5217 CrossRef PubMed .
  129. M. Pooresmaeil, E. A. Asl and H. Namazi, J. Alloys Compd., 2021, 885, 160992 CrossRef CAS .
  130. E. Aghazadeh Asl, M. Pooresmaeil and H. Namazi, Mater. Chem. Phys., 2023, 293, 126933 CrossRef CAS .
  131. R. Jatyan, P. Singh, D. K. Sahel, Y. G. Karthik, A. Mittal and D. Chitkara, J. Controlled Release, 2022, 350, 494–513 CrossRef CAS PubMed .
  132. Q. Gao, J. Feng, W. Liu, C. Wen, Y. Wu, Q. Liao, L. Zou, X. Sui, T. Xie, J. Zhang and Y. Hu, Adv. Drug Delivery Rev., 2022, 188, 114445 CrossRef CAS PubMed .
  133. A. Bazzazzadeh, B. F. Dizaji, N. Kianinejad, A. Nouri and M. Irani, Int. J. Pharm., 2020, 587, 119674 CrossRef CAS PubMed .
  134. Z. Wan, C. Li, J. Gu, J. Qian, J. Zhu, J. Wang, Y. Li, J. Jiang, H. Chen and C. Luo, Int. J. Nanomed., 2021, 16, 6905–6922 CrossRef CAS PubMed .
  135. T. Kim, H. J. Kim, W. Choi, Y. M. Lee, J. H. Pyo, J. Lee, J. Kim, J. Kim, J.-H. Kim, C. Kim and W. J. Kim, Nat. Biomed. Eng., 2022, 7, 149–163 CrossRef PubMed .
  136. A. Cammalleri, P. Croce, W. Lee, K. Yoon and S. S. Yoo, J. Clin. Neurophysiol., 2020, 37, 104–117 CrossRef PubMed .
  137. R. C. Alves, Z. M. Schulte, M. T. Luiz, P. Bento Da Silva, R. C. G. Frem, N. L. Rosi and M. Chorilli, Inorg. Chem., 2021, 60, 11739–11744 CrossRef CAS PubMed .
  138. V. Zoi, V. Galani, G. D. Lianos, S. Voulgaris, A. P. Kyritsis and G. A. Alexiou, Biomedicines, 2021, 9, 1086 CrossRef CAS PubMed .
  139. J. Hu, Y. Chen, H. Zhang and Z. Chen, J. Solid State Chem., 2021, 294, 121853 CrossRef CAS .
  140. K. K. Hussain, N. G. Gurudatt, M. H. Akhtar, K.-D. Seo, D.-S. Park and Y.-B. Shim, Biosens. Bioelectron., 2020, 155, 112094 CrossRef CAS PubMed .
  141. R. A. Marson Armando, M. P. Abuçafy, A. E. Graminha, R. S. da Silva and R. C. G. Frem, J. Solid State Chem., 2021, 297, 122081 CrossRef CAS .
  142. P. Raju, K. Balakrishnan, M. Mishra, T. Ramasamy and S. Natarajan, J. Drug Delivery Sci. Technol., 2022, 70, 103223 CrossRef CAS .
  143. Y. Lin, X. Qi, H. Liu, K. Xue, S. Xu and Z. Tian, Cancer Cell Int., 2020, 20, 154 CrossRef CAS PubMed .
  144. B. Khodashenas, M. Ardjmand, A. S. Rad and M. R. Esfahani, Mater. Today Chem., 2021, 20, 100474 CrossRef CAS .
  145. B. N. Cronstein and T. M. Aune, Nat. Rev. Rheumatol., 2020, 16, 145–154 CrossRef CAS PubMed .
  146. Z. Khatibi, N. M. Kazemi and S. Khaleghi, J. Drug Delivery Sci. Technol., 2022, 73, 103441 CrossRef CAS .
  147. K. R. Mazarura, P. Kumar and Y. E. Choonara, Expert Opin. Drug Delivery, 2022, 19, 1149–1163 CrossRef CAS PubMed .
  148. G. Fang and B. Tang, Asian J. Pharm. Sci., 2020, 15, 449–460 CrossRef PubMed .
  149. Q. Ramadan, R. S. Fardous, R. Hazaymeh, S. Alshmmari and M. Zourob, Adv. Biol., 2021, 5, 2100775 CrossRef PubMed .
  150. A. Ashkar, A. Sosnik and M. Davidovich-Pinhas, Biotechnol. Adv., 2022, 54, 107789 CrossRef CAS PubMed .
  151. H. Bunzen, ChemNanoMat, 2021, 7, 998–1007 CrossRef CAS .
  152. E. Moumen, A. H. Assen, K. Adil and Y. Belmabkhout, Coord. Chem. Rev., 2021, 443, 214020 CrossRef CAS .
  153. Y. Wang, J. Yan, N. Wen, H. Xiong, S. Cai, Q. He, Y. Hu, D. Peng, Z. Liu and Y. Liu, Biomaterials, 2020, 230, 119619 CrossRef CAS PubMed .
  154. D. Wang, L. Xu, F. Yang, Z. Wang, H. Sun, X. Chen, H. Xie and Y. Li, Ann. Thorac. Surg., 2021, 112, 473–480 CrossRef PubMed .
  155. N. Qiu, X. Du, J. Ji and G. Zhai, Drug Dev. Ind. Pharm., 2021, 47, 839–856 CrossRef CAS PubMed .
  156. J. Liu, P. Leng and Y. Liu, Fundam. Clin. Pharmacol., 2021, 35, 86–96 CrossRef CAS PubMed .
  157. X. Lin, L. Miao, X. Wang and H. Tian, Colloids Surf., B, 2020, 195, 111200 CrossRef CAS PubMed .
  158. P. K. Kalambate, J. Noiphung, N. Rodthongkum, N. Larpant, P. Thirabowonkitphithan, T. Rojanarata, M. Hasan, Y. Huang and W. Laiwattanapaisal, TrAC, Trends Anal. Chem., 2021, 143, 116403 CrossRef CAS .
  159. P. Horcajada, C. Serre, M. Vallet-Regí, M. Sebban, F. Taulelle and G. Férey, Angew. Chem., 2006, 118, 6120–6124 CrossRef .
  160. S. Wang, X. Yang, W. Lu, N. Jiang, G. Zhang, Z. Cheng and W. Liu, J. Drug Delivery Sci. Technol., 2021, 64, 102593 CrossRef CAS .
  161. S. Ohsaki, H. Satsuma, H. Nakamura and S. Watano, J. Drug Delivery Sci. Technol., 2021, 63, 102490 CrossRef CAS .
  162. Y. Wang, W. Lin, S. Yu, X. Huang, X. Lang, Q. He, L. Gao, H. Zhu and J. Chen, J. Solid State Chem., 2021, 293, 121805 CrossRef CAS .
  163. S. Gautam, J. Singhal, H. K. Lee and K. H. Chae, Mater. Today Chem., 2022, 23, 100647 CrossRef CAS .
  164. Z. Yang, D. J. McClements, C. Li, S. Sang, L. Chen, J. Long, C. Qiu and Z. Jin, Food Hydrocolloids, 2023, 134, 108013 CrossRef CAS .
  165. S. Singh and A. Goyal, Emerg. Modalities Mitig. Antimicrob. Resist., 2022, 47–78 CAS .
  166. M. Ebratkhahan, M. Zarei and N. Arsalani, Sep. Purif. Technol., 2022, 299, 121663 CrossRef CAS .
  167. A. Rusu and E. L. Buta, Pharmaceutics, 2021, 13, 2085 CrossRef CAS PubMed .
  168. Y. Wei, C. Chen, S. Zhai, M. Tan, J. Zhao, X. Zhu, L. Wang, Q. Liu and T. Dai, Drug Delivery, 2021, 28, 372–379 CrossRef CAS PubMed .
  169. S. Sanaei-Rad, M. A. Ghasemzadeh and S. M. H. Razavian, Sci. Rep., 2021, 11, 18734 CrossRef CAS PubMed .
  170. F. A. T. Alsaaed, H. M. A. El-Lateef, M. M. Khalaf, I. M. A. Mohamed, M. A. Al-Omair and M. Gouda, Polymers, 2022, 14, 3815 CrossRef CAS PubMed .
  171. M. Shen, J. Zhou, M. Elhadidy, Y. Xianyu, J. Feng, D. Liu and T. Ding, Ultrason. Sonochem., 2022, 86, 106003 CrossRef CAS PubMed .
  172. Y. Zhou, L. Liu, Y. Cao, S. Yu, C. He and X. Chen, ACS Appl. Mater. Interfaces, 2020, 12, 22581–22592 CrossRef CAS PubMed .
  173. Y. He, X. Hou, J. Guo, Z. He, T. Guo, Y. Liu, Y. Zhang, J. Zhang and N. Feng, Carbohydr. Polym., 2020, 235, 115935 CrossRef CAS PubMed .
  174. A. Rauf, A. Olatunde, M. Imran, F. A. Alhumaydhi, A. S. M. Aljohani, S. A. Khan, M. S. Uddin, S. Mitra, T. Bin Emran, M. Khayrullin, M. Rebezov, M. A. Kamal and M. A. Shariati, Phytomedicine, 2021, 90, 153647 CrossRef CAS PubMed .
  175. Y. Zhou, Z. Chen, D. Zhao, D. Li, C. He and X. Chen, Adv. Mater., 2021, 33, 2102044 CrossRef CAS PubMed .
  176. K. Jiang, W. Ni, X. Cao, L. Zhang and S. Lin, Mater. Today Bio, 2022, 13, 100180 CrossRef CAS PubMed .
  177. J. Gandara-Loe, B. E. Souza, A. Missyul, G. Giraldo, J. C. Tan and J. Silvestre-Albero, ACS Appl. Mater. Interfaces, 2020, 12, 30189–30197 CrossRef CAS PubMed .
  178. S. Rojas, I. Colinet, D. Cunha, T. Hidalgo, F. Salles, C. Serre, N. Guillou and P. Horcajada, ACS Omega, 2018, 3, 2994–3003 CrossRef CAS PubMed .
  179. Z.-J. Lin, H.-Q. Zheng, Y.-N. Zeng, Y.-L. Wang, J. Chen, G.-J. Cao, J.-F. Gu and B. Chen, Chem. Eng. J., 2019, 378, 122196 CrossRef CAS .
  180. M. Zheng, L. Xu, C. Chen, L. Labiadh, B. Yuan and M.-L. Fu, Sep. Purif. Technol., 2022, 294, 121187 CrossRef CAS .
  181. W. S. Chai, J. Y. Cheun, P. S. Kumar, M. Mubashir, Z. Majeed, F. Banat, S.-H. Ho and P. L. Show, J. Cleaner Prod., 2021, 296, 126589 CrossRef CAS .
  182. R. Way, M. C. Ives, P. Mealy and J. D. Farmer, Joule, 2022, 6, 2057–2082 CrossRef .
  183. Y. Peng, J. Xu, J. Xu, J. Ma, Y. Bai, S. Cao, S. Zhang and H. Pang, Adv. Colloid Interface Sci., 2022, 307, 102732 CrossRef CAS PubMed .
  184. A. Knebel and J. Caro, Nat. Nanotechnol., 2022, 17, 911–923 CrossRef CAS PubMed .
  185. T. Wang, E. Lin, Y.-L. Peng, Y. Chen, P. Cheng and Z. Zhang, Coord. Chem. Rev., 2020, 423, 213485 CrossRef CAS .
  186. W. Shang, L. Peng, P. Guo, H. Hui, X. Yang and J. Tian, ACS Biomater. Sci. Eng., 2020, 6, 1008–1016 CrossRef CAS PubMed .
  187. K. Böll, A. Zimpel, O. Dietrich, S. Wuttke and M. Peller, Adv. Ther., 2020, 3, 1900126 CrossRef .
  188. Z. Meng, H. Huang, D. Huang, F. Zhang and P. Mi, J. Colloid Interface Sci., 2021, 581, 31–43 CrossRef CAS PubMed .
  189. H. Zou, X. Li, W. Zheng and X. Zhou, Biochem. Biophys. Res. Commun., 2022, 608, 116–121 CrossRef CAS PubMed .
  190. H. Alijani, A. Noori, N. Faridi, S. Z. Bathaie and M. F. Mousavi, J. Solid State Chem., 2020, 292, 121680 CrossRef CAS .
  191. W. Zhou, J. Shen, J. Lin, M. An, L. An, Q. Tian and S. Yang, J. Mater. Sci., 2021, 56, 7386–7396 CrossRef CAS .
  192. Q. L. Guan, C. Han, F. Y. Bai, J. Liu, Y. H. Xing, Z. Shi and L. X. Sun, Sens. Actuators, B, 2020, 325, 128767 CrossRef CAS .
  193. Y. ping Wei, Y. wen Zhang, J. S. Chen, C. jie Mao and B. K. Jin, Microchim. Acta, 2020, 187, 455 CrossRef PubMed .
  194. S. Akhter, N. K. Mohd Zain, M. Shalauddin, V. K. Singh, I. I. Misnon, R. K. Sharma, S. Das, W. J. Basirun, M. R. Johan and R. Jose, Sens. Actuators, A, 2021, 325, 112711 CrossRef CAS .
  195. H. Liang, C. Chen, J. Zeng, M. Zhou, L. Wang, G. Ning, Q. Duan, R. Han, H. Liu, H. Zhao and C.-P. Li, ACS Appl. Nano Mater., 2022, 5, 16774–16783 CrossRef CAS .
  196. Y. B. Miao, Q. Zhong and H. X. Ren, Anal. Bioanal. Chem., 2022, 414, 8331–8339 CrossRef CAS PubMed .
  197. X. Shi, Y. Xie, L. Chen, J. Lu, L. Zhang and D. Sun, Bioelectrochemistry, 2022, 149, 108278 CrossRef PubMed .
  198. N. Rabiee, M. Bagherzadeh, M. Jouyandeh, P. Zarrintaj, M. R. Saeb, M. Mozafari, M. Shokouhimehr and R. S. Varma, ACS Appl. Bio Mater., 2021, 4, 5106–5121 CrossRef CAS PubMed .
  199. M. Pooresmaeil and H. Namazi, J. Taiwan Inst. Chem. Eng., 2022, 141, 104573 CrossRef CAS .
  200. S. Yang, Z. Zhao, Y. Xie, J. Lin, B. Zhang and J. Fan, Int. J. Pharm., 2022, 623, 121912 CrossRef CAS PubMed .
  201. Q. Jia, Z. Li, C. Guo, X. Huang, Y. Song, N. Zhou, M. Wang, Z. Zhang, L. He and M. Du, Nanoscale, 2019, 11, 20956–20967 RSC .
  202. Y. Hassanpouraghdam, M. Pooresmaeil and H. Namazi, Int. J. Biol. Macromol., 2022, 221, 256–267 CrossRef CAS PubMed .
  203. J. Li, F. Lu, X. Shao and B. You, Ann. Transl. Med., 2021, 9, 1761 CrossRef CAS PubMed .
  204. S. Javanbakht, M. Pooresmaeil, H. Hashemi and H. Namazi, Int. J. Biol. Macromol., 2018, 119, 588–596 CrossRef CAS PubMed .
  205. M. Mohebi Forouzan, M. A. Ghasemzadeh and S. M. H. Razavian, Inorg. Nano-Met. Chem., 2022, 52, 1318–1324 CrossRef CAS .
  206. M. Gao, C. Yang, C. Wu, Y. Chen, H. Zhuang, J. Wang and Z. Cao, J. Nanobiotechnol., 2022, 20, 404 CrossRef CAS PubMed .
  207. A. Botet-Carreras, C. Tamames-Tabar, F. Salles, S. Rojas, E. Imbuluzqueta, H. Lana, M. J. Blanco-Prieto and P. Horcajada, J. Mater. Chem. B, 2021, 9, 2233–2239 RSC .
  208. A. P. Acharya, K. B. Sezginel, H. P. Gideon, A. C. Greene, H. D. Lawson, S. Inamdar, Y. Tang, A. J. Fraser, K. V. Patel, C. Liu, N. L. Rosi, S. Y. Chan, J. A. L. Flynn, C. E. Wilmer and S. R. Little, J. Controlled Release, 2022, 352, 242–255 CrossRef CAS PubMed .
  209. P. B. So, H. T. Chen and C. H. Lin, Microporous Mesoporous Mater., 2020, 309, 110495 CrossRef CAS .

This journal is © The Royal Society of Chemistry 2024
Click here to see how this site uses Cookies. View our privacy policy here.