Open Access Article
Yanping Wang†
a,
Huimin Jiang†a,
Yanyin Zhang†b,
Qingran Yanga,
Yujun Song
*b and
Yanfeng Gao
*a
aSchool of Medical Imaging, Wannan Medical College, Wuhu 241002, China. E-mail: gaoyanfeng@wnmc.edu.cn
bCollege of Engineering and Applied Sciences, State Key Laboratory of Analytical Chemistry for Life Science, Nanjing University, Nanjing 210023, China. E-mail: ysong@nju.edu.cn
First published on 28th October 2025
The rapid, accurate, and portable detection of biomarkers plays a central role in clinical diagnostics, food safety, and environmental monitoring. However, conventional molecular diagnostic techniques are often limited by bulky instrumentation, labor-intensive protocols, and complex manipulation. The integration of the CRISPR–Cas system with microfluidics offers a novel diagnostic strategy to overcome these challenges, leveraging the remarkable specificity and sensitivity of CRISPR–Cas along with the miniaturization, integration, high-throughput, and automation of microfluidics. This review aims at summarizing the recent development of microfluidics-integrated CRISPR–Cas systems for biomarker detection, with a specific focus on the advances made over the past five years. Following a snapshot of the working mechanism of the CRISPR–Cas system in diagnostics and the diverse microfluidic setups, we comprehensively overview the applications of this technique for the detection of various biomarkers. Finally, persisting challenges and future trends are critically discussed. Overall, this review demonstrates the potential of microfluidics-integrated CRISPR–Cas systems in facilitating truly rapid, sample-to-answer point-of-care diagnostics, which are essential for global disease surveillance and accessible healthcare.
Despite its transformative potential, the widespread application of CRISPR–Cas has been limited by several key practical constraints. For example, to achieve high sensitivity, this technology often requires a pre-amplification step, such as recombinase polymerase amplification (RPA) or loop-mediated isothermal amplification (LAMP).15 These steps, along with sample preparation and the final detection reaction, are often performed manually in separate vessels, resulting in operational complexity, risk of contamination, and longer detection times. Additionally, the requirement for large quantities of specific samples and reagents can be a limiting factor, particularly for point-of-care (POC) applications where cost and resource efficiency are paramount.16,17
This is where microfluidics, the science of controlling fluids on the microscale, offers a compelling solution.18–20 Capable of efficiently manipulating small volumes of fluids, microfluidics significantly reduces the consumption of samples and expensive reagents, making it highly resource efficient. Furthermore, microfluidic devices, often referred to as “lab-on-a-chip”, can integrate multiple laboratory functions into a single miniaturized chip, such as sample purification, mixing, amplification, and detection,21–23 which facilitates the fabrication of a fully automated and portable “sample-to-answer” workflow, eliminating manual, time-consuming multi-step procedures that are prone to error and contamination.24,25 Moreover, recent advancements in nanotechnology and nanomaterials for biomedical applications26–29 has enabled the integration of functional nanomaterials into these chips, which allows for signal amplification without the need for complex pre-amplification steps, and further simplifies the diagnostic process.30,31 Thus, microfluidic devices capable of automating the entire workflow with minimal reagent requirements, reduced detection time, simplified manipulation, and enhanced detection accuracy, provide a promising way to address the current limitations of CRISPR-based diagnostics.32
Therefore, the integration of CRISPR–Cas systems with microfluidics is pioneering a new generation of diagnostic tools, combining the advantages of both techniques, including the high specificity and sensitivity of CRISPR–Cas, as well as the integration, automation, portability, low cost, and rapid detection of microfluidics, which represents a significant leap toward democratizing molecular diagnostics.33,34 This review delves into the rapid evolution of microfluidics-integrated CRISPR–Cas systems for biomarker detection, focusing on advances over the past five years (from 2020 to 2025). We begin by elucidating the fundamental mechanisms of CRISPR–Cas in diagnostics, and then critically examine the diverse microfluidic strategies enabling its on-chip integration. Subsequently, we showcase the transformative applications of these integrated platforms across various diagnostic fields, and conclude with a forward-looking discussion on the prevailing challenges and future trajectories (Fig. 1).
![]() | ||
| Fig. 1 Schematic illustration of the integration of various microfluidic devices with the CRISPR–Cas system for the detection of diverse biomarkers. | ||
Specifically, the system's immune response occurs in three stages. In the adaptation stage, when a bacterium is infected by a virus, some Cas proteins (typically Cas1 and Cas2) capture a small piece of viral DNA adjacent to the protospacer adjacent motif (PAM) and integrate it into its own CRISPR array as a new spacer. Next, in the expression stage, the CRISPR array, including the spacer sequences, is transcribed into a long RNA molecule and processed into short CRISPR RNAs (crRNAs), each containing a single spacer sequence. Finally, in the interference stage, when the virus invades again, the crRNA, guided by the spacer, recognizes and binds to the viral nucleic acids. Another Cas protein (such as Cas9, Cas12, or Cas14) is then activated, forming a complex with the crRNA (or crRNA conjugated with a tracrRNA molecule for Cas9) and serving as “molecular scissors” to precisely cleave the foreign nucleic acids with a specific PAM. Note that Cas13 targets a single-stranded RNA (ssRNA) rather than DNA, and recognizes target RNA according to the protospacer flanking site (PFS) but not PAM. By eliminating viral nucleic acid, the bacterium successfully defends itself from the invading virus.39,40 It should be highlighted that different Cas proteins exhibit different activating and cleaving mechanisms, resulting in various biomedical applications (Table 1 and Fig. 2A).
| Cas9 | Cas12 | Cas13 | Cas14 | |
|---|---|---|---|---|
| Primary target | dsDNA | dsDNA | ssRNA | ssDNA |
| gRNA | crRNA-tracrRNA conjugates | crRNA only | crRNA only | crRNA only |
| Cleavage pattern | Blunt ends | Sticky ends | Degraded RNA | Degraded DNA |
| PAM/PFS requirement | PAM: NGG (N: any nucleotide base) | PAM: TTTV (V = A/C/G) | PFS: non-G base preference | Non strict PAM; some require T-rich motifs |
| Collateral cleavage activity | None | Yes, non-specific cleavage of ssDNA | Yes, non-specific cleavage of ssRNA | Yes, non-specific cleavage of ssDNA |
| Relative size | ∼1300–1400 amino acids | ∼1200–1500 amino acids | ∼1100–1300 amino acids | ∼400–700 amino acids |
| Primary applications | Genome engineering | Biosensing | RNA detection | Ultra-sensitive DNA detection |
![]() | ||
| Fig. 2 CRISPR–Cas systems for diagnostics. (A) Cleavage mechanisms of different Cas proteins. (B) Nucleic acid detection on the basis of the trans-cleavage activity of the Cas proteins. Reprinted with permission from ref. 43. Copyright 2022 American Chemical Society. (C) An aptamer-based strategy to detect intracellular ATP. Reprinted with permission from ref. 48. Copyright 2022 Elsevier. (D) Signal conversion based on a MOF nanoparticle allowing for protein detection. Reprinted with permission from ref. 49. Copyright 2023 American Chemical Society. | ||
Recently, scientists have repurposed the CRISPR–Cas system as a powerful diagnostic tool by maintaining its core function of nucleic acid cleavage.41,42 In short, ssRNA containing a sequence complementary to the target nucleic acid (DNA or RNA), known as guide RNA (gRNA), is artificially engineered to serve the same targeting function as the crRNA (or crRNA–tracrRNA conjugates) in the natural bacterial system. When the gRNA binds to its target, the Cas protein undergoes a conformational change that directs it to cut the target nucleic acid. It should be highlighted that some Cas proteins (typically Cas12, Cas13 and Cas14) exhibit a remarkable “collateral cleavage” activity, i.e., the capability to indiscriminately cleave any nearby nucleic acid molecules, which offers the possibility to generate a detectable signal rather than simply cleaving the target.
One of the most common signal conversion methods is fluorescence, where a reporter molecule composed of a short nucleic acid with a fluorescent dye on one end and a quencher on the other, is added to the system. In its intact state, the quencher sits next to the dye, preventing it from emitting a signal. When the Cas protein is activated, it collaterally cleaves the reporter molecule and separates the dye and the quencher, thus releasing measurable fluorescence signals (Fig. 2B).43 Alternatively, for visual simplicity, colorimetric signals can be used on the basis of reporters linked to colored particles (such as gold nanoparticles) that result in a visible color change upon cleavage.44,45 Additionally, electrochemical methods have been developed for quantitative detection, where the cleavage of a reporter probe changes the electrical properties of the solution, which can then be measured by a portable potentiostat.46,47 These signal conversion strategies successfully translate the molecular trans-cleavage event into a user-friendly and quantifiable output, making the assay adaptable to different POC settings.
While the core function of the CRISPR–Cas system is nucleic acid cleavage, its diagnostic utility has been expanded far beyond nucleic acid detection through reasonable engineering of detection systems. The key principle is to convert the quantification of the target non-nucleic acid biomarker to a downstream CRISPR–Cas reaction. For example, our group has proposed an aptamer-based strategy to detect ATP, a small-molecule nucleotide. Initially, the ATP aptamer was hybridized with the activator strand of the CRISPR–Cas system, and encapsulated in a hollow COF to facilitate delivery into cells. Upon encountering ATP, the aptamer captures ATP and releases the DNA activator, which triggers the trans-cleavage activity of the Cas12a protein. Cas12a cleaved the quenched DNA reporter in the system and restored the fluorescence signal, resulting in the quantitative detection of intracellular ATP (Fig. 2C).48 Another work of our group reported zirconium-based metal–organic framework (MOF) nanoparticles co-functionalized with activators and detection antibodies of the target protein, which could be immobilized onto capture antibody-functionalized magnetic nanoparticles in the presence of the target protein through antibody–antigen affinity, leading to the conversion of protein quantity to activator number. Upon magnetic separation and MOF dissociation, the activators are released to initiate the CRISPR–Cas reaction, achieving sensitive detection of protein biomarkers (Fig. 2D).49
In brief, being capable of detecting a single nucleic acid sequence with unparalleled accuracy by precise design of the gRNA, the CRISPR–Cas system has the core advantages of high specificity and programmability. In addition, through collateral cleavage activity, the system also offers a powerful, built-in signal conversion and amplification mechanism, leading to extremely high sensitivity. Nevertheless, practical challenges, such as the multi-step detection process, the lack of integration and the risk of cross-contamination, should be addressed before the widespread use of the CRISPR–Cas system for POC applications.
| Microfluidic device | Key features | Advantages | Disadvantages | Functions in diagnostics |
|---|---|---|---|---|
| Centrifugal microfluidic devices | Use centrifugal force (spinning motor) to control fluid movement (pumping, mixing, separation) | High versatility and automation level | Requirement of a motor/spinner to drive the disc | Sample preparation |
| Significant reduction in hands-on time | High complexity, volume, and cost | Multi-step workflow automation | ||
| Strong capability for complex sample preparation | Less portable for certain POC applications | Compatible with isothermal amplification | ||
| Microdroplets | Encapsulate reactions in tiny, discrete aqueous droplets within an immiscible fluid, acting as self-contained microreactors | Extremely high throughput | Complex instrumentation for droplet generation | Target separation and isolation |
| Single-molecule resolution | Less available for low-cost POC applications | Parallel reactions | ||
| Multiplexing capability | ||||
| Minimal reagent consumption | ||||
| Reduced assay time | ||||
| Microfluidic array chips | Arrange fundamental structures, such as wells and chambers, in a patterned format to partition the reaction mixture | High throughput | Difficult to integrate a complex multi-step workflow | Sample partitioning |
| Multiplexing capability | Complex manufacturing process | Parallel and simultaneous detection | ||
| Reduced consumption of reagents and samples | ||||
| Single-cell/single-molecule sensitivity | ||||
| μPADs | Use porous materials and passive capillary action to guide fluid flow | No need for external pumps or power | Limited ability for complex sample preparation | Workflow integration |
| Extremely simple, low-cost, disposable, and highly portable | Challenging to achieve precise quantification | Target detection | ||
| Straightforward signal readout by the naked eye | ||||
| Electrochemical devices | Integrate electrodes directly into the chip to convert a reaction into a measurable electrical signal | Simple and portable instrumentation | Potential non-specific adsorption of biomolecules on the electrodes | Potential for amplification-free detection |
| Ideal for highly automated, fully integrated POCT | Difficult for highly integrated production | |||
| Potential for amplification-free and highly sensitive diagnostics |
The integration of a centrifugal microfluidic device with the CRISPR–Cas technique facilitates the automation of complex, multi-step experimental workflows. For example, a centrifugal microfluidic platform was developed for automated, rapid, and sensitive bacterial detection on the basis of the RAA-T7-CRISPR–Cas13a assay. The chip contained eight functional chambers and three siphon valves to highly integrate various manipulations, including sample loading, target capture, washing, nucleic acid elution, pre-amplification, in vitro transcription, CRISPR–Cas13a reaction, and fluorescence detection. Finally, the detection of Salmonella in chicken supernatants at a limit of detection (LOD) of 10 CFU mL−1 has been achieved (Fig. 3A).55 Centrifugal microfluidics-integrated CRISPR–Cas platforms have also been applied for the detection of other biomarkers, such as Ebola virus,56 and SARS-CoV-2 virus.57,58
![]() | ||
| Fig. 3 Diverse microfluidic devices integrated with the CIRSPR–Cas systems for biomarker detection. (A) A fully integrated centrifugal microfluidic chip for the automatic detection of Salmonella in chicken supernatants relying on the CRISPR–Cas13a reaction. Reprinted with permission from ref. 55. Copyright 2023 Elsevier. (B) Encoded microfluidic droplets integrated with CRISPR–Cas for simultaneous detection of multiple bacteria. Reprinted with permission from ref. 59. Copyright 2024 Elsevier. (C) A digital microwell chip for the detection of SARS-CoV-2. Reprinted with permission from ref. 60. Copyright 2021 Elsevier. (D) A “sample-to-answer” μPAD for HPV diagnosis. Reprinted with permission from ref. 61. Copyright 2025 American Chemical Society. (E) An electrochemical microfluidic chip for the simultaneous detection of two microRNAs. Reprinted with permission from ref. 62. Copyright 2019 The Authors. | ||
Although centrifugal microfluidics offers significant advantages, such as simplified operation, integrated sample preparation, and a high level of automation, the need for a motor or spinner to drive disc movement inherently increases device complexity, volume, and fabrication cost. These challenges must be addressed before the platforms can be adopted for a wider range of POC applications.
When integrated with the CRISPR–Cas system, microdroplets are particularly useful for high-throughput screening and digital assays.67 For example, by combining droplet microfluidics and the droplet encoding strategy, various foodborne pathogens can be detected simultaneously through a single test, without any cross-contamination. Specifically, each type of bacterial sample was encapsulated into microdroplets encoded with distinct colors. These encoded droplets were randomly mixed together and reinjected into another chip, where each droplet was merged with one-pot CRISPR detection reagents. Finally, the target nucleic acids were detected by Cas13a, and the corresponding fluorescence signals were generated for bacterial quantification. This platform achieved a high-throughput multiplexed assay of 7 bacteria with high specificity and sensitivity in 1 h (Fig. 3B).59
Microdroplet microfluidics offers compelling advantages by enabling single-molecule resolution with extremely high throughput and minimal reagent consumption. These capabilities make the technique exceptionally well-suited for absolute quantification and give it immense potential in applications ranging from single-cell analysis to highly sensitive biomarker detection. However, the primary disadvantage lies in the complex instrumentation required for reliable droplet generation and detection, which presents the main challenge to the development of simple, low-cost and POC applications.
Microfluidic arrays can be easily integrated with the CRISPR–Cas system by pre-loading different gRNAs at each individual reaction site, to enable parallel and simultaneous detection of multiple biomarkers in one run. For example, CRISPR–Cas12a-based digital detection of SARS-CoV-2 RNA has been realized by using a microfluidic chip containing over ten thousand sub-nanoliter microwells. The reaction mixture was partitioned into the microwells, incubated to induce the CRISPR reaction, and generated a detectable fluorescence signal. This strategy allowed highly sensitive quantification of SARS-CoV-2 with an LOD as low as 5 copies per μL without RNA extraction (Fig. 3C).60
Microfluidic arrays significantly enhance the diagnostic capability of CRISPR by providing a high-density, comprehensive diagnosis while maintaining the advantages of miniaturization, reduced reagent consumption, and multiplexing. Notable disadvantages and challenges remain in integrating a complex multi-step workflow into a single microfluidic array chip and the complex manufacturing process, which often limits its scalability.
When μPADs are combined with the CRISPR–Cas system, it is possible to develop a cost-effective, highly-integrated, and automated diagnostic platform for fast and straightforward biomarker detection. For example, an innovative μPAD integrated with a valve and multiple distinct zones was developed to automate the entire “sample-to-answer” process, i.e., from RPA for nucleic acid amplification and CRISPR detection, to fluorescence signal readout. This fully integrated, low-cost, and portable diagnostic platform has allowed for rapid and highly sensitive screening of high-risk HPV infections, with an LOD of 1 fM within 1 h (Fig. 3D).61 It is also possible to incorporate other signal output modalities into μPADs. For example, a highly sensitive RPA-Cas12a-μPAD was proposed for the rapid detection of Salmonella typhimurium (S. typhimurium) in food, achieving an ultralow LOD of 3–4 CFU mL−1 within 45 min by translating Cas12a trans-cleavage activity into a supersensitive surface-enhanced Raman scattering (SERS) signal readout.78
Although μPADs possess the distinct benefits of ultra-low cost, straightforward fabrication, inherent portability, and simplified result output, their utility is significantly constrained by the difficulty of incorporating complex sample preparation steps and the challenge of reliable quantitative analysis.
A traditional electrochemical sensing system generally works based on three electrodes:83 a working electrode, a reference electrode, and a counter electrode. The working electrode is where the CRISPR reaction takes place to generate the current signal. The reference electrode provides a stable, known, and unchanging potential against which the potential of the working electrode is measured. The counter electrode, also called the auxiliary electrode, completes and manages the current flow in the circuit to ensure that all the current generated at the working electrode can be matched, and that the reference electrode is protected from high current flow.84 For example, a microfluidic chip equipped with a three-electrode electrochemical cell (platinum working electrode, silver/silver chloride reference electrode, and platinum counter electrode) was developed and used along with the CRISPR–Cas13a technique, for miRNA detection. Following the off-chip recognition of miRNA by Cas13a proteins, the mixture was injected into the immobilization area of the microfluidic chip, where the noncleaved reporter RNA was captured and linked to glucose oxidase (GOx). GOx catalyzed the introduced glucose and produced H2O2, which was amperometrically detected by the working electrode. This amplification-free setup detected the tumor-related biomarkers miR-19b and miR-20a with an LOD of 10 pM (Fig. 3E).62 Other electrochemical modules, such as organic electrochemical transistors, have also emerged to support the CRISPR–Cas reaction for diagnostic applications.85
By enabling highly sensitive, amplification-free, and rapid diagnostics through miniaturized chips without the use of other signal transduction and output devices, electrochemical microfluidic biosensors show great advantages in the development of point-of-care testing (POCT) tools. However, the potential non-specific adsorption of biomolecules on the electrode can interfere with the detection accuracy. Challenges also lie in the mass production of integrated, complex microfluidic chips at low cost while maintaining high uniformity and stability.
A SlipChip is usually composed of two plates precisely patterned with microchambers and channels, which controls fluid manipulations, such as mixing, separation, and compartmentalization through relative sliding between plates.86 This simple movement without complex pumps or valves offers significant advantages, including simplicity, portability, multiplexing, high-throughput, low reagent consumption, etc., and shows promising application in nucleic acid quantification when combined with CRISPR–Cas systems.87 However, complex chip fabrication and difficulty in precise sealing remain the key challenges that should be overcome. The V-Chip is a novel type of gas-propelled biosensor that converts the concentration of a target analyte into a proportional volume of gas which further pushes the movement of ink bar along the microchannel, resulting in a readable result with the naked eye.88 In addition, by designing multiple parallel channels, it is possible to achieve simultaneous detection of different analytes in one assay. The V-Chip usually serves to support multiplex assays and signal readout in CRISPR-based sensing applications.89,90 This platform, which does not require complex instruments, is low cost and highly portable, making it ideal for POCT and low-resource settings. However, this simplicity comes at the cost of potential readout inaccuracies and sensitivity to environmental changes. Moreover, conventional syringe-driven microfluidic devices also remain indispensable for continuous-flow CRISPR studies.91
These creative microfluidic strategies underscore the remarkable adaptability of microfluidic design for CRISPR diagnostics, offering advantages in simplicity, cost, and user accessibility, while addressing different challenges in manipulation and readout. Continued integration of these designs with portable signal transduction and low-cost manufacturing techniques will further advance the development of accessible, fully instrument-free, and deployable diagnostic tools for a wide range of real-world applications.
| Microfluidic device | Cas protein | Target biomarker | LOD | Detection time | Application context | References |
|---|---|---|---|---|---|---|
| Centrifugal microfluidic platform | Cas13a | Salmonella | 10 CFU mL−1 | 1 h | Bacterial detection | 55 |
| Centrifugal microfluidic device | Cas12a | 7 viruses | N.A. | 30 min | Virus detection | 56 |
| Centrifugal microfluidic device | Cas12a | SARS-CoV-2 viruses | 1 copy per μL | 30 min | COVID-19 diagnosis | 57 |
| Centrifugal microfluidic device | Cas12a | 12 respiratory viruses | 2 copies per μL | 30 min | Infectious disease diagnosis | 58 |
| Encoded microdroplets | Cas13a | 7 foodborne bacteria | 10 copies per μL | 1 h | Multiplex bacterial detection | 59 |
| Microfluidic array chip | Cas12a | SARS-CoV-2 RNA | 5 copies per μL | N.A. | COVID-19 diagnosis | 60 |
| μPAD | Cas12a | HPV E7 gene | 1 fM | 1 h | HPV diagnosis | 61 |
| Electrochemical microfluidic chip | Cas13a | miR-19b and miR-20a | 10 pM | 4 h | Brain cancer diagnosis | 62 |
| μPAD | Cas12a | S. typhimurium | 3–4 CFU mL−1 | 45 min | Food pathogen detection | 78 |
| Electrochemical microfluidic device | Cas12a | S. aureus 6S dsDNA, SARS-CoV-2 N gene, and EGFR L858R mutations | 8.1 × 10−17 M, 7.6 × 10−17 M and 1.0 × 10−16 M | 55 min | Nucleic acid detection | 85 |
| Starburst-shaped chip | Cas12a | HPV subtype DNA | 0.26 aM | 40 min | HPV diagnosis | 95 |
| Negative pressure-driven droplet chip | Cas13a | SARS-CoV-2 RNA | 470 aM | 30 min | COVID-19 diagnosis | 96 |
| Electrochemical microfluidic biosensor | Cas13a | miRNA-19b and miRNA-20a | 2–18 pM | N.A. | MicroRNA detection | 97 |
| Three-layered PMMA microfluidic chip | Cas12a | HPV16 and HPV18 DNA | 0.5 nM and 1 aM | 30 min | HPV diagnosis | 98 |
| Multi-step SlipChip | Cas12a | SARS-CoV-2 RNA | 400 copies per mL | 60 min | COVID-19 diagnosis | 99 |
| Microdroplet biosensor | Cas12a | Meat genomic DNA | 10 copies per μL | 60 min | Food authenticity | 100 |
| Centrifugal microfluidic chip | Cas12a | SARS-CoV-2 RNA | 1 copy per μL | 50 min | COVID-19 diagnosis | 101 |
| Portable centrifugal microfluidic system | Cas13a | 10 virus RNA | 1 copy per reaction | 45 min | Virus multiplexing | 102 |
| Self-contained microfluidic chip | Cas12a | SARS-CoV-2 RNA | 100 copies per test | N.A. | COVID-19 diagnosis | 103 |
| Centrifugal microfluidic chip | Cas12a | SARS-CoV-2 RNA | 250 copies per mL | 30 min | COVID-19 diagnosis | 104 |
| Microfluidic array chip | Cas12a | SARS-CoV-2 variants, influenza A/B, HRSV | 100 copies per mL | 60 min | Virus multiplexing | 105 |
| Microfluidic dual-droplet device | Cas12a | HPV 16 and HPV 18 | 0.018 nM and 0.025 nM | <30 min | HPV diagnosis | 106 |
| Stand-alone SlipChip | Cas12a | HPV16 and HPV18 | 6 copies per reaction | 36 min | HPV diagnosis | 107 |
| Pneumatic microfluidic chip | Cas13a | Ebola virus | 20 PFU mL−1 | 5 min | Ebola virus detection | 108 |
| Centrifugal microfluidic chip | Cas14a | Four geminiviruses | 10 fM | 5 min | Agricultural diagnosis | 109 |
| Digital microfluidic chip | Cas12a | Staphylococcus aureus | 32 CFU mL−1 | 55 min | Bacterial detection | 110 |
| Microwell array-based digital chip | Cas12a | Viable E. coli O157:H7 | 36 CFU mL−1 | 15 min | Viable bacterial differentiation | 111 |
| Finger-actuated pneumatic microfluidic chip | Cas12a | 7 foodborne bacteria | 500 CFU mL−1 | 60 min | Multiplex bacterial detection | 112 |
| Centrifugal microfluidic chip | Cas13a | 12 respiratory bacteria | 10 CFU mL−1 | 40 min | Multiplex bacterial detection | 113 |
| μPAD | Cas12a | Candida and aspergillus | 4.90 and 4.13 CFU mL−1 | N.A. | Fungi detection | 114 |
| Electrochemical centrifugal chip | Cas12a | Ochratoxin A | 1.21 pg mL−1 | N.A. | Mycotoxin detection | 115 |
| Microfluidic multi-chamber chip | Cas12a | 6 mycotoxins | 1.4 to 3.9 fg mL−1 | 40 min | Mycotoxin multiplexing | 116 |
| Temperature-programmed centrifugal chip | Cas12a | Treponema pallidum | 10 copies per μL | 30 min | Syphilis diagnostics | 117 |
The microfluidics-integrated CRISPR–Cas system allows highly sensitive and specific nucleic acid detection with a reduced detection time. For example, by combining CRISPR–Cas12a and multiplex RPA in a microfluidic chip with a central well and 30 spoke microchannels, a simple 30-plexed starburst-shaped chip was designed to simultaneously test up to 30 nucleic acid targets through microfluidic space coding. The LOD was 0.26 attomole, and the device efficiently detected nine HPV subtypes in clinical samples with a sensitivity of 97.8% and specificity of 98.1% (Fig. 4A).95 In addition, this technique also offers the possibility of eliminating the pre-amplification round while maintaining the detection accuracy. A negative pressure-driven droplet microfluidic chip was fabricated to generate monodisperse droplets containing the Cas13a system, crRNA, and the target RNA sample. The CRISPR reactions within the droplets released fluorescent tags, causing the droplet to emit a green fluorescence signal, which was observed and analysed under an inverted fluorescence microscope. Without any pre-amplification process, this simple setup successfully detected SARS-CoV-2 RNA from human saliva samples with an LOD as low as 470 aM within only 30 min (Fig. 4B).96 Another microfluidic biosensor focusing on the CRISPR–Cas13a-powered electrochemical readout has also been reported to realize simultaneous detection of two common microRNAs, miRNA-19b and miRNA-20a, without any pre-amplification process.97
![]() | ||
| Fig. 4 Microfluidic CRISPR–Cas system for nucleic acid detection. (A) A radially arranged microfluidic chip combined with CRISPR–Cas12a and RPA for highly sensitive detection of nine HPV subtypes in clinical samples. Reprinted with permission from ref. 95. Copyright 2022 Springer Nature. (B) A negative pressure-driven droplet microfluidic chip for SARS-CoV-2 RNA detection in human saliva samples. Reprinted with permission from ref. 96. Copyright 2023 American Chemical Society. (C) A three-layered stand-alone microfluidic device for HPV16 and HPV18 detection through a three-step on-chip assay. Reprinted with permission from ref. 98. Copyright 2023 American Chemical Society. (D) A two-step SlipChip incorporating a multi-step workflow for the automatic detection of SARS-CoV-2 nucleic acid. Reprinted with permission from ref. 99. Copyright 2022 Royal Society of Chemistry. (E) A CRISPR–Cas12a-integrated biosensor based on microdroplets for digital single-molecule DNA detection. Reprinted with permission from ref. 100. Copyright 2024 American Chemical Society. | ||
Additionally, microfluidics-integrated CRISPR–Cas systems allow for the integration of complex assay processes, such as sample preparation, reaction, and signal readout, into a single chip, thus drastically reducing the detection time. For example, a three-layered stand-alone microfluidic device made of poly(methyl methacrylate) (PMMA) sheets was fabricated to carry out nucleic acid detection through a three-step on-chip assay, consisting of RPA for isothermal DNA amplification, CRISPR cleavage for fluorescence signal generation, and visual signal readout via a lateral flow dipstick (LFD). Note that the chip was adhered to a heating membrane to ensure the working temperature. The system achieved highly sensitive detection of human papillomavirus (HPV) subtypes, specifically HPV16 and HPV18, from clinical human cervical cell samples, with LODs as low as 0.5 nM and 1 aM, for unamplified and amplified plasmids, respectively, within 30 min (Fig. 4C).98 A two-step SlipChip was also implemented to incorporate a multi-step process, including sample division, assay manipulation and signal readout, into a single chip for the automatic detection of SARS-CoV-2 nucleic acid. The sample was first loaded and partitioned into 2400 well-arranged droplets of 3.2 nL within the meticulously designed “chain-of-pearl” channels, where the digital loop-mediated isothermal amplification (dLAMP) reaction was initiated to amplify the target nucleic acids. A simple slipping operation was subsequently performed to deliver the Cas12a protein and crRNA into the droplets, inducing the CRISPR reaction to generate fluorescence signals, which were further measured to quantify the target concentration. This design significantly simplified the manipulation of the multi-step assay, and the total processing time was approximately 60 min (Fig. 4D).99
Furthermore, by leveraging smartphone interfaces and their integrated data processing, microfluidics-integrated CRISPR–Cas systems can achieve a true “sample-to-answer” workflow.85 A CRISPR–Cas12a-integrated biosensor based on microdroplets has been developed to realize digital single-molecule DNA detection without pre-amplification. Genomic DNA was extracted, mixed with CRISPR–Cas12a-crRNA assay buffer, and injected into the microfluidic chip to generate picoliter-sized water-in-oil microdroplets. In the presence of the target gene, the Cas12a enzyme is activated and cleaves the fluorescent reporters, resulting in the emission of the fluorescence signal within the microdroplets. These fluorescent microdroplets were then counted via a custom-built smartphone application to quantify target DNA for meat species authenticity. The biosensor achieved an extremely low LOD, down to 10 copies per μL, with a linear range from 10 to 10
000 copies per μL, within 60 min (Fig. 4E).100 Such fully integrated sample-to-answer devices have also been reported for ultra-sensitive detection of nucleic acids from SARS-CoV-2 (ref. 101) and other viruses.102
Taken together, by combining the remarkable specificity of CRISPR–Cas with the automation and miniaturization of microfluidics, the microfluidics-integrated CRISPR–Cas technique effectively overcomes the core limitations of traditional PCR, and delivers rapid, highly sensitive detection capabilities within a fully integrated, automated “sample-to-answer” solution. This ability to perform the entire diagnostic workflow on a portable chip dramatically reduces hands-on time, minimizes the risk of cross-contamination, and eliminates the need for bulky laboratory equipment. Ultimately, microfluidics-integrated CRISPR–Cas systems transform complex molecular diagnostics into simple, reliable tools, paving the way for widespread, decentralized deployment in POC applications.
Most frequently, the identification of viruses through microfluidics-integrated CRISPR–Cas systems is realized based on the detection of nucleic acids (DNA or RNA) that are specific to the target virus, which is followed by the signal conversion to obtain the virus concentration. This technique has played an important role in the diagnosis of coronavirus disease 2019 (COVID-19).122,123 For example, a self-contained microfluidic chip integrates all the necessary steps for molecular diagnostic tests, including isothermal amplification, CRISPR cleavage, and lateral flow detection, into a single chip. Specifically, a low-cost, disposable hand warmer is used to provide the necessary heat for the isothermal amplification reaction, making the system highly portable. The platform achieved the detection of SARS-CoV-2 RNA with an LOD as low as 100 copies per test from clinical samples (Fig. 5A).103 In another work, a centrifugal microfluidic chip was integrated with RT-LAMP amplification and the CRISPR–Cas12a system to detect viral RNA. The chip was designed in a multi-well plate with individual reaction units, each containing a chamber connected via microchannels to two CRISPR–Cas12a detection chambers, allowing simultaneous processing of up to 96 samples. Complemented by a portable imaging device and a deep learning algorithm, the platform realized automated SARS-CoV-2 detection with an LOD as low as 250 copies per mL within 30 min.104 A notable advancement was a highly integrated, fully enclosed lab-on-a-chip CRISPR system designed to differentiate SARS-CoV-2 variants. This system seamlessly incorporates viral RNA extraction, RPA for amplification, and CRISPR–Cas12a detection into a single device, eliminating manual transfer and minimizing cross-contamination. Its design supported two-sample input with ten parallel detection chambers, enabling the automated identification of SARS-CoV-2 (including BA.1, BA.2, and BA.5 variants), influenza A (H1N1, H3N2), influenza B (IVB), and human respiratory syncytial virus (HRSV) with an LOD of 100 copies per mL in 60 min (Fig. 5B).105
![]() | ||
| Fig. 5 Microfluidic CRISPR–Cas system for virus detection. (A) A self-contained microfluidic chip integrating a multi-step workflow for SARS-CoV-2 detection. Reprinted with permission from ref. 103. Copyright 2022 Elsevier. (B) A highly integrated, fully enclosed lab-on-a-chip CRISPR system for SARS-CoV-2 variant differentiation. Reprinted with permission from ref. 105. Copyright 2023 Elsevier. (C) A microfluidic dual-droplet device driven by pressure and vacuum for simultaneous detection of HPV nucleic acid targets. Reprinted with permission from ref. 106. Copyright 2023 American Chemical Society. (D) A pneumatic microfluidic chip containing 24 parallel reaction structures for the automatic detection of Ebola virus. Reprinted with permission from ref. 108. Copyright 2019 American Chemical Society. (E) A portable centrifugal microfluidic chip integrated with AI for the detection of multiple devastating geminiviruses in tomato plants and whitefly vectors. Reprinted with permission from ref. 109. Copyright 2025 Elsevier. | ||
In addition, microfluidics-integrated CRISPR–Cas systems have demonstrated broad applicability in diagnosing other viral infections. For example, a microfluidic dual-droplet device was designed to generate picoliter-sized droplets by combining pressure and vacuum, for the simultaneous detection of HPV nucleic acid targets. The sample was mixed with the reagents for both RPA and CRISPR detection, loaded into the chip and partitioned into two distinct groups of droplets, with each group of droplets containing a specific crRNA for its target. The detection assay generates fluorescence signals, allowing for ultra-sensitive detection of HPV 16 and HPV 18 with LODs down to 0.18 nM and 0.25 nM, respectively, during a total process time of approximately 30 min (Fig. 5C).106 Later, the same group developed a stand-alone SlipChip integrated with RPA and Cas12a assays to simultaneously detect HPV16 and HPV18, achieving a detection sensitivity of approximately 6 copies per reaction and a reaction time of 36 min.107 Another work reported a pneumatic microfluidic chip that contained 24 parallel reaction structures and was integrated with a custom-designed fluorometer, for automatic CRISPR–Cas13a-based detection of Ebola virus. This system achieved ultrasensitive detection of the Ebola virus with an LOD as low as 20 pfu mL−1, while requiring only 50 μL of blood, 5 min, and $6 per assay (Fig. 5D).108
In addition to its critical application in human disease diagnostics, the microfluidics-integrated CRISPR–Cas platform also has significant potential for managing infections affecting plants and livestock. An innovative, portable diagnostic platform that integrates artificial intelligence (AI), CRISPR–Cas14a technology, and centrifugal microfluidics was developed to enable rapid, on-site detection of multiple devastating geminiviruses in tomato plants and whitefly vectors. The viral ssDNA was amplified via an asymmetric isothermal reaction and loaded into the centrifugal chip containing separate reaction chambers, thus allowing for the simultaneous detection of four geminiviruses via the collateral activity of Cas14a. The generated fluorescence signals were interpreted via a machine learning algorithm, enabling target quantification with an ultralow LOD of 10 fM and a significantly reduced reaction time of 5 min (Fig. 5E).109
In brief, microfluidics-integrated CRISPR–Cas systems have successfully addressed critical limitations of traditional viral diagnostic methods by creating portable, rapid, highly sensitive, and automated platforms. As evidenced by their successful applications in detecting human viruses, such as SARS-CoV-2, HPV, and Ebola, as well as their expanding potential in agricultural biosecurity, these systems have shown great potential for delivering gold-standard molecular accuracy outside of laboratories, paving the way for their widespread adoption in practical clinical applications.
The employment of a microfluidic chip offered the possibility of automating sequential operations into a single chip, eliminating cross-contamination. A digital microfluidic chip integrated with an electrode array was designed to manipulate the microdroplets to perform all the assay processes, including cell lysis, nucleic acid amplification, and Cas12a trans-cleavage for fluorescence signal output, without manual operation. The chip accomplished sensitive detection of Staphylococcus aureus (S. aureus) from spiked urine and milk samples at an LOD of 32 CFU mL−1 within 55 min (Fig. 6A).110 Moreover, accurate differentiation between viable and non-viable cells should be ensured to avoid false positives caused by the presence of dead bacteria. A microwell array-based digital lab-on-a-chip platform was reported to be highly sensitive and specific for the detection of viable Escherichia coli (E. coli) O157:H7 in food samples. The chip creatively integrated propidium monoazide (PMA) to enter dead bacteria and modify their DNA, eliminating interference from 99% of the dead bacteria. Thus, the microwells containing live bacteria initiated CRISPR–Cas12a and generated a detectable fluorescence signal, achieving an LOD of 36 CFU mL−1 within a drastically reduced detection time of 15 min, due to the enhanced confinement effect within the tiny microwells (Fig. 6B).111
![]() | ||
| Fig. 6 Microfluidic CRISPR–Cas system for virus detection. (A) A digital microfluidic chip integrated with an electrode array to manipulate the microdroplets for S. aureus detection. Reprinted with permission from ref. 110. Copyright 2023 Elsevier. (B) A microwell array-based digital microfluidic platform for the detection of viable E. coli O157:H7 in food samples. Reprinted with permission from ref. 111. Copyright 2024 WILEY-VCH Verlag GmbH. (C) A microfluidic chip with eight parallel detection structures radially arranged around the central sample inlet for multiplex detection of 7 foodborne pathogens. Reprinted with permission from ref. 112. Copyright 2023 Elsevier. (D) An “all-in-one” centrifugal microfluidic chip for the simultaneous detection of 12 respiratory bacteria. Reprinted with permission from ref. 113. Copyright 2024 American Chemical Society. | ||
Furthermore, the rapid and simultaneous identification of multiple potential pathogens from a single sample is crucial for effective clinical intervention, accelerated outbreak management, and stringent food safety control. Microfluidics-integrated CRISPR platforms, in particular, have significantly advanced the field of bacterial multiplex detection. A novel microfluidic device with eight parallel detection structures radially arranged around and connected to the central sample inlet has been reported to perform multiplex detection of foodborne pathogens. Each structure contained a nucleic acid amplification well, a pneumatic control region, and a CRISPR–Cas detection well, and the fluid movement was controlled by simple finger pressing. The platform achieved the simultaneous detection of Bacillus cereus, Listeria monocytogenes, S. aureus, Pseudomonas aeruginosa (P. aeruginosa), S. typhimurium, Cronobacter sakazakii, and Vibrio parahaemolyticus, with LODs below 500 CFU mL−1 and a detection time of 60 min (Fig. 6C).112 The integration of the RAA-CRISPR–Cas13a system with a centrifugal microfluidic chip provided an “all-in-one” platform that successfully performed DNA extraction, purification, distribution, amplification, detection and signal output within a single chip. In addition, designed to consist of 32 individual functional units, the chip achieved simultaneous detection of 12 respiratory bacteria with an LOD as low as 10 CFU mL−1 (Fig. 6D).113
Overall, the integration of microfluidics with CRISPR–Cas systems represents a significant improvement in bacterial diagnostics. These platforms deliver on the promise of fully automated, sample-to-answer analysis, achieving both ultra-high sensitivity and specificity within minutes. By enabling the simultaneous detection of up to 12 pathogens and accurate differentiation between viable and non-viable cells, this technology holds immense promise for effective clinical intervention and the global fight against antimicrobial resistance.
Fungi are a diverse group of eukaryotic organisms that include yeasts, molds, and mushrooms. The detection of fungi can be realized by the recognition of target nucleic acids and concentration conversion.131,132 A carefully designed strategy based on a ruler-readout paper-based microfluidic chip coupled with glucoamylase-embedded DNA hydrogels was proposed for visual quantification of invasive fungi. Initially, both CRISPR–Cas detection reagents and the sample were encapsulated into a DNA hydrogel. In the presence of the target 18S rRNA of the target fungi, the trans-cleavage activity of the Cas12a proteins was activated, cleaving the DNA linkers, destroying the hydrogel scaffold, and releasing the pre-embedded glucoamylase. The released glucoamylase then catalyzed the hydrolysis of amylose and produced glucose in the hydrogel supernatant, which was introduced into the ruler-readout μPAD and induced a readable colorimetric signal. Based on this platform, ultra-sensitive detection of Candida and Aspergillus has been achieved, with LODs of 4.90 and 4.13 CFU mL−1, respectively (Fig. 7A).114
![]() | ||
| Fig. 7 Microfluidic CRISPR–Cas system for the detection of other biomarkers. (A) A ruler-readout paper-based microfluidic chip coupled with glucoamylase-embedded DNA hydrogels for visual quantification of invasive fungi. Reprinted with permission from ref. 114. Copyright 2021 American Chemical Society. (B) An electrochemical centrifugal microfluidic chip integrated with Pd@PCN-222 nanoparticles for ochratoxin A detection. Reprinted with permission from ref. 115. Copyright 2024 Elsevier. (C) A microfluidic chip modified with photonic crystals and CdSe/ZnS QDs for simultaneous detection of 6 mycotoxins. Reprinted with permission from ref. 116. Copyright 2023 American Chemical Society. (D) A microfluidic chip based on temperature-programmed air expansion for automated detection of Treponema pallidum. Reprinted with permission from ref. 117. Copyright 2024 Elsevier. | ||
Mycotoxins are toxic secondary metabolites produced by certain species of fungi that pose a serious threat to human and animal health. Mycotoxin detection is crucial in the food safety monitoring and agricultural industries.133–135 Although mycotoxins do not possess genes or proteins, they can be detected on the basis of signal transduction, for example, by converting the target concentration to the quantity of CRISPR activator using aptamers and complementary strands.136,137 An electrochemical centrifugal microfluidic chip was developed for the detection of ochratoxin A (OTA), a harmful mycotoxin found in food. The chip was integrated with a reaction area, a detection area and a screen-printed gold electrode functionalized with Pd@PCN-222-labelled ssDNA probes. Pd@PCN-222 exhibited peroxidase-like activity and could catalyze the reduction of H2O2. During detection, the presence of OTA resulted in the competitive binding and the release of a complementary strand that would bind to the crRNA and activate the non-specific trans-cleavage activity of the Cas12a proteins. The activated Cas12a randomly cleaved the Pd@PCN-222-labelled ssDNA on the electrode surface and thus reduced the peroxidase activity toward the reduction peak current of H2O2. The generated electrochemical signals were measured to determine the OTA concentration. The platform without pre-amplification has achieved an excellent LOD of 1.21 pg mL−1 (Fig. 7B).115
The integration of advanced functional nanomaterials with microfluidic CRISPR–Cas systems has enabled novel approaches for signal conversion and amplification. For instance, CdSe/ZnS quantum dots (QDs), functionalized with a quenched reporter strand, were used as signal transducers on a microfluidic chip. Upon target mycotoxin recognition, the released activator triggered the trans-cleavage activity of Cas12a, which also cleaved the reporters on the QD surface and restored their green fluorescence. The reaction chambers in the microfluidic chip, modified with photonic crystals, further enhanced the fluorescence signal. Combined with smartphone-based detection, this strategy enabled simultaneous quantification of six mycotoxins, including aflatoxin B1 (AFB1), OTA, zearalenone (ZEN), fumonisin B1 (FB1), T-2 mycotoxin (T-2), and deoxynivalenol (DON), achieving LODs as low as 2.3, 3.9, 2.6, 1.4, 1.7, and 1.5 fg mL−1, respectively, within 40 min (Fig. 7C).116
Moreover, microfluidics-integrated CRISPR–Cas systems can also be employed for the detection of other pathogens. An automated RPA-CRISPR–Cas12a assay platform for Treponema pallidum (the spirochete causing syphilis) has been developed. This platform utilized a cleverly designed microfluidic chip that precisely manipulates fluid flow and reagent mixing through temperature-programmed air expansion. Initially, the RPA and CRISPR reagents were preloaded into two separate chambers on the chip. Upon heating, the expanded air acts as a piston, pushing the two sets of reagents together to mix, thereby activating the CRISPR detection of the target DNA. Integrated with a smartphone for automated data analysis, this all-in-one platform achieved the detection of Treponema pallidum with an LOD of 10 copies per μL in approximately 30 min (Fig. 7D).117
While CRISPR–Cas systems have been extensively applied for protein detection through nucleic acid signal transduction mechanisms,138,139 the integration of such CRISPR-based protein sensing strategies with microfluidic platforms remains an emerging area. A notable related work by Song et al. reported the CRISPR–Cas12a-based detection of telomerase activity in a single-cell microfluidic chip, with the utilization of DNA-functionalized UiO-66 nanoparticles as signal transducers.140 This pioneering demonstration highlights the feasibility of coupling enzymatic activity assays141 with microfluidics-integrated CRISPR–Cas systems and suggests the future efforts toward direct, multiplexed, and automated protein detection.
In brief, by strategically coupling the robust trans-cleavage activity of Cas proteins and innovative non-nucleic acid transducers, such as DNA hydrogels, aptamers, and functional nanomaterials, researchers have successfully developed microfluidics-integrated CRISPR–Cas platforms capable of detecting a far broader range of critical biomarkers. These advances demonstrate that the technique holds promise as a versatile sensing tool applicable across diverse fields, from clinical diagnostics to food safety and environmental monitoring.
Despite remarkable progress, several challenges remain, which hamper the practical implementation of microfluidics-integrated CRISPR–Cas platforms for clinical diagnostics. First, sample preparation is one of the major bottlenecks, as fully integrating and automating all crucial steps, especially nucleic acid extraction and cell lysis from biological matrices (e.g., blood, saliva, and swabs) is difficult. Second, on-chip multiplexing requires the careful design of not only chip structures, but also multiple guide RNAs and signal reporters, which introduces risk of cross-reactivity and arduous signal interpretation. Therefore, although microfluidic systems promise cost-effective testing, the fabrication and large-scale manufacturing of multifunctional modules, such as valves, pumps and signal interpreters, remain technically demanding and expensive, which further limits the applicability of these devices in low-resource or POC settings. Third, the great majority of current studies are conducted under controlled laboratory conditions rather than diverse patient populations, thus the clinical validation is still limited. The lack of standardized protocols and inter-platform validation ensuring reliable result comparison also impedes the reproducibility and regulatory approval of these devices before consistent clinical deployment. Finally, scaling up production to achieve mass manufacturability while maintaining performance uniformity and cost-effectiveness remains the last significant challenge for translating microfluidics-integrated CRISPR–Cas platforms from laboratory to real-world diagnostics.
In the future, efforts should focus on the key aspects addressing these challenges, such as the improvement of portability, the convergence of artificial intelligence, the exploration of new Cas proteins, and the standardization for commercialization.
The development of fully integrated and passive systems that eliminate the need for sequential manual operations, external power sources, and bulky signal readout instruments, will enable true “sample-to-answer” workflows. Such platforms should seamlessly incorporate all necessary steps within a single device, including sample loading, target extraction, amplification, reagent mixing, detection, signal transduction, result interpretation, and output. In addition to achieving complete automation, future diagnostic tools must also prioritize miniaturization, portability, and low cost to ensure practical applicability. In this regard, passive microfluidic chips driven by capillary action or gravitational force represent particularly promising candidates. This transition is essential not only for reducing costs and enhancing user-friendliness but also for expanding accessibility to resource-limited and field-deployable settings.
In parallel, the convergence of artificial intelligence with microfluidics-based CRISPR–Cas devices will open new horizons. By embedding portable optical readers, electrochemical sensors, or smartphone cameras into microfluidic devices, raw signals can be rapidly collected and transmitted for data processing. Coupled with AI and machine learning algorithms, these platforms will provide automated pattern recognition, noise filtering, and quantitative analysis, thereby not only significantly reducing the data processing time, but also reducing false positives and negatives. Besides, AI-driven models can also incorporate patient history and contextual data to enable real-time data transmission, remote interpretation, and large-scale epidemiological monitoring, which facilitates predictive diagnostic insights and personalized recommendations. Such intelligent and data-driven diagnostic tools, achieved by integrating smartphones, wireless communication, AI, cloud-based platforms, will greatly enhance the accuracy, automation, and accessibility of CRISPR-based POCT.
Another important research direction is the exploration of Cas proteins beyond the widely used Cas12 and Cas13 proteins. Emerging candidates such as Cas14 and Casϕ represent promising alternatives for future diagnostic platforms. Owing to their smaller size, these proteins are easier to incorporate into compact devices, whereas their broader target recognition range and stronger collateral cleavage activity provide enhanced signal amplification. When coupled with high-throughput microfluidic systems, such as droplet-based platforms or microarray chips, and advanced encoding strategies, these CRISPR–Cas systems can enable simultaneous screening of dozens or even hundreds of pathogens or disease-related genes in a single test, thereby significantly improving detection efficiency and expanding the overall diagnostic value of CRISPR-based technologies.
Finally, standardization and commercialization remain crucial for translating microfluidics-integrated CRISPR–Cas diagnostic platforms from laboratory prototypes into practical applications. Future research efforts should not only focus on technical innovation but also address challenges in the establishment of standardized validation protocols, large-scale and cost-effective manufacturing, strict quality control, and long-term stability of reagents and microfluidic chips under diverse storage and transport conditions. In addition, the development of user-friendly interfaces and simplified workflows will be essential to meet the needs of clinicians and non-specialist users. To this end, close collaboration among academic researchers, clinicians, regulatory agencies, and industrial partners will be vital to ensure clinical reliability, regulatory approval, and promotion of market-ready products capable of deployment in both healthcare and community settings.
Overall, by advancing in these directions, microfluidics-integrated CRISPR–Cas diagnostics are poised to evolve into highly reliable, user-friendly, and globally accessible tools, with the potential to transform disease detection, public health surveillance, and precision medicine in the coming years.
| AI | Artificial intelligence |
| AFB1 | Aflatoxin B1 |
| ATP | Adenosine triphosphate |
| COF | Covalent organic framework |
| COVID-19 | Coronavirus disease 2019 |
| crRNA | CRISPR RNA |
| CRISPR | Clustered regularly interspaced short palindromic repeats |
| Cas | CRISPR-associated proteins |
| dLAMP | Digital loop-mediated isothermal amplification |
| DNA | Deoxyribonucleic acid |
| DON | Deoxynivalenol |
| E. coli | Escherichia coli |
| FB1 | Fumonisin B1 |
| GOx | Glucose oxidase |
| gRNA | Guide RNA |
| HPV | Human papillomavirus |
| HRSV | Human respiratory syncytial virus |
| LAMP | Loop-mediated isothermal amplification |
| LFD | Lateral flow dipstick |
| LOD | Limit of detection |
| MOF | Metal–organic framework |
| NGS | Next-generation sequencing |
| OTA | Ochratoxin A |
| PAM | Protospacer adjacent motif |
| PCR | Polymerase chain reaction |
| PFS | Protospacer flanking site |
| PMA | Propidium monoazide |
| PMMA | Poly(methyl methacrylate) |
| POC | Point-of-care |
| POCT | Point-of-care testing |
| QD | Quantum dot |
| RAA | Recombinase-aided amplification |
| RPA | Recombinase polymerase amplification |
| RT-PCR | Reverse transcription polymerase chain reaction |
| S. aureus | Staphylococcus aureus |
| ssDNA | Single-stranded DNA |
| ssRNA | Single-stranded RNA |
| SARS-CoV-2 | Severe acute respiratory syndrome coronavirus 2 |
| S. typhimurium | Salmonella typhimurium |
| ZEN | Zearalenone |
| μPAD | Microfluidic paper-based analytical device |
Footnote |
| † These authors contributed equally to this work. |
| This journal is © The Royal Society of Chemistry 2025 |