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Microfluidic and Paper-Based Recombinase Polymerase Amplification Systems for Decentralized Diagnostics and
Hsing-Meng Wang1, Sheng-Zhuo Lee1, Lung-Ming Fu1
1Department of Engineering Science, National Cheng Kung University, Tainan 701, Taiwan.
Recombinase polymerase amplification (RPA) offers rapid, field-deployable molecular diagnostics on microfluidic and paper platforms. Integrating AI and smartphone imaging enhances accuracy and accessibility for diverse applications.
Area of Science:
- Molecular Diagnostics
- Biotechnology
- Point-of-Care Testing
Background:
- Recombinase polymerase amplification (RPA) is a rapid, isothermal nucleic acid amplification method suitable for decentralized diagnostics.
- Microfluidic and paper-based platforms enable integrated sample handling, amplification, and readout in portable formats.
- RPA's mild temperature requirements and compatibility with microfluidics make it ideal for field-deployable molecular diagnostics.
Purpose of the Study:
- To review recent advancements in microfluidic and paper-based RPA systems.
- To highlight applications across biomedical diagnostics, food safety, environmental monitoring, and One Health.
- To discuss emerging trends in intelligent diagnostic formats and remaining challenges.
Main Methods:
- Review of integrated device architectures: centrifugal chips, capillary-driven platforms, microfluidic paper-based analysis devices (μPADs), electrochemical biosensors, CRISPR-assisted assays, digital microfluidics, and sample-to-answer cartridges.
- Examination of applications in various fields, including respiratory viruses, infectious diseases, cancer biomarkers, foodborne pathogens, and environmental surveillance.
- Analysis of emerging technologies like smartphone imaging, AI interpretation, and cloud connectivity.
Main Results:
- RPA systems are increasingly integrated into microfluidic and paper-based devices for diverse applications.
- Biomedical applications include detection of viruses, bacteria, parasites, and cancer biomarkers.
- Food safety and environmental monitoring applications cover pathogen detection, antimicrobial resistance, and airborne pathogen screening.
- Intelligent features such as AI and smartphone integration are enhancing diagnostic capabilities.
- Challenges remain in sample preparation, reagent stability, quantification, and regulatory validation.
Conclusions:
- Microfluidic and paper-based RPA platforms are advancing molecular diagnostics for field applications.
- The integration of advanced technologies like CRISPR and AI is improving diagnostic performance and accessibility.
- Addressing challenges in sample preparation, reagent stability, and regulatory pathways is crucial for widespread adoption.
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