Microfluidic Systems for Global Health and Point of Care Testing
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biosensors".
Deadline for manuscript submissions: closed (31 October 2023) | Viewed by 2728
Special Issue Editor
Special Issue Information
Dear Colleagues,
The recent global pandemic (COVID-19) has exposed some of the key limitations in our current health management system. Existing approaches rely on the use of bulky, power-intensive, complex, and expensive instrumentation that restricts the scale-up required for widespread and rapid testing. This introduces a considerable time lag between sample collection, diagnosis, and the implementation of countermeasures. A need, therefore, exists for inexpensive and robust tools that can be broadly deployed to accelerate diagnosis and provide real-time data to better inform decision making. Microfluidic technology enables the miniaturization and automation of several analytical processes that would conventionally require bulky and expensive benchtop laboratory instruments. It has enabled researchers to perform numerous parallel experiments rapidly while consuming minimal reagents in an extremely portable form factor with significant energy and cost savings. This has led to the emergence of the so-called “lab-on-chip” devices, making significant strides in diverse areas ranging from grand challenges such as water purification to fundamental research such as genetic analysis, organ on a chip, electrophoresis, molecular analysis, and pathogen detection. In this Special Issue, we seek original research papers, short communications, and review papers centered around the recent developments in microfluidics for global health and point of care testing.
Dr. Aashish Priye
Guest Editor
Manuscript Submission Information
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Keywords
- microfluidics
- lab-on-a-chip
- point-of-care diagnostics
- nucleic acid amplification tests
- paper microfluidics
- polymerase chain reaction (PCR)
- loop-mediated isothermal amplification (LAMP)
- biomarkers
- single-cell analysis