Challenges and perspectives in the development of paper-based lateral flow assays
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Shiddiky, Muhammad JA
Nam-Trung, Nguyen
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Abstract
Lateral flow assays (LFAs) have been introduced and developed over the last half century. This technology is widely used as a tool for diagnosis in several fields such as environment, food quality and healthcare. Point-of-care (POC) diagnosis using LFAs has been attracting attention of the research community, particularly aiming for the development of a platform that can evaluate of biological markers in bodily fluids such as saliva and urine. The existence of a disease or the pregnancy can be determined by a test device, before further investigation and medical treatment. LFAs make use of a disposable test strip, which can provide diagnosis result on the spot within minutes. Thus, LFAs is a promising alternative of preliminary diagnosis for laboratory instruments that are costly, time consuming and require trained personnel. This paper includes a brief overview of the conventional LFAs: material selection based on its roles and characteristics, working principles, fundamentals, applications, and design criteria. We mainly discuss the technical challenges in both engineering and biochemical aspects and recommends possible solutions. We identify current research trends and provide perspectives of advanced technologies for enhancing assay performance.
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Microfluidics and Nanofluidics
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24
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2
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© 2020 Springer Berlin Heidelberg. This is an electronic version of an article published in Microfluidics and Nanofluidics, 2020, 24 (2), pp. 17:1-17:18. Microfluidics and Nanofluidics is available online at: http://link.springer.com/ with the open URL of your article.
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Mechanical engineering
Other engineering
Nanotechnology
Fluid mechanics and thermal engineering
Science & Technology
Physical Sciences
Instruments & Instrumentation
Nanoscience
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Kasetsirikul, S; Shiddiky, MJA; Nam-Trung, N, Challenges and perspectives in the development of paper-based lateral flow assays, Microfluidics and Nanofluidics, 2020, 24 (2)