Distance versus Capillary Flow Dynamics‐Based Detection Methods on a Microfluidic Paper‐Based Analytical Device (μPAD)
العنوان: | Distance versus Capillary Flow Dynamics‐Based Detection Methods on a Microfluidic Paper‐Based Analytical Device (μPAD) |
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المؤلفون: | Jeong Yeol Yoon, Soo Chung, Christian M. Jennings |
المصدر: | Chemistry – A European Journal. 25:13070-13077 |
بيانات النشر: | Wiley, 2019. |
سنة النشر: | 2019 |
مصطلحات موضوعية: | Medical diagnostic, High interest, 010405 organic chemistry, Capillary action, Chemistry, Organic Chemistry, Microfluidics, Nanotechnology, General Chemistry, Electrochemical detection, Paper based, 010402 general chemistry, 01 natural sciences, Catalysis, 0104 chemical sciences, Ambient lighting, Liquid flow |
الوصف: | In recent years, there has been high interest in paper-based microfluidic sensors or microfluidic paper-based analytical devices (μPADs) towards low-cost, portable, and easy-to-use sensing for chemical and biological targets. μPAD allows spontaneous liquid flow without any external or internal pumping, as well as an innate filtration capability. Although both optical (colorimetric and fluorescent) and electrochemical detection have been demonstrated on μPADs, several limitations still remain, such as the need for additional equipment, vulnerability to ambient lighting perturbation, and inferior sensitivity. Herein, alternative detection methods on μPADs are reviewed to resolve these issues, including relatively well studied distance-based measurements and the newer capillary flow dynamics-based method. Detection principles, assay performance, strengths, and weaknesses are explained for these methods, along with their potential future applications towards point-of-care medical diagnostics and other field-based applications. |
تدمد: | 1521-3765 0947-6539 |
URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2828db14947a88cfabf1c9c0bb339b1 https://doi.org/10.1002/chem.201901514 |
حقوق: | CLOSED |
رقم الأكسشن: | edsair.doi.dedup.....f2828db14947a88cfabf1c9c0bb339b1 |
قاعدة البيانات: | OpenAIRE |
تدمد: | 15213765 09476539 |
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