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Eco-sustainable point-of-care devices: Progress in paper and fabric based electrochemical and colorimetric biosensors. | LitMetric

Eco-sustainable point-of-care devices: Progress in paper and fabric based electrochemical and colorimetric biosensors.

Talanta

Department of Sensor and Biomedical Technology, School of Electronics Engineering (SENSE), Vellore Institute of Technology, Vellore, 632014, India. Electronic address:

Published: December 2024

AI Article Synopsis

Article Abstract

Monitoring real-time health conditions is a rinsing demand in a pandemic prone era. Wearable Point-of-Care (POC) devices with paper and fabric-based sensors are emerging as simple, low-cost, portable, and disposable analytical tools for development of green POC devices (GPOCDs). Capabilities of passive fluid transportation, compatibility with biochemical analytes, disposability and high degree of tunability using vivid device fabrication strategies enables development of highly sensitive and economically feasible POC sensors in particularly post COVID-19 pandemic outbreak. Herein we focus mainly on development of biosensors for testing body fluids in the last 5 years using microfluidic technique through electrochemical and colorimetric principle which forms the two most competing sensing techniques providing quantitative and qualitative assessment modalities respectively and forms almost 80 % of the diagnostic platform worldwide. Present review highlights use of these popular substrates as well as various fabrication strategies for realization of GPOCDs ranging from costly and highly sophisticated photolithography to low cost, non conventional techniques like use of correction ink or marker based devices to even novel pop-up/origami induced patterning techniques. Insights into the advancements in colorimetric technique like distance, count or even text based semi-quantitative read-out modality as a on-hand diagnostic information has also been provided. Finally, future outlooks with other interdisciplinary modalities like use of novel materials, incorporation of digital tools like artificial intelligence (AI), machine learning (ML) and strategies for sensitivity and reliability improvement of future GPOCDs have also been discussed.

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http://dx.doi.org/10.1016/j.talanta.2024.127397DOI Listing

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