Imperial College London
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Dr Ali K. Yetisen

Faculty of Engineering, Department of Chemical Engineering

Senior Lecturer
 
 
 
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Contact

 

+44 (0)20 7594 5562a.yetisen Website

 
 
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Location

 

507ACE ExtensionSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Jiang:2021:10.1021/acssensors.1c00669,
author = {Jiang, N and Tansukawat, ND and Gonzalez-Macia, L and Ates, HC and Dincer, C and Guder, F and Tasoglu, S and Yetisen, AK},
doi = {10.1021/acssensors.1c00669},
journal = {ACS Sensors},
pages = {2108--2124},
title = {Low-cost optical assays for point-of-care diagnosis in resource-limited settings},
url = {http://dx.doi.org/10.1021/acssensors.1c00669},
volume = {6},
year = {2021}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Readily deployable, low-cost point-of-care medical devices such as lateral flow assays (LFAs), microfluidic paper-based analytical devices (μPADs), and microfluidic thread-based analytical devices (μTADs) are urgently needed in resource-poor settings. Governed by the ASSURED criteria (affordable, sensitive, specific, user-friendly, rapid and robust, equipment-free, and deliverability) set by the World Health Organization, these reliable platforms can screen a myriad of chemical and biological analytes including viruses, bacteria, proteins, electrolytes, and narcotics. The Ebola epidemic in 2014 and the ongoing pandemic of SARS-CoV-2 have exemplified the ever-increasing importance of timely diagnostics to limit the spread of diseases. This review provides a comprehensive survey of LFAs, μPADs, and μTADs that can be deployed in resource-limited settings. The subsequent commercialization of these technologies will benefit the public health, especially in areas where access to healthcare is limited.
AU  - Jiang,N
AU  - Tansukawat,ND
AU  - Gonzalez-Macia,L
AU  - Ates,HC
AU  - Dincer,C
AU  - Guder,F
AU  - Tasoglu,S
AU  - Yetisen,AK
DO  - 10.1021/acssensors.1c00669
EP  - 2124
PY  - 2021///
SN  - 2379-3694
SP  - 2108
TI  - Low-cost optical assays for point-of-care diagnosis in resource-limited settings
T2  - ACS Sensors
UR  - http://dx.doi.org/10.1021/acssensors.1c00669
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000668374500007&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - https://pubs.acs.org/doi/10.1021/acssensors.1c00669
VL  - 6
ER  -
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