Volume 2, 2023

Microfluidic-based colorimetric nucleic acid detection of pathogens

Abstract

Infectious diseases caused by pathogens put a significant burden on global health, as exemplified by the COVID-19 pandemic. There is a need for cost-effective detection techniques that ensure high sensitivity and specificity, comparable to standard methods. Point-of-care (POC) nucleic acid detection techniques provide low-cost, rapid solutions for congregate and remote settings. Microfluidic devices combined with colorimetric read-outs, as one of the portable and easy-to-interpret detection techniques, are apt for POC diagnostics. This paper reviews the most recent advances in colorimetric-based microfluidic devices for the nucleic-acid detection of viruses, bacteria, fungi, and protozoa including influenza, SARS-CoV-2, Listeria, Pseudomonas, Candida, and malaria. The characteristic features of devices, effectiveness of pathogen detection, analysis time, sensitivity and specificity of the results are discussed here. In addition, this paper offers an insight on the future avenues of microfluidic-based colorimetric detection, highlighting the necessary steps for achieving the high caliber set by gold standard techniques. This article suggests that the integration of plasmonic nanostructures with microfluidic devices will address the issue of sensitivity in today's colorimetric-based devices. Future work should also focus on addressing the need for an all-encompassing device, as well as the commercialization of devices to augment translation in clinical settings.

Graphical abstract: Microfluidic-based colorimetric nucleic acid detection of pathogens

Article information

Article type
Critical Review
Submitted
17 Oct 2022
Accepted
20 Mar 2023
First published
27 Mar 2023
This article is Open Access
Creative Commons BY-NC license

Sens. Diagn., 2023,2, 763-780

Microfluidic-based colorimetric nucleic acid detection of pathogens

S. G. Yedire, H. Khan, T. AbdelFatah, R. Siavash Moakhar and S. Mahshid, Sens. Diagn., 2023, 2, 763 DOI: 10.1039/D2SD00186A

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