Flow rate profile based PFAS detection on smartphone- and paper-based microfluidics
Affiliation
University of Arizona, Department of Biomedical EngineeringUniversity of Arizona, Mel and Enid College of Public Health
Issue Date
2022-09
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IEEECitation
Yoon, J.-Y., Breshears, L. E., Mata-Robles, S., & Reynolds, K. A. (2022). Flow rate profile based PFAS detection on smartphone- and paper-based microfluidics. 2022 IEEE Research and Applications of Photonics in Defense Conference, RAPID 2022 - Proceedings.Journal
2022 IEEE Research and Applications of Photonics in Defense Conference, RAPID 2022 - ProceedingsRights
© 2022 IEEE.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
Sensitive detection of PFOA, type of PFAS (perfluorinated-alkyl substances), was demonstrated on paper-based microfluidic chip utilizing competitive binding with albumin or casein and cellulose fibers. It altered the capillary flow rate profile and monitored by a smartphone camera. Detection limit was 1-10 fg/μL (1-10 ppt).Note
Immediate accessVersion
Final accepted manuscriptae974a485f413a2113503eed53cd6c53
10.1109/rapid54472.2022.9911269