Work

Smartphone-based sensitive detection of SARS-CoV-2 from saline gargle samples via flow profile analysis on a paper microfluidic chip

Year: 2022

Type: article

Source: Biosensors and Bioelectronics

DOI: 10.1016/j.bios.2022.114192

Authors: Patarajarin Akarapipad, Kattika Kaarj, Lane E. Breshears, Katelyn Sosnowski, Jacob Baker, Brandon T. Nguyen, Ciara Eades, Jennifer L. Uhrlaub, Grace Quirk, Janko Nikolich-Žugich, Michael Worobey, Jeong-Yeol Yoon

Institution: University of Arizona

Language: English

Topic: Biosensors and Analytical Detection

Subfield: Biomedical Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: bronze

Funders: University of Arizona, National Institute of General Medical Sciences

Award: Computational and mathematical modeling of biomedical systems

OpenAlex ID: W4220807776

FWCI: 3.266

Cites: 23

Cited by: 47

Related to: 10