Smartphone-based autofluorescence imaging to detect bacterial species on laboratory surfaces-Reference-Cited by-同舟云学术

Smartphone-based autofluorescence imaging to detect bacterial species on laboratory surfaces

Published:2022 Issue:13 Volume:147 Page:2980-2987
ISSN:0003-2654
Container-title:The Analyst
language:en
Short-container-title:Analyst

Author:

Buchanan Bailey C.¹,Safavinia Babak¹,Wu Lillian¹,Yoon Jeong-Yeol¹^ORCID

Affiliation:

1. Department of Biomedical Engineering, The University of Arizona, Tucson, Arizona 85721, USA

Abstract

This work demonstrated instantaneous, reagent- and staining-free, smartphone-based autofluorescence detection of bacterial contamination on typical laboratory desk surfaces. Detection was successfully distinguished from protein, salt, and tap water.

Funder

University of Arizona

Arizona Board of Regents

Publisher

Royal Society of Chemistry (RSC)

Subject

Electrochemistry,Spectroscopy,Environmental Chemistry,Biochemistry,Analytical Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2022/AN/D2AN00358A

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