Smartphone-based fluorescence detection of bisphenol A from water samples
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Yoon_BPA_c6ra27726h.pdf
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Final Published Version
Affiliation
Department of Agricultural & Biosystems Engineering, The University of ArizonaDepartment of Biomedical Engineering, The University of Arizona
Issue Date
2017
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ROYAL SOC CHEMISTRYCitation
Smartphone-based fluorescence detection of bisphenol A from water samples 2017, 7 (15):9237 RSC Adv.Journal
RSC AdvancesRights
This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence. Copyright is held by the author(s) or the publisher. If your intended use exceeds the permitted uses specified by the license, contact the publisher for more information.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
Bisphenol A (BPA), an emerging environmental contaminant and endocrine disrupting compound, has been observed globally in surface water and waste leachates at concentrations that are hazardous to aquatic life and potentially to humans. Limitations in field monitoring on account of the extensive laboratory infrastructure required for standard BPA detection warrants investigation into portable or handheld sensing platforms. In this work, we evaluated a standalone smartphone-based fluorescence sensing method for identifying BPA from water samples. Toward this goal, we demonstrated the novel application of 8-hydroxypyrene-1,3,6-trisulfonic acid (HPTS) as a fluorescent probe with suitable specificity to BPA compared to functionally and structurally similar hormone and endocrine disrupting compounds. Using this method, bisphenol A was quantifiable through both standard fluorescence spectroscopy and smartphone detection, with an empirical binding constant of K-SV = 2040 M-1 and a direct, unfiltered detection limit of 4.4 mu M from unprocessed samples, suitable for waste leachate and industrial samples. Implementation of further digital image processing and smartphone spectroscopy methods may help to lower this detection limit, bearing promise for future direct detection of bisphenol A from wastewater leachate and environmental samples via smartphones.Note
Open Access Journal.ISSN
2046-2069Version
Final published versionSponsors
U.S. National Science Foundation Graduate Research Fellowship [DGE-1143953]; Undergraduate Biology Research Program at The University of Arizona; Western Alliance to Expand Student Opportunities (WAESO) at Arizona State UniversityAdditional Links
http://xlink.rsc.org/?DOI=C6RA27726Hae974a485f413a2113503eed53cd6c53
10.1039/C6RA27726H
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Except where otherwise noted, this item's license is described as This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence. Copyright is held by the author(s) or the publisher. If your intended use exceeds the permitted uses specified by the license, contact the publisher for more information.

