Smartphone-based fluorescence detection of bisphenol A from water samples
AffiliationDepartment of Agricultural & Biosystems Engineering, The University of Arizona
Department of Biomedical Engineering, The University of Arizona
MetadataShow full item record
PublisherROYAL SOC CHEMISTRY
CitationSmartphone-based fluorescence detection of bisphenol A from water samples 2017, 7 (15):9237 RSC Adv.
RightsThis article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence.
Collection InformationThis 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 email@example.com.
AbstractBisphenol 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.
NoteOpen Access Journal.
VersionFinal published version
SponsorsU.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 University