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Detection and Quantification of Bisphenol A in Surface Water Using Absorbance–Transmittance and Fluorescence Excitation–Emission Matrices (A-TEEM) Coupled with Multiway Techniques
In the present protocol, we determined the presence and concentrations of bisphenol A (BPA) spiked in surface water samples using EEM fluorescence spectroscopy in conjunction with modelling using partial least squares (PLS) and parallel factor (PARAFAC). PARAFAC modelling of the EEM fluorescence dat...
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Published in: | Molecules (Basel, Switzerland) Switzerland), 2023-10, Vol.28 (20), p.7048 |
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description | In the present protocol, we determined the presence and concentrations of bisphenol A (BPA) spiked in surface water samples using EEM fluorescence spectroscopy in conjunction with modelling using partial least squares (PLS) and parallel factor (PARAFAC). PARAFAC modelling of the EEM fluorescence data obtained from surface water samples contaminated with BPA unraveled four fluorophores including BPA. The best outcomes were obtained for BPA concentration (R2 = 0.996; standard deviation to prediction error’s root mean square ratio (RPD) = 3.41; and a Pearson’s r value of 0.998). With these values of R2 and Pearson’s r, the PLS model showed a strong correlation between the predicted and measured BPA concentrations. The detection and quantification limits of the method were 3.512 and 11.708 micro molar (µM), respectively. In conclusion, BPA can be precisely detected and its concentration in surface water predicted using the PARAFAC and PLS models developed in this study and fluorescence EEM data collected from BPA-contaminated water. It is necessary to spatially relate surface water contamination data with other datasets in order to connect drinking water quality issues with health, environmental restoration, and environmental justice concerns. |
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The detection and quantification limits of the method were 3.512 and 11.708 micro molar (µM), respectively. In conclusion, BPA can be precisely detected and its concentration in surface water predicted using the PARAFAC and PLS models developed in this study and fluorescence EEM data collected from BPA-contaminated water. It is necessary to spatially relate surface water contamination data with other datasets in order to connect drinking water quality issues with health, environmental restoration, and environmental justice concerns.</description><identifier>ISSN: 1420-3049</identifier><identifier>EISSN: 1420-3049</identifier><identifier>DOI: 10.3390/molecules28207048</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Algorithms ; and validation ; Aquatic resources ; Bisphenol A ; Calibration ; Epoxy resins ; Fluorescence ; Literature reviews ; method development ; Methods ; optimisation ; parallel factor modelling ; partial least squares modelling ; Phenols ; Polycarbonates ; South Africa ; Spectrum analysis ; Surface water ; Water pollution</subject><ispartof>Molecules (Basel, Switzerland), 2023-10, Vol.28 (20), p.7048</ispartof><rights>COPYRIGHT 2023 MDPI AG</rights><rights>2023 by the authors. Licensee MDPI, Basel, Switzerland. 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I.</creatorcontrib><creatorcontrib>Gilmore, Adam M.</creatorcontrib><title>Detection and Quantification of Bisphenol A in Surface Water Using Absorbance–Transmittance and Fluorescence Excitation–Emission Matrices (A-TEEM) Coupled with Multiway Techniques</title><title>Molecules (Basel, Switzerland)</title><description>In the present protocol, we determined the presence and concentrations of bisphenol A (BPA) spiked in surface water samples using EEM fluorescence spectroscopy in conjunction with modelling using partial least squares (PLS) and parallel factor (PARAFAC). PARAFAC modelling of the EEM fluorescence data obtained from surface water samples contaminated with BPA unraveled four fluorophores including BPA. The best outcomes were obtained for BPA concentration (R2 = 0.996; standard deviation to prediction error’s root mean square ratio (RPD) = 3.41; and a Pearson’s r value of 0.998). With these values of R2 and Pearson’s r, the PLS model showed a strong correlation between the predicted and measured BPA concentrations. The detection and quantification limits of the method were 3.512 and 11.708 micro molar (µM), respectively. In conclusion, BPA can be precisely detected and its concentration in surface water predicted using the PARAFAC and PLS models developed in this study and fluorescence EEM data collected from BPA-contaminated water. It is necessary to spatially relate surface water contamination data with other datasets in order to connect drinking water quality issues with health, environmental restoration, and environmental justice concerns.</description><subject>Algorithms</subject><subject>and validation</subject><subject>Aquatic resources</subject><subject>Bisphenol A</subject><subject>Calibration</subject><subject>Epoxy resins</subject><subject>Fluorescence</subject><subject>Literature reviews</subject><subject>method development</subject><subject>Methods</subject><subject>optimisation</subject><subject>parallel factor modelling</subject><subject>partial least squares modelling</subject><subject>Phenols</subject><subject>Polycarbonates</subject><subject>South Africa</subject><subject>Spectrum analysis</subject><subject>Surface water</subject><subject>Water pollution</subject><issn>1420-3049</issn><issn>1420-3049</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNplksFu1DAQhiMEEqXwANwscSmHFDuxN84JLcsWKnWFEFtxjCbOeNerxF5sh9Ib78DD8D48Cc5uhSjIB3t-__ONPZose87oeVnW9NXgelRjj6GQBa0olw-yE8YLmpeU1w__Oj_OnoSwo7RgnImT7OdbjKiicZaA7cjHEWw02ig4SE6TNybst2hdT-bEWPJp9BoUks8Q0ZPrYOyGzNvgfAtW4a_vP9YebBhMjFN8YF70o_MYFE7C8psy8QBP3uVgQpjqrCB6ozCQs3m-Xi5XL8nCjfseO3Jj4pasxj6aG7gla1Rba76MGJ5mjzT0AZ_d7afZ9cVyvXifX314d7mYX-VKMBrzSrSCK1pJpqEFySTruNKsbNsOO9WhkDPOVSU5Ks1ngpYlrbqqKEqmWa1oW55ml0du52DX7L0ZwN82DkxzEJzfNOCjUT02NUgNuhMt62qeKLVAThnVkgHUooDEen1k7cd2SOXRRg_9Pej9G2u2zcZ9bRid0YQUiXB2R_Bu6kJsUgcV9j1YdGNoCilLIXnFabK--Me6c6O3qVeTq5jRshKT6_zo2kD6gbHapcIqrQ4Ho5xFbZI-r6qC1ZVgRUpgxwTlXQge9Z_nM9pMk9j8N4nlb5Vc2Vo</recordid><startdate>20231001</startdate><enddate>20231001</enddate><creator>Ingwani, Thomas</creator><creator>Chaukura, Nhamo</creator><creator>Mamba, Bhekie B.</creator><creator>Nkambule, Thabo T. 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I.</au><au>Gilmore, Adam M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Detection and Quantification of Bisphenol A in Surface Water Using Absorbance–Transmittance and Fluorescence Excitation–Emission Matrices (A-TEEM) Coupled with Multiway Techniques</atitle><jtitle>Molecules (Basel, Switzerland)</jtitle><date>2023-10-01</date><risdate>2023</risdate><volume>28</volume><issue>20</issue><spage>7048</spage><pages>7048-</pages><issn>1420-3049</issn><eissn>1420-3049</eissn><abstract>In the present protocol, we determined the presence and concentrations of bisphenol A (BPA) spiked in surface water samples using EEM fluorescence spectroscopy in conjunction with modelling using partial least squares (PLS) and parallel factor (PARAFAC). PARAFAC modelling of the EEM fluorescence data obtained from surface water samples contaminated with BPA unraveled four fluorophores including BPA. The best outcomes were obtained for BPA concentration (R2 = 0.996; standard deviation to prediction error’s root mean square ratio (RPD) = 3.41; and a Pearson’s r value of 0.998). With these values of R2 and Pearson’s r, the PLS model showed a strong correlation between the predicted and measured BPA concentrations. The detection and quantification limits of the method were 3.512 and 11.708 micro molar (µM), respectively. In conclusion, BPA can be precisely detected and its concentration in surface water predicted using the PARAFAC and PLS models developed in this study and fluorescence EEM data collected from BPA-contaminated water. It is necessary to spatially relate surface water contamination data with other datasets in order to connect drinking water quality issues with health, environmental restoration, and environmental justice concerns.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/molecules28207048</doi><orcidid>https://orcid.org/0000-0001-7797-6915</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Algorithms and validation Aquatic resources Bisphenol A Calibration Epoxy resins Fluorescence Literature reviews method development Methods optimisation parallel factor modelling partial least squares modelling Phenols Polycarbonates South Africa Spectrum analysis Surface water Water pollution |
title | Detection and Quantification of Bisphenol A in Surface Water Using Absorbance–Transmittance and Fluorescence Excitation–Emission Matrices (A-TEEM) Coupled with Multiway Techniques |
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