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A novel method for detection of camellia oil adulteration based on time-resolved emission fluorescence

In this study, time-resolved emission fluorescence (TRES) combined with chemometrics was developed and employed for adulteration analysis of camellia oil. TRES was first decomposed by parallel factors analysis (PARAFAC). Next, an artificial neural network (ANN) model was built for the adulteration a...

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Autores principales: Chen, Hui, Chen, Bin, Lu, Daoli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6137195/
https://www.ncbi.nlm.nih.gov/pubmed/30213988
http://dx.doi.org/10.1038/s41598-018-32223-6
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author Chen, Hui
Chen, Bin
Lu, Daoli
author_facet Chen, Hui
Chen, Bin
Lu, Daoli
author_sort Chen, Hui
collection PubMed
description In this study, time-resolved emission fluorescence (TRES) combined with chemometrics was developed and employed for adulteration analysis of camellia oil. TRES was first decomposed by parallel factors analysis (PARAFAC). Next, an artificial neural network (ANN) model was built for the adulteration analysis. A linear range of 5–50%, a limit of detection (LOD) of 3% and root mean square error of prediction (RMSEP) values lower than 3% were achieved. Compared with the steady-state measurement, easy access to the information from fluorophores of low concentration was shown to be an intrinsic advantage of the time-resolved measurement; this advantageous characteristic was helpful for optimizing adulteration analysis. It was demonstrated that TRES combined with chemometrics was a simple, rapid and non-intrusive method for adulteration analysis of vegetable oil.
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spelling pubmed-61371952018-09-15 A novel method for detection of camellia oil adulteration based on time-resolved emission fluorescence Chen, Hui Chen, Bin Lu, Daoli Sci Rep Article In this study, time-resolved emission fluorescence (TRES) combined with chemometrics was developed and employed for adulteration analysis of camellia oil. TRES was first decomposed by parallel factors analysis (PARAFAC). Next, an artificial neural network (ANN) model was built for the adulteration analysis. A linear range of 5–50%, a limit of detection (LOD) of 3% and root mean square error of prediction (RMSEP) values lower than 3% were achieved. Compared with the steady-state measurement, easy access to the information from fluorophores of low concentration was shown to be an intrinsic advantage of the time-resolved measurement; this advantageous characteristic was helpful for optimizing adulteration analysis. It was demonstrated that TRES combined with chemometrics was a simple, rapid and non-intrusive method for adulteration analysis of vegetable oil. Nature Publishing Group UK 2018-09-13 /pmc/articles/PMC6137195/ /pubmed/30213988 http://dx.doi.org/10.1038/s41598-018-32223-6 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Chen, Hui
Chen, Bin
Lu, Daoli
A novel method for detection of camellia oil adulteration based on time-resolved emission fluorescence
title A novel method for detection of camellia oil adulteration based on time-resolved emission fluorescence
title_full A novel method for detection of camellia oil adulteration based on time-resolved emission fluorescence
title_fullStr A novel method for detection of camellia oil adulteration based on time-resolved emission fluorescence
title_full_unstemmed A novel method for detection of camellia oil adulteration based on time-resolved emission fluorescence
title_short A novel method for detection of camellia oil adulteration based on time-resolved emission fluorescence
title_sort novel method for detection of camellia oil adulteration based on time-resolved emission fluorescence
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6137195/
https://www.ncbi.nlm.nih.gov/pubmed/30213988
http://dx.doi.org/10.1038/s41598-018-32223-6
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