Fluorophores-Assisted Excitation Emission Matrix Fluorescence Method for the Origin Traceability of Lily
In this work, a fluorophores-assisted excitation/emission matrix (EEM) fluorescence method was proposed to trace the origin of lily in the Chinese market. There are few active components in lilies that have fluorescent signals, and too few characteristic variables may lead to unsatisfactory accuracy...
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MDPI AG
2023-08-01
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Online Access: | https://www.mdpi.com/2227-9040/11/8/426 |
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author | Huan Fang Hailong Wu Tong Wang Yao Chen Ruqin Yu |
author_facet | Huan Fang Hailong Wu Tong Wang Yao Chen Ruqin Yu |
author_sort | Huan Fang |
collection | DOAJ |
description | In this work, a fluorophores-assisted excitation/emission matrix (EEM) fluorescence method was proposed to trace the origin of lily in the Chinese market. There are few active components in lilies that have fluorescent signals, and too few characteristic variables may lead to unsatisfactory accuracy in the subsequent classification. Therefore, three fluorophores, 2-Aminoethyl diphenylborinate (DPBA), o-Phthalaldehyde (OPA) and Rhodamine B (RB), were used to enrich the information of the fluorescent fingerprint of lily, which can improve the classification accuracy. The lily samples were characterized by using EEM fluorescence coupled with the alternating trilinear decomposition (ATLD) algorithm, which was able to extract information of various fluorophores in lily samples. Two chemical pattern recognition methods, principal component analysis-linear discriminant analysis (PCA-LDA) and partial least squares-discrimination analysis (PLS-DA), were used to model and trace the origin of different lilies. When the fluorophores were added, the accuracy of the test set and prediction set obtained by the classification model increased from 71.4% to 92.9% and 66.7% to 100%, respectively. The proposed method combined fluorophores-assisted EEM fluorescence with multi-way chemometric methods to extract comprehensive information on the samples, which provided a potential method for the origin traceability of traditional Chinese medicine. |
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language | English |
last_indexed | 2024-03-11T00:02:53Z |
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spelling | doaj.art-f35565cdfb434aa6909f704b4482aabd2023-11-19T00:38:16ZengMDPI AGChemosensors2227-90402023-08-0111842610.3390/chemosensors11080426Fluorophores-Assisted Excitation Emission Matrix Fluorescence Method for the Origin Traceability of LilyHuan Fang0Hailong Wu1Tong Wang2Yao Chen3Ruqin Yu4State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, ChinaState Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, ChinaState Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, ChinaState Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, ChinaState Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, ChinaIn this work, a fluorophores-assisted excitation/emission matrix (EEM) fluorescence method was proposed to trace the origin of lily in the Chinese market. There are few active components in lilies that have fluorescent signals, and too few characteristic variables may lead to unsatisfactory accuracy in the subsequent classification. Therefore, three fluorophores, 2-Aminoethyl diphenylborinate (DPBA), o-Phthalaldehyde (OPA) and Rhodamine B (RB), were used to enrich the information of the fluorescent fingerprint of lily, which can improve the classification accuracy. The lily samples were characterized by using EEM fluorescence coupled with the alternating trilinear decomposition (ATLD) algorithm, which was able to extract information of various fluorophores in lily samples. Two chemical pattern recognition methods, principal component analysis-linear discriminant analysis (PCA-LDA) and partial least squares-discrimination analysis (PLS-DA), were used to model and trace the origin of different lilies. When the fluorophores were added, the accuracy of the test set and prediction set obtained by the classification model increased from 71.4% to 92.9% and 66.7% to 100%, respectively. The proposed method combined fluorophores-assisted EEM fluorescence with multi-way chemometric methods to extract comprehensive information on the samples, which provided a potential method for the origin traceability of traditional Chinese medicine.https://www.mdpi.com/2227-9040/11/8/426lilyfluorophores-assisted excitation-emission matrix fluorescencealternating trilinear decompositionchemometricsfluorophores |
spellingShingle | Huan Fang Hailong Wu Tong Wang Yao Chen Ruqin Yu Fluorophores-Assisted Excitation Emission Matrix Fluorescence Method for the Origin Traceability of Lily Chemosensors lily fluorophores-assisted excitation-emission matrix fluorescence alternating trilinear decomposition chemometrics fluorophores |
title | Fluorophores-Assisted Excitation Emission Matrix Fluorescence Method for the Origin Traceability of Lily |
title_full | Fluorophores-Assisted Excitation Emission Matrix Fluorescence Method for the Origin Traceability of Lily |
title_fullStr | Fluorophores-Assisted Excitation Emission Matrix Fluorescence Method for the Origin Traceability of Lily |
title_full_unstemmed | Fluorophores-Assisted Excitation Emission Matrix Fluorescence Method for the Origin Traceability of Lily |
title_short | Fluorophores-Assisted Excitation Emission Matrix Fluorescence Method for the Origin Traceability of Lily |
title_sort | fluorophores assisted excitation emission matrix fluorescence method for the origin traceability of lily |
topic | lily fluorophores-assisted excitation-emission matrix fluorescence alternating trilinear decomposition chemometrics fluorophores |
url | https://www.mdpi.com/2227-9040/11/8/426 |
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