Rapid and simultaneous determination of mixed pesticide residues in apple using SERS coupled with multivariate analysis

This study aims to apply multivariate analysis algorithms for modeling the same spectra, for simultaneous determination of pymetrozine and carbendazim residues in apple. To mitigate the impact of competitive adsorption, SERS spectra are obtained from mixed solutions of pymetrozine and carbendazim at...

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Main Authors: Ting-feng Shi, Ting-tiao Pan, Ping Lu
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Food Chemistry: X
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2590157524008423
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author Ting-feng Shi
Ting-tiao Pan
Ping Lu
author_facet Ting-feng Shi
Ting-tiao Pan
Ping Lu
author_sort Ting-feng Shi
collection DOAJ
description This study aims to apply multivariate analysis algorithms for modeling the same spectra, for simultaneous determination of pymetrozine and carbendazim residues in apple. To mitigate the impact of competitive adsorption, SERS spectra are obtained from mixed solutions of pymetrozine and carbendazim at varying concentration ratios, which are then utilized for modeling. Results suggest that the PLSR model based on full-band SNV processed spectra shows the best performance for predicting pymetrozine and carbendazim contents, with R2 p of 0.9751 and 0.9779, RMSEP of 0.0492 and 0.5531 mg/L, RPD of 6.4297 and 6.8246, respectively. This model yielded R2 p of 0.9644 and 0.9671, RMSEP of 0.0747 and 0.8247 mg/L, RPD of 5.3857 and 5.6066 for pymetrozine and carbendazim in apple, respectively. The findings suggest that the proposed approach is suitable for simultaneous detection of pymetrozine and carbendazim in apples, offering a novel avenue for monitoring food safety.
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issn 2590-1575
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series Food Chemistry: X
spelling doaj-art-444b0b3ec32149efab9031d7f95bcfc52024-12-13T11:01:58ZengElsevierFood Chemistry: X2590-15752024-12-0124101954Rapid and simultaneous determination of mixed pesticide residues in apple using SERS coupled with multivariate analysisTing-feng Shi0Ting-tiao Pan1Ping Lu2State Key Laboratory of Green Pesticide, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Center for R&D of Fine Chemicals of Guizhou University, Guiyang 550025, ChinaCorresponding authors at: State Key Laboratory of Green Pesticide, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Center for R&D of Fine Chemicals of Guizhou University, Guiyang 550025, China.; State Key Laboratory of Green Pesticide, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Center for R&D of Fine Chemicals of Guizhou University, Guiyang 550025, ChinaCorresponding authors at: State Key Laboratory of Green Pesticide, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Center for R&D of Fine Chemicals of Guizhou University, Guiyang 550025, China.; State Key Laboratory of Green Pesticide, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Center for R&D of Fine Chemicals of Guizhou University, Guiyang 550025, ChinaThis study aims to apply multivariate analysis algorithms for modeling the same spectra, for simultaneous determination of pymetrozine and carbendazim residues in apple. To mitigate the impact of competitive adsorption, SERS spectra are obtained from mixed solutions of pymetrozine and carbendazim at varying concentration ratios, which are then utilized for modeling. Results suggest that the PLSR model based on full-band SNV processed spectra shows the best performance for predicting pymetrozine and carbendazim contents, with R2 p of 0.9751 and 0.9779, RMSEP of 0.0492 and 0.5531 mg/L, RPD of 6.4297 and 6.8246, respectively. This model yielded R2 p of 0.9644 and 0.9671, RMSEP of 0.0747 and 0.8247 mg/L, RPD of 5.3857 and 5.6066 for pymetrozine and carbendazim in apple, respectively. The findings suggest that the proposed approach is suitable for simultaneous detection of pymetrozine and carbendazim in apples, offering a novel avenue for monitoring food safety.http://www.sciencedirect.com/science/article/pii/S2590157524008423Simultaneous detectionMulti-residue analysisChemometricsMultivariate analysisSERS
spellingShingle Ting-feng Shi
Ting-tiao Pan
Ping Lu
Rapid and simultaneous determination of mixed pesticide residues in apple using SERS coupled with multivariate analysis
Food Chemistry: X
Simultaneous detection
Multi-residue analysis
Chemometrics
Multivariate analysis
SERS
title Rapid and simultaneous determination of mixed pesticide residues in apple using SERS coupled with multivariate analysis
title_full Rapid and simultaneous determination of mixed pesticide residues in apple using SERS coupled with multivariate analysis
title_fullStr Rapid and simultaneous determination of mixed pesticide residues in apple using SERS coupled with multivariate analysis
title_full_unstemmed Rapid and simultaneous determination of mixed pesticide residues in apple using SERS coupled with multivariate analysis
title_short Rapid and simultaneous determination of mixed pesticide residues in apple using SERS coupled with multivariate analysis
title_sort rapid and simultaneous determination of mixed pesticide residues in apple using sers coupled with multivariate analysis
topic Simultaneous detection
Multi-residue analysis
Chemometrics
Multivariate analysis
SERS
url http://www.sciencedirect.com/science/article/pii/S2590157524008423
work_keys_str_mv AT tingfengshi rapidandsimultaneousdeterminationofmixedpesticideresiduesinappleusingserscoupledwithmultivariateanalysis
AT tingtiaopan rapidandsimultaneousdeterminationofmixedpesticideresiduesinappleusingserscoupledwithmultivariateanalysis
AT pinglu rapidandsimultaneousdeterminationofmixedpesticideresiduesinappleusingserscoupledwithmultivariateanalysis