Traceability of Rizhao green tea origin based on multispectral data fusion strategy and chemometrics

This study proposes a novel method that combines multispectral data fusion strategies with chemometric analysis for the origin traceability of Rizhao green tea. The research found significant differences in the sensory scores and key physicochemical components (catechins, caffeine, and amino acid co...

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Main Authors: Mengqi Guo, Zhiwei Chen, Zezhong Ding, Dewen Wang, Dandan Qi, Min Lu, Mei Wang, Chunwang Dong
Format: Article
Language:English
Published: Elsevier 2025-04-01
Series:Food Chemistry: X
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2590157525001932
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author Mengqi Guo
Zhiwei Chen
Zezhong Ding
Dewen Wang
Dandan Qi
Min Lu
Mei Wang
Chunwang Dong
author_facet Mengqi Guo
Zhiwei Chen
Zezhong Ding
Dewen Wang
Dandan Qi
Min Lu
Mei Wang
Chunwang Dong
author_sort Mengqi Guo
collection DOAJ
description This study proposes a novel method that combines multispectral data fusion strategies with chemometric analysis for the origin traceability of Rizhao green tea. The research found significant differences in the sensory scores and key physicochemical components (catechins, caffeine, and amino acid content) between Rizhao green tea and tea from southern China. By integrating data from near-infrared and hyperspectral technologies, the prediction accuracy of multivariate models (including Partial Least Squares Regression (PLSR), Support Vector Regression (SVR), Random Forest (RF), and Convolutional Neural Networks (CNN)) was improved. The performance of the fused dataset outperformed single-spectral datasets. The study found significant spectral differences in tea samples from different regions, leading to robust differentiation. Both SVM and RF discriminant models based on near-infrared spectral data achieved 100 % accuracy. This method provides a reliable and efficient tool for green tea traceability, with potential applications in quality control and authenticity verification within the tea industry.
format Article
id doaj-art-8a82b08e53214d9cb92d32a76d16bc14
institution OA Journals
issn 2590-1575
language English
publishDate 2025-04-01
publisher Elsevier
record_format Article
series Food Chemistry: X
spelling doaj-art-8a82b08e53214d9cb92d32a76d16bc142025-08-20T02:30:50ZengElsevierFood Chemistry: X2590-15752025-04-012710234610.1016/j.fochx.2025.102346Traceability of Rizhao green tea origin based on multispectral data fusion strategy and chemometricsMengqi Guo0Zhiwei Chen1Zezhong Ding2Dewen Wang3Dandan Qi4Min Lu5Mei Wang6Chunwang Dong7Tea Research Institute, Academy of Agricultural Machinery Sciences, Shandong Academy of Agricultural Sciences, Jinan 250100, ChinaTea Research Institute, Academy of Agricultural Machinery Sciences, Shandong Academy of Agricultural Sciences, Jinan 250100, ChinaTea Research Institute, Academy of Agricultural Machinery Sciences, Shandong Academy of Agricultural Sciences, Jinan 250100, ChinaTea Research Institute, Academy of Agricultural Machinery Sciences, Shandong Academy of Agricultural Sciences, Jinan 250100, ChinaTea Research Institute, Academy of Agricultural Machinery Sciences, Shandong Academy of Agricultural Sciences, Jinan 250100, ChinaTea Research Institute, Academy of Agricultural Machinery Sciences, Shandong Academy of Agricultural Sciences, Jinan 250100, ChinaCorresponding author.; Tea Research Institute, Academy of Agricultural Machinery Sciences, Shandong Academy of Agricultural Sciences, Jinan 250100, ChinaCorresponding author.; Tea Research Institute, Academy of Agricultural Machinery Sciences, Shandong Academy of Agricultural Sciences, Jinan 250100, ChinaThis study proposes a novel method that combines multispectral data fusion strategies with chemometric analysis for the origin traceability of Rizhao green tea. The research found significant differences in the sensory scores and key physicochemical components (catechins, caffeine, and amino acid content) between Rizhao green tea and tea from southern China. By integrating data from near-infrared and hyperspectral technologies, the prediction accuracy of multivariate models (including Partial Least Squares Regression (PLSR), Support Vector Regression (SVR), Random Forest (RF), and Convolutional Neural Networks (CNN)) was improved. The performance of the fused dataset outperformed single-spectral datasets. The study found significant spectral differences in tea samples from different regions, leading to robust differentiation. Both SVM and RF discriminant models based on near-infrared spectral data achieved 100 % accuracy. This method provides a reliable and efficient tool for green tea traceability, with potential applications in quality control and authenticity verification within the tea industry.http://www.sciencedirect.com/science/article/pii/S2590157525001932Rizhao green teaOrigin traceabilityMultispectralData fusionChemometrics
spellingShingle Mengqi Guo
Zhiwei Chen
Zezhong Ding
Dewen Wang
Dandan Qi
Min Lu
Mei Wang
Chunwang Dong
Traceability of Rizhao green tea origin based on multispectral data fusion strategy and chemometrics
Food Chemistry: X
Rizhao green tea
Origin traceability
Multispectral
Data fusion
Chemometrics
title Traceability of Rizhao green tea origin based on multispectral data fusion strategy and chemometrics
title_full Traceability of Rizhao green tea origin based on multispectral data fusion strategy and chemometrics
title_fullStr Traceability of Rizhao green tea origin based on multispectral data fusion strategy and chemometrics
title_full_unstemmed Traceability of Rizhao green tea origin based on multispectral data fusion strategy and chemometrics
title_short Traceability of Rizhao green tea origin based on multispectral data fusion strategy and chemometrics
title_sort traceability of rizhao green tea origin based on multispectral data fusion strategy and chemometrics
topic Rizhao green tea
Origin traceability
Multispectral
Data fusion
Chemometrics
url http://www.sciencedirect.com/science/article/pii/S2590157525001932
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