Development and Validation of Near-Infrared Methods for the Quantitation of Caffeine, Epigallocatechin-3-gallate, and Moisture in Green Tea Production
The quality of tea leaves (e.g., their color, appearance, and taste) can be directly influenced by the tea production process, which is closely connected with the content of a number of chemical components formed during the production of the tea leaves. However, the production process is now control...
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Format: | Article |
Language: | English |
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Wiley
2021-01-01
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Series: | Journal of Analytical Methods in Chemistry |
Online Access: | http://dx.doi.org/10.1155/2021/9563162 |
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author | Shengsheng Zhang Yamin Zuo Qing Wu Jiao Wang Lin Ban Huili Yang Zhiwen Bai |
author_facet | Shengsheng Zhang Yamin Zuo Qing Wu Jiao Wang Lin Ban Huili Yang Zhiwen Bai |
author_sort | Shengsheng Zhang |
collection | DOAJ |
description | The quality of tea leaves (e.g., their color, appearance, and taste) can be directly influenced by the tea production process, which is closely connected with the content of a number of chemical components formed during the production of the tea leaves. However, the production process is now controlled by people's experience, making its quality significantly different. NIRS is a time-saving, cost-saving, and nondestructive method. Therefore, it is necessary to introduce NIRS technology into the quality control of the tea production process. In this study, a quantitative analysis model of caffeine, epigallocatechin-3-gallate (EGCG), and moisture content was established by near-infrared spectroscopy (NIRS) which was united simultaneously with partial least squares (PLSR) for online process monitoring of tea production. The model parameters show that the established model has fine robustness and outstanding measuring accuracy. Then, the feasibility of the established method is verified by the traditional method. Through the verification of the precision of the instrument and the stability of the sample, it is clarified that the model can be further utilized to monitor tea product quality online in a productive process. |
format | Article |
id | doaj-art-5b6701e70a6049069e4186a704d413f0 |
institution | Kabale University |
issn | 2090-8873 |
language | English |
publishDate | 2021-01-01 |
publisher | Wiley |
record_format | Article |
series | Journal of Analytical Methods in Chemistry |
spelling | doaj-art-5b6701e70a6049069e4186a704d413f02025-02-03T05:57:20ZengWileyJournal of Analytical Methods in Chemistry2090-88732021-01-01202110.1155/2021/9563162Development and Validation of Near-Infrared Methods for the Quantitation of Caffeine, Epigallocatechin-3-gallate, and Moisture in Green Tea ProductionShengsheng Zhang0Yamin Zuo1Qing Wu2Jiao Wang3Lin Ban4Huili Yang5Zhiwen Bai6Guizhou Key Laboratory for Information System of Mountainous Areas and Protection of Ecological EnvironmentSchool of Basic Medical SciencesGuizhou Key Laboratory for Information System of Mountainous Areas and Protection of Ecological EnvironmentGuizhou Key Laboratory for Information System of Mountainous Areas and Protection of Ecological EnvironmentGuizhou Key Laboratory for Information System of Mountainous Areas and Protection of Ecological EnvironmentGuizhou Key Laboratory for Information System of Mountainous Areas and Protection of Ecological EnvironmentThe Guizhou Gui Tea (Group) Co. LtdThe quality of tea leaves (e.g., their color, appearance, and taste) can be directly influenced by the tea production process, which is closely connected with the content of a number of chemical components formed during the production of the tea leaves. However, the production process is now controlled by people's experience, making its quality significantly different. NIRS is a time-saving, cost-saving, and nondestructive method. Therefore, it is necessary to introduce NIRS technology into the quality control of the tea production process. In this study, a quantitative analysis model of caffeine, epigallocatechin-3-gallate (EGCG), and moisture content was established by near-infrared spectroscopy (NIRS) which was united simultaneously with partial least squares (PLSR) for online process monitoring of tea production. The model parameters show that the established model has fine robustness and outstanding measuring accuracy. Then, the feasibility of the established method is verified by the traditional method. Through the verification of the precision of the instrument and the stability of the sample, it is clarified that the model can be further utilized to monitor tea product quality online in a productive process.http://dx.doi.org/10.1155/2021/9563162 |
spellingShingle | Shengsheng Zhang Yamin Zuo Qing Wu Jiao Wang Lin Ban Huili Yang Zhiwen Bai Development and Validation of Near-Infrared Methods for the Quantitation of Caffeine, Epigallocatechin-3-gallate, and Moisture in Green Tea Production Journal of Analytical Methods in Chemistry |
title | Development and Validation of Near-Infrared Methods for the Quantitation of Caffeine, Epigallocatechin-3-gallate, and Moisture in Green Tea Production |
title_full | Development and Validation of Near-Infrared Methods for the Quantitation of Caffeine, Epigallocatechin-3-gallate, and Moisture in Green Tea Production |
title_fullStr | Development and Validation of Near-Infrared Methods for the Quantitation of Caffeine, Epigallocatechin-3-gallate, and Moisture in Green Tea Production |
title_full_unstemmed | Development and Validation of Near-Infrared Methods for the Quantitation of Caffeine, Epigallocatechin-3-gallate, and Moisture in Green Tea Production |
title_short | Development and Validation of Near-Infrared Methods for the Quantitation of Caffeine, Epigallocatechin-3-gallate, and Moisture in Green Tea Production |
title_sort | development and validation of near infrared methods for the quantitation of caffeine epigallocatechin 3 gallate and moisture in green tea production |
url | http://dx.doi.org/10.1155/2021/9563162 |
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