Cargando…

Quantitative Analysis of Bioactive Compounds in Commercial Teas: Profiling Catechin Alkaloids, Phenolic Acids, and Flavonols Using Targeted Statistical Approaches

Tea, an extensively consumed and globally popular beverage, has diverse chemical compositions that ascertain its quality and categorization. In this investigation, we formulated an analytical and quantification approach employing reversed-phase ultra-high-performance liquid chromatography (UHPLC) me...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Yuan, Lai, Lingling, You, Youli, Gao, Ruizhen, Xiang, Jiaxin, Wang, Guojun, Yu, Wenquan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10453493/
https://www.ncbi.nlm.nih.gov/pubmed/37628097
http://dx.doi.org/10.3390/foods12163098
_version_ 1785095949353222144
author Chen, Yuan
Lai, Lingling
You, Youli
Gao, Ruizhen
Xiang, Jiaxin
Wang, Guojun
Yu, Wenquan
author_facet Chen, Yuan
Lai, Lingling
You, Youli
Gao, Ruizhen
Xiang, Jiaxin
Wang, Guojun
Yu, Wenquan
author_sort Chen, Yuan
collection PubMed
description Tea, an extensively consumed and globally popular beverage, has diverse chemical compositions that ascertain its quality and categorization. In this investigation, we formulated an analytical and quantification approach employing reversed-phase ultra-high-performance liquid chromatography (UHPLC) methodology coupled with diode-array detection (DAD) to precisely quantify 20 principal constituents within 121 tea samples spanning 6 distinct variants. The constituents include alkaloids, catechins, flavonols, and phenolic acids. Our findings delineate that the variances in chemical constitution across dissimilar tea types predominantly hinge upon the intricacies of their processing protocols. Notably, green and yellow teas evinced elevated concentrations of total chemical moieties vis à vis other tea classifications. Remarkably divergent levels of alkaloids, catechins, flavonols, and phenolic acids were ascertained among the disparate tea classifications. By leveraging random forest analysis, we ascertained gallocatechin, epigallocatechin gallate, and epicatechin gallate as pivotal biomarkers for effective tea classification within the principal cadre of tea catechins. Our outcomes distinctly underscore substantial dissimilarities in the specific compounds inherent to varying tea categories, as ascertained via the devised and duly validated approach. The implications of this compositional elucidation serve as a pertinent benchmark for the comprehensive assessment and classification of tea specimens.
format Online
Article
Text
id pubmed-10453493
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-104534932023-08-26 Quantitative Analysis of Bioactive Compounds in Commercial Teas: Profiling Catechin Alkaloids, Phenolic Acids, and Flavonols Using Targeted Statistical Approaches Chen, Yuan Lai, Lingling You, Youli Gao, Ruizhen Xiang, Jiaxin Wang, Guojun Yu, Wenquan Foods Article Tea, an extensively consumed and globally popular beverage, has diverse chemical compositions that ascertain its quality and categorization. In this investigation, we formulated an analytical and quantification approach employing reversed-phase ultra-high-performance liquid chromatography (UHPLC) methodology coupled with diode-array detection (DAD) to precisely quantify 20 principal constituents within 121 tea samples spanning 6 distinct variants. The constituents include alkaloids, catechins, flavonols, and phenolic acids. Our findings delineate that the variances in chemical constitution across dissimilar tea types predominantly hinge upon the intricacies of their processing protocols. Notably, green and yellow teas evinced elevated concentrations of total chemical moieties vis à vis other tea classifications. Remarkably divergent levels of alkaloids, catechins, flavonols, and phenolic acids were ascertained among the disparate tea classifications. By leveraging random forest analysis, we ascertained gallocatechin, epigallocatechin gallate, and epicatechin gallate as pivotal biomarkers for effective tea classification within the principal cadre of tea catechins. Our outcomes distinctly underscore substantial dissimilarities in the specific compounds inherent to varying tea categories, as ascertained via the devised and duly validated approach. The implications of this compositional elucidation serve as a pertinent benchmark for the comprehensive assessment and classification of tea specimens. MDPI 2023-08-17 /pmc/articles/PMC10453493/ /pubmed/37628097 http://dx.doi.org/10.3390/foods12163098 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Chen, Yuan
Lai, Lingling
You, Youli
Gao, Ruizhen
Xiang, Jiaxin
Wang, Guojun
Yu, Wenquan
Quantitative Analysis of Bioactive Compounds in Commercial Teas: Profiling Catechin Alkaloids, Phenolic Acids, and Flavonols Using Targeted Statistical Approaches
title Quantitative Analysis of Bioactive Compounds in Commercial Teas: Profiling Catechin Alkaloids, Phenolic Acids, and Flavonols Using Targeted Statistical Approaches
title_full Quantitative Analysis of Bioactive Compounds in Commercial Teas: Profiling Catechin Alkaloids, Phenolic Acids, and Flavonols Using Targeted Statistical Approaches
title_fullStr Quantitative Analysis of Bioactive Compounds in Commercial Teas: Profiling Catechin Alkaloids, Phenolic Acids, and Flavonols Using Targeted Statistical Approaches
title_full_unstemmed Quantitative Analysis of Bioactive Compounds in Commercial Teas: Profiling Catechin Alkaloids, Phenolic Acids, and Flavonols Using Targeted Statistical Approaches
title_short Quantitative Analysis of Bioactive Compounds in Commercial Teas: Profiling Catechin Alkaloids, Phenolic Acids, and Flavonols Using Targeted Statistical Approaches
title_sort quantitative analysis of bioactive compounds in commercial teas: profiling catechin alkaloids, phenolic acids, and flavonols using targeted statistical approaches
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10453493/
https://www.ncbi.nlm.nih.gov/pubmed/37628097
http://dx.doi.org/10.3390/foods12163098
work_keys_str_mv AT chenyuan quantitativeanalysisofbioactivecompoundsincommercialteasprofilingcatechinalkaloidsphenolicacidsandflavonolsusingtargetedstatisticalapproaches
AT lailingling quantitativeanalysisofbioactivecompoundsincommercialteasprofilingcatechinalkaloidsphenolicacidsandflavonolsusingtargetedstatisticalapproaches
AT youyouli quantitativeanalysisofbioactivecompoundsincommercialteasprofilingcatechinalkaloidsphenolicacidsandflavonolsusingtargetedstatisticalapproaches
AT gaoruizhen quantitativeanalysisofbioactivecompoundsincommercialteasprofilingcatechinalkaloidsphenolicacidsandflavonolsusingtargetedstatisticalapproaches
AT xiangjiaxin quantitativeanalysisofbioactivecompoundsincommercialteasprofilingcatechinalkaloidsphenolicacidsandflavonolsusingtargetedstatisticalapproaches
AT wangguojun quantitativeanalysisofbioactivecompoundsincommercialteasprofilingcatechinalkaloidsphenolicacidsandflavonolsusingtargetedstatisticalapproaches
AT yuwenquan quantitativeanalysisofbioactivecompoundsincommercialteasprofilingcatechinalkaloidsphenolicacidsandflavonolsusingtargetedstatisticalapproaches