Chemometric classification of Vietnamese green tea (Camellia sinensis) varieties and origins using elemental profiling and FTIR spectroscopy

IF 2.6 3区 农林科学 Q2 FOOD SCIENCE & TECHNOLOGY
Truong Ngoc Minh, Pham Van Thinh, Hoang Le Tuan Anh, Le Viet Anh, Nguyen Hoang Khanh, Le Van Nhan, Nguyen Quang Trung, Nguyen Tien Dat
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引用次数: 0

Abstract

SummaryThe objective of this study was to employ multi‐elemental analysis and chemometric multivariate data analysis for identifying the geographical origin of Camellia sinensis cultivated in Vietnam's northeastern region. Ninety‐two tea leaf samples encompassing four distinct varieties were sourced from Bac Can and Thai Nguyen provinces. These samples underwent analysis through Fourier transform infrared (FTIR) spectroscopy and chemometrics, while elemental quantification was achieved via inductively coupled plasma mass spectrometry (ICP‐MS), utilising mixed standards for 26 elements. The FTIR spectra exhibited characteristic peaks, denoting the functional groups of the potential compounds present. ICP/MS analysis identified the presence of 14 elements in the tea samples, revealing significant variations in content across the four varieties. principal component analysis (PCA) of the FTIR data illustrated that the initial two principal components accounted for 91.26% of the total variance, effectively segregating the four green tea varieties into distinct clusters. Conversely, PCA of the ICP‐MS spectra also distinguished the four varieties, albeit Trung Du and Hybrid F1 exhibited a proximate distribution. This closeness may be incidental and not indicative of correlation, considering the limited variable set. Our findings ascertain that ICP/MS and FTIR, augmented by chemometric software, serve as efficacious tools for ascertaining the geographical origins of tea.
利用元素分析和傅立叶变换红外光谱对越南绿茶(Camellia sinensis)品种和产地进行化学计量分类
摘要 本研究的目的是采用多元素分析和化学计量多元数据分析来确定越南东北部地区种植的山茶的地理来源。研究人员从北苴省(Bac Can)和太原省(Thai Nguyen)采集了 92 份茶叶样本,其中包括四个不同的品种。这些样品通过傅立叶变换红外(FTIR)光谱和化学计量学进行分析,而元素定量则通过电感耦合等离子体质谱法(ICP-MS)实现,使用的是 26 种元素的混合标准。傅立叶变换红外光谱显示出特征峰,表示潜在化合物的官能团。傅立叶变换红外光谱数据的主成分分析(PCA)表明,最初的两个主成分占总方差的 91.26%,有效地将四个绿茶品种分隔成不同的群组。相反,ICP-MS 图谱的 PCA 也将四个品种区分开来,尽管 Trung Du 和杂交 F1 表现出近似分布。考虑到变量集有限,这种接近可能是偶然的,并不表明存在相关性。我们的研究结果表明,ICP/MS 和傅立叶变换红外光谱,再辅以化学计量软件,是确定茶叶地理来源的有效工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.80
自引率
9.10%
发文量
655
审稿时长
2.9 months
期刊介绍: The International Journal of Food Science & Technology (IJFST) is published for the Institute of Food Science and Technology, the IFST. This authoritative and well-established journal publishes in a wide range of subjects, ranging from pure research in the various sciences associated with food to practical experiments designed to improve technical processes. Subjects covered range from raw material composition to consumer acceptance, from physical properties to food engineering practices, and from quality assurance and safety to storage, distribution, marketing and use. While the main aim of the Journal is to provide a forum for papers describing the results of original research, review articles are also welcomed.
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