台湾乌龙茶产地鉴定的发展与产业应用。

IF 2.6 3区 农林科学 Q2 FOOD SCIENCE & TECHNOLOGY
Tien-Lin Liu, Jia-Ru Dai, Tsung-Chen Su, Chun-Huo Chiu, Hsien-Tsung Tsai, Chui-Feng Chiu, Jin-Chih Lin, Chih-Yi Hu
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引用次数: 0

摘要

台湾乌龙茶以其优良的品质而闻名,在国内外享有盛誉。近年来,出现了进口台式乌龙茶被冒充台湾正宗乌龙茶销售的问题,这对台湾乌龙茶的品牌价值产生了不利影响。本研究收集了国产乌龙茶(台湾乌龙茶)和国外(包括中国、越南、印度尼西亚、泰国等)生产的台式乌龙茶样品。采用多元素分析方法建立了茶叶样品的元素数据库。随后,采用各种广泛使用的分类方法,建立台湾乌龙茶产地鉴别模型。利用727个样本数据库建立的判别模型来判断茶叶是国产还是外产,LDA、Ridge、Random Forest、Boosting、SVM等分类模型的统计性能基本一致。这些模型的准确率为97.1% ~ 97.8%,台湾产地的召回率(真阳性率)为98.4% ~ 99.0%,预测台湾产地的准确率为97.3% ~ 97.8%。该鉴定技术已成为台湾官方认可和公开推荐的检测方法(TFDAF0032.00,于2021年11月5日发布),并已有效地用于官方行政检查的原产地鉴定,并为调查案件提供证据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development and industrial application of geographical origin identification for Taiwanese oolong tea.

Taiwanese oolong tea is renowned for its excellent quality and enjoys a prestigious reputation both domestically and internationally. In recent years, there has been an issue with imported Taiwanese-style oolong tea being sold as genuine Taiwanese oolong tea, which has adversely affected the brand value of Taiwanese oolong tea. In this study, samples of domestic oolong tea (Taiwanese oolong tea) and Taiwanese-style oolong tea produced abroad (including China, Vietnam, Indonesia, Thailand, etc.) were collected. A multi-elements analysis method was applied to establish an elemental database of tea leaf samples. Subsequently, various widely used classification methods were employed to develop a discrimination model for identifying the origin of Taiwanese oolong tea. Utilizing the discrimination model established from a database of 727 samples to determine whether the tea leaves were Taiwanese or external, the statistical performances of classification models such as LDA, Ridge, Random Forest, Boosting, and SVM are nearly consistent. These models achieved an accuracy rate of 97.1%-97.8%, a recall rate (true positive rate) for Taiwanese origin of 98.4%-99.0%, and a precision value for predicting Taiwanese origin of 97.3%-97.8%. This identification technology has become an officially recognized and publicly recommended testing method in Taiwan (TFDAF0032.00, released on November 5, 2021) and has been effectively utilized in official administrative inspections for identification of origin, as well as providing evidence for investigative cases.

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来源期刊
Journal of Food and Drug Analysis
Journal of Food and Drug Analysis 医学-食品科技
CiteScore
6.30
自引率
2.80%
发文量
36
审稿时长
3.8 months
期刊介绍: The journal aims to provide an international platform for scientists, researchers and academicians to promote, share and discuss new findings, current issues, and developments in the different areas of food and drug analysis. The scope of the Journal includes analytical methodologies and biological activities in relation to food, drugs, cosmetics and traditional Chinese medicine, as well as related disciplines of topical interest to public health professionals.
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