Liu Tien-Lin, Dai Jia-Ru, Su Tsung-Chen, Chiu Chun-Huo, Tsai Hsien-Tsung, Chiu Chui-Feng, Lin Jin-Chih, Hu Chih-Yi
Tea and Beverage Research Station (TBRS), No.324, Chung-Hsing RD., Yangmei, Taoyuan City 326011, Taiwan, R.O.C.
Department of Agronomy, National Taiwan University, No. 1, Sec. 4, Roosevelt Rd., Taipei 10617, Taiwan, R.O.C.
J Food Drug Anal. 2024 Dec 15;32(4):498-505. doi: 10.38212/2224-6614.3523.
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.
台湾乌龙茶以其卓越品质而闻名,在国内外享有盛誉。近年来,出现了进口的台式乌龙茶被当作正宗台湾乌龙茶销售的问题,这对台湾乌龙茶的品牌价值产生了不利影响。在本研究中,收集了国产乌龙茶(台湾乌龙茶)以及国外(包括中国大陆、越南、印度尼西亚、泰国等)生产的台式乌龙茶样本。应用多元素分析方法建立茶叶样本的元素数据库。随后,采用各种广泛使用的分类方法来开发一种用于识别台湾乌龙茶产地的判别模型。利用从727个样本数据库建立的判别模型来确定茶叶是产自台湾还是其他地区,线性判别分析(LDA)、岭回归、随机森林、提升法和支持向量机(SVM)等分类模型的统计性能几乎一致。这些模型的准确率达到97.1%-97.8%,台湾产地的召回率(真阳性率)为98.4%-99.0%,预测台湾产地的精确率为97.3%-97.8%。这种鉴别技术已成为台湾官方认可并公开推荐的检测方法(2021年11月5日发布的TFDA F0032.00),并已有效地用于官方行政检查中的产地鉴定,以及为调查案件提供证据。