| 注册
首页|期刊导航|中国茶叶|化学计量学在茶叶产地溯源中的应用研究进展

化学计量学在茶叶产地溯源中的应用研究进展

朱雨 温倩茹 冯新玥 马桂岑 陈红平 吴淑春

中国茶叶2026,Vol.48Issue(8):30-39,10.
✕
中国茶叶2026,Vol.48Issue(8):30-39,10.

化学计量学在茶叶产地溯源中的应用研究进展

Research Progress of Chemometrics in Tea Geographical Origin Traceability

朱雨 1温倩茹 1冯新玥 2马桂岑 2陈红平 2吴淑春3

作者信息

  • 1. 中国农业科学院茶叶研究所,浙江 杭州 310008||中国农业科学院研究生院,北京 100081
  • 2. 中国农业科学院茶叶研究所,浙江 杭州 310008||农业农村部茶叶质量安全控制重点实验室,浙江 杭州 310008||农业农村部茶叶质量安全风险评估实验室(杭州),浙江 杭州 310008
  • 3. 杭州医学院生物工程学院,浙江 杭州 310053
  • 折叠

摘要

Abstract

As an interdisciplinary subject integrating chemistry,mathematics and statistics,chemometrics can realize rapid identification and precise traceability of tea origin by multivariate analysis and modeling of detection data of characteristic components in tea,and has become the core technical support in the field of tea geographical origin traceability.This paper reviewed the research progress of chemometrics in tea origin traceability,with an emphasis on the ideas and applications of traditional chemometric methods and modern machine learning methods in con-structing origin discrimination models.The existing problems in current applications were analyzed,including in-sufficient model generalization ability,limited traceability accuracy in small areas,lack of unified standards and comprehensive databases.Finally,the future development directions to improve the traceability accuracy and practi-cality were prospected.This study provided scientific and reliable technical references for tea origin traceability and the protection of geographical indication products.

关键词

茶叶/产地溯源/化学计量学/机器学习

Key words

tea/origin traceability/chemometrics/machine learning

分类

农业科技

引用本文复制引用

朱雨,温倩茹,冯新玥,马桂岑,陈红平,吴淑春..化学计量学在茶叶产地溯源中的应用研究进展[J].中国茶叶,2026,48(8):30-39,10.

基金项目

国家重点研发计划(2022YFF0606800)、浙江省高校基本科研经费专项(KYYB202105) (2022YFF0606800)

中国茶叶

1000-3150

访问量0
|
下载量0
段落导航相关论文