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指纹图谱技术在茶叶产地溯源中的应用

Application of fingerprint analysis in tracing the geographical origin of tea

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【作者】 朱盼万欢姚敬龙朝阳黄伟雄吴永宁

【Author】 ZHU Pan;WAN Huan;YAO Jing;LONG Chao-Yang;HUANG Wei-Xiong;WU Yong-Ning;Guangdong Provincial Center for Disease Control and Prevention;College of Natural Resources and Environment, South China Agricultural University;China National Center for Food Safety Risk Assessment;

【通讯作者】 吴永宁;

【机构】 广东省疾病预防控制中心华南农业大学资源环境学院国家食品安全风险评估中心

【摘要】 茶叶是我国特色地理标志性产品,具有深厚文化底蕴和区域资源优势。茶叶产地溯源及其品质鉴定,对于保护我国地理标志产品、打击假冒伪劣产品、促进茶叶进出口贸易、保护居民健康等具有重要意义。本文介绍了基于组学研究策略的矿质元素指纹图谱、稀土元素指纹图谱、稳定同位素指纹图谱、化学指纹图谱等技术在国内外茶叶产地溯源中的应用,分析了各方法的优势及不足;重点指出基于多源数据融合的指纹图谱技术可极大弥补单一指标在茶叶产地溯源中的局限性、有效提升产品识别的正确率,以期维护良好的贸易秩序及提高产品竞争力。

【Abstract】 Tea is one of the landmark agricultural products in China, which has profound cultural background and regional resource advantages. Tea origin traceability and quality identification were of great significance for protecting feographical indication products, cracking down on fake and shoddy products, promoting tea import and export trade, and protecting residents’ health. This paper introduced the applications of fingerprint strategies such as multi-elements fingerprint, rare earth elements fingerprint, stable isotopes fingerprint, and chemical fingerprint based on omits strategy in the origin traceability of tea, analyzed the advantages and disadvantages of each method, and pointed out that the fingerprint technology based on multi-source data fusion strategy could greatly make up for the limitations of single indicator, and effectively improve the accuracy of product identification, aiming to maintain a good trade order and improve the competitiveness of products.

【基金】 广东省自然科学基金项目(2020A1515010655);广东省医学科研基金项目(A2017035)~~
  • 【文献出处】 食品安全质量检测学报 ,Journal of Food Safety & Quality , 编辑部邮箱 ,2021年07期
  • 【分类号】TS272.7
  • 【被引频次】2
  • 【下载频次】422
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