朱 盼,万 欢,姚 敬,龙朝阳,黄伟雄,吴永宁.指纹图谱技术在茶叶产地溯源中的应用[J].食品安全质量检测学报,2021,12(7):2520-2525
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
投稿时间:2021-02-08  修订日期:2021-04-01
DOI:
中文关键词:  产地溯源  指纹图谱  茶叶  多源数据融合
英文关键词:origin traceability  fingerprint  tea  data fusion strategy
基金项目:广东省自然科学基金项目(2020A1515010655)、广东省医学科研基金项目(A2017035)
作者单位
朱 盼 广东省疾病预防控制中心 
万 欢 华南农业大学资源环境学院 
姚 敬 广东省疾病预防控制中心 
龙朝阳 广东省疾病预防控制中心 
黄伟雄 广东省疾病预防控制中心 
吴永宁 国家食品安全风险评估中心 
AuthorInstitution
ZHU Pan Guangdong Provincial Center for Disease Control and Prevention 
WAN Huan College of Natural Resources and Environment, South China Agricultural University 
YAO Jing Guangdong Provincial Center for Disease Control and Prevention 
LONG Chao-Yang Guangdong Provincial Center for Disease Control and Prevention 
HUANG Wei-Xiong Guangdong Provincial Center for Disease Control and Prevention 
WU Yong-Ning China National Center for Food Safety Risk Assessment 
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中文摘要:
      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。
英文摘要:
      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.
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