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中国农学通报 ›› 2016, Vol. 32 ›› Issue (32): 61-65.doi: 10.11924/j.issn.1000-6850.casb16040053

• 食品 营养 检测 安全 • 上一篇    下一篇

代谢组学技术在食品认证及特征鉴定中的应用

王晓宇1,杜仁鹏1,王 瑶1,赵 丹1,2   

  1. (1黑龙江大学生命科学学院微生物省高校重点实验室,哈尔滨 150080;2黑龙江大学农业微生物技术教育部工程研究中心,哈尔滨 150500)
  • 收稿日期:2016-04-11 修回日期:2016-05-18 接受日期:2016-05-25 出版日期:2016-11-15 发布日期:2016-11-15
  • 通讯作者: 赵丹
  • 基金资助:
    国家自然科学基金青年科学基金项目“酸菜发酵生态系统中细菌群落与代谢物组特征耦合机制”(31300355);哈尔滨市科技局青年后备人才项目“功能性乳酸菌发酵酸菜生态学过程研究”(2014RFQXJ101);黑龙江大学研究生创新科研项目资“酸菜发酵生态系统中细菌群落与代谢物组特征耦合机制”(YJSCX2015-090HLJU);黑龙江省政府博士后项目“疣孢漆斑菌(Myrothecium verrucaria)NF-05漆酶的产生、特性及应用研究”(LBH-Z15214)。

Application of Metabolomics Technology in Food Certification and Characteristic Identification

Wang Xiaoyu1, Du Renpeng1, Wang Yao1, Zhao Dan1,2   

  1. (1Key Laboratory of Microbiology, Life Science College, Heilongjiang University, Harbin 150080;2Engineering Research Center of Agricultural Microbiology Technology, Ministry of Education, Heilongjiang University, Harbin 150500)
  • Received:2016-04-11 Revised:2016-05-18 Accepted:2016-05-25 Online:2016-11-15 Published:2016-11-15

摘要: 为了保证消费者的利益和食品质量,食品产地来源鉴别和质量鉴定十分重要。代谢组学以质谱、核磁共振等技术为检测平台,研究细胞及体系中小分子代谢物,能够更好地反映环境对食品组成成分的影响。本研究概述了代谢组学在非天然食材的鉴定和欺诈行为认证上的应用,并详细介绍了代谢组学研究的一般流程,着重阐述了代谢组学技术在食品鉴定中的应用现状,包括茶和咖啡的检测、牛奶和乳制品、肉、鱼和海鲜的检测、蔬菜和水果的检测,结果助于促进代谢组学技术在食品认证及特征鉴定中的发展。

关键词: 堆肥, 堆肥, 微生物菌剂, 肥效, 菌群多样性

Abstract: In order to guarantee the interests of consumers and food quality, both origin identification and quality identification of food are very important. Metabolomics technology is used to study the small metabolites within both cells and research systems based on MS (mass spectrometry) and NMR (nuclear magnetic resonance) as detection platform, which can better reflect the environmental influence on food composition. This paper summarized the application of metabolism technology in the authentication of non-natural food materials and the fraud identification. The general process of metamolomics research were presented, especially its current application in food identification including tea, coffee, milk, dairy products, meat, fish, seafood, vegetables and fruits. The results would promote the development of metabolomics technology in food certification and characteristic identification.

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