基于机器学习联合网络爬虫算法的果汁鉴伪技术的研究进展  

Progress of fruit juices authenticity technology based on machine learning and web crawler algorithm

作　　者：SUN Yong 王译霄 宣晓婷 张熙悦 邓文艺 靳欢 凌建刚 SUN Yong;WANG Yixiao;XUAN Xiaoting;ZHANG Xiyue;DENG Wenyi;JIN Huan;LING Jiangang(Department of Chemical and Environmental Engineering,University of Nottingham Ningbo,Ningbo 315100,China;Academy of Agricultural Sciences of Ningbo City /National Professional Research and Development Center of Vegetable Processing Technology/Key Laboratory of Agricultural Products Preservation Engineering of Ningbo City,Ningbo 315400,China;Hunan Yipin-dongfang Biotechnology Co. Ltd,Changsha 410000,China)

机构地区：[1]宁波诺丁汉大学化工与环境工程学院,宁波315100 [2]宁波市农业科学研究院/国家蔬菜加工技术研发专业中心/宁波市农产品保鲜工程重点实验室,宁波315400 [3]湖南一品东方生物科技有限公司,长沙410000

出　　处：《华中农业大学学报》2022年第1期269-276,共8页Journal of Huazhong Agricultural University

基　　金：宁波市公益类科技计划项目(2019C10104,2019C10033);国家重点研发计划项目(2018YFC1903500)。

摘　　要：果汁鉴伪技术正成为全球食品营养安全领域的研究热点,其发展对果汁质量与安全控制至关重要。结合机器学习联合网络爬虫算法检索文献技术,本文综述了近年来果汁鉴伪技术的研究进展与应用领域,并着重阐述了非靶向/靶向代谢组学鉴伪技术的研究进展。结合多学科交叉和计算机技术发展趋势,对检测方法耦合发展、监督型机器学习统计工具开发、无人监督鉴伪等趋势作了预测,以期为果汁鉴伪领域的深入研究提供参考。Fruit juices authenticity technology is becoming a study hotspot in the field of global food nutrition and safety,and its development is very important to control the quality and safety of fruit juice.Combining machine learning with web crawler algorithm retrieval technology,this article reviews the progress and application of fruit juices authenticity technology.It emphasized the progress of fruit juices authenticity technology based on the non-targeted/targeted metabolomics.Combining the development trend of multidisciplinary and computer technology,the trend of coupling development of detection methods,development of supervised machine learning statistical tools,and unsupervised authenticity was predicted.It will provide a reference for further in-depth study in the field of fruit juice authentication.

关 键 词：果汁鉴伪 果汁掺假 网络爬虫 机器学习 非靶向/靶向标记法 代谢组学 

分 类 号：TS275.5[轻工技术与工程—农产品加工及贮藏工程]