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.
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SUN Yong,王译霄,宣晓婷,张熙悦,邓文艺,靳欢,凌建刚.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[J].华中农业大学学报,2022,41(1):269-276