Application Progress of Data Fusion Strategy in Food Origin Traceability

文献类型： 外文期刊

第一作者： Deng, Zhuo-Wen

作者： Deng, Zhuo-Wen;Chen, Zne;Fu, Jia-Shun;Yun, Yong-Huan;Chen, Zne

作者机构：

关键词： Origin traceability; Data fusion; Chemometrics; Review

期刊名称：CHINESE JOURNAL OF ANALYTICAL CHEMISTRY （ 影响因子：1.2； 五年影响因子：1.0 ）

ISSN： 0253-3820

年卷期： 2023 年 51 卷 1 期

页码：

收录情况： SCI

摘要： The origin traceability technique can effectively identify the source of food products, and thus plays an important role in protecting consumers & PRIME; rights and interests and maintaining the reputation of products. Commonly used detection methods for origin traceability include spectroscopy, mass spectrometry, chromatography, and sensor techniques. However, for foods with complex chemical composition, a single analytical technique usually cannot obtain sufficient chemical information, while data fusion strategy can improve the identification effect in origin traceability by processing the data obtained by different detection techniques, and combining it to obtain more useful information. At present, data fusion strategy has been widely used in the field of food origin traceability. In this paper, the origin traceability techniques including spectroscopy, mass spectrometry, chromatography and sensor techniques were introduced. The current application status of data fusion strategy based on these techniques in food origin traceability was reviewed. The development of data fusion strategy in food origin traceability was prospected, with a view to providing references for the research and development of food origin traceability.

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