数据融合策略在食品产地溯源中的应用进展

引用本文: 邓焯文, 陈喆, 付家顺, 云永欢. 数据融合策略在食品产地溯源中的应用进展[J]. 分析化学, 2023, 51(1): 11-21. doi: 10.19756/j.issn.0253-3820.221339 shu

Citation: DENG Zhuo-Wen, CHEN Zhe, FU Jia-Shun, YUN Yong-Huan. Application Progress of Data Fusion Strategy in Food Origin Traceability[J]. Chinese Journal of Analytical Chemistry, 2023, 51(1): 11-21. doi: 10.19756/j.issn.0253-3820.221339 shu

数据融合策略在食品产地溯源中的应用进展

邓焯文 ^1, ,
陈喆 ^1,2, ,
付家顺 ^1, ,
云永欢 ^{1,
,}

1.
海南大学食品科学与工程学院, 国家市场监管重点实验室(热带果蔬质量与安全), 海口 570228;
2.
中国农业科学院油料作物研究所, 武汉 430062

通讯作者: 云永欢,E-mail:yunyonghuan@hainanu.edu.cn

基金项目:
国家市场监管重点实验室(热带果蔬质量与安全)基础应用研究课题项目(No.ZX-2022001)、国家自然科学基金项目(No.22164008)和海南省院士团队创新中心资助。

摘要: 产地溯源技术可有效识别食品来源,在保护消费者权益和维护产品声誉方面具有重要作用。产地溯源常用的检测手段包括光谱、质谱、色谱和传感器技术等,但是对于化学组成较复杂的食品,单一的分析技术通常无法获得足够的化学信息,而数据融合策略可以通过对不同检测技术获取的数据进行处理及联合,获取更多的有用信息,提高在产地溯源过程中的鉴别效果。目前,数据融合策略已经广泛应用于食品产地溯源领域。本文介绍了包括光谱、质谱、色谱和传感器技术等产地溯源检测技术,总结了基于这些技术的数据融合策略在食品产地溯源中的应用现状,并对数据融合策略在食品产地溯源方面的发展前景进行了展望,以期为食品产地溯源的研究及发展提供参考。

关键词:

English

Application Progress of Data Fusion Strategy in Food Origin Traceability

1.
Key Laboratory of Tropical Fruits and Vegetables Quality and Safety for State Market Regulation, School of Food Science and Engineering, Hainan University, Haikou 570228, China;
2.
Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, China

Corresponding author: YUN Yong-Huan, yunyonghuan@hainanu.edu.cn

Received Date: 09 July 2022
Revised Date: 29 September 2022
Fund Project:
Supported by the Key Laboratory of Tropical Fruits and Vegetables Quality and Safety for State Market Regulation (No.ZX-2022001), the National Natural Science Foundation of China (No.22164008) and the Innovation Platform for Academicians of Hainan Province, China.

Abstract: The origin traceability technique can effectively identify the source of food products, and thus plays an important role in protecting consumers' 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.

Key words:

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1.
沈阳化工大学材料科学与工程学院沈阳 110142

数据融合策略在食品产地溯源中的应用进展

通讯作者: 云永欢,E-mail:yunyonghuan@hainanu.edu.cn

English

Application Progress of Data Fusion Strategy in Food Origin Traceability

Corresponding author: YUN Yong-Huan, yunyonghuan@hainanu.edu.cn

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通讯作者: 陈斌, bchen63@163.com

中国化学会秘书处

数据融合策略在食品产地溯源中的应用进展

通讯作者: 云永欢,E-mail:yunyonghuan@hainanu.edu.cn

English

Application Progress of Data Fusion Strategy in Food Origin Traceability

Corresponding author: YUN Yong-Huan, yunyonghuan@hainanu.edu.cn

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CCS Chemistry：颜徐州、鲍哲南：你的皮肤可能是一片SPMs