食品与发酵工业 >

2021 , Vol. 47 >Issue 6: 300 - 305

DOI: https://doi.org/10.13995/j.cnki.11-1802/ts.025254

综述与专题评论

肉类掺杂掺假的高光谱成像检测研究进展

  • 姜洪喆 ,
  • 蒋雪松 ,
  • 杨一 ,
  • 胡逸磊 ,
  • 陈青 ,
  • 施明宏 ,
  • 周宏平
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  • 1(南京林业大学 机械电子工程学院,江苏 南京,210037)
    2(北京农业智能装备技术研究中心,北京,100097)
    3(国家农业智能装备工程技术研究中心,北京,100097)
博士,讲师(周宏平教授为通讯作者,E-mail:hpzhou@njfu.edu.cn)

收稿日期: 2020-08-03

  修回日期: 2020-09-10

  网络出版日期: 2021-04-15

基金资助

南京林业大学引进高层次和高学历人才留学回国人员科研启动基金(163040114)

收起

The progress of the detection of meats adulteration using hyperspectral imaging

  • JIANG Hongzhe ,
  • JIANG Xuesong ,
  • YANG Yi ,
  • HU Yilei ,
  • CHEN Qing ,
  • SHI Minghong ,
  • ZHOU Hongping
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  • 1(College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China)
    2(Beijing Research Center of Intelligent Equipment for Agriculture, Beijing 100097, China)
    3(National Research Center of Intelligent Equipment for Agriculture, Beijing 100097, China)

Received date: 2020-08-03

  Revised date: 2020-09-10

  Online published: 2021-04-15

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摘要

肉类的掺杂掺假是国内外普遍关注的公共安全问题,对社会经济、健康、环境等方面具有潜在影响。近年来,不法商家为牟取暴利导致肉类掺杂掺假现象层出不穷、多种多样,针对此类问题研究行之有效的检测技术与方法以保障肉品真实性具有重要意义。高光谱成像技术以快速、非侵入、图谱合一等优势在食品农产品检测领域发展迅速,不仅可同时提取图像及光谱特征信息,还具备让肉类掺杂掺假“快速现形”的能力,具有较好的未来市场应用前景。该文介绍了肉类掺杂掺假现状,简述了高光谱成像原理及相关研究中数据解析方法,在探讨现有肉类掺杂掺假定性判别及定量预测研究进展基础上展望进一步研究突破方向,以期为相关肉品市场监管办法提供参考,也为其他类农产品掺假检测研究提供方法和思路借鉴。

关键词： 高光谱成像; 肉品; 掺杂掺假; 数据解析; 可视化

本文引用格式

姜洪喆 , 蒋雪松 , 杨一 , 胡逸磊 , 陈青 , 施明宏 , 周宏平 . 肉类掺杂掺假的高光谱成像检测研究进展[J]. 食品与发酵工业, 2021 , 47(6) : 300 -305 . DOI: 10.13995/j.cnki.11-1802/ts.025254

Abstract

Meat adulteration is a public safety issue widely concerned at home and abroad, which has a potential impact on social economy, health and environment. In recent years, meat adulteration has emerged endlessly in a variety of ways due to the huge profits pursued by unscrupulous merchants. It is urgent to develop effective techniques and methods to ensure the authenticity of meat products. Hyperspectral imaging is a fast and non-invasive technique that combines spectra with images, and is developing rapidly in the field of food and agricultural products detection. Not only spectral and imaging characteristics can be extracted from hyperspectral images at the same time, but also it is capable to make a ‘quick appearance’ for meat adulteration. Therefore, hyperspectral imaging has good market application prospects in the future. In this study, the current status of meat adulteration was firstly introduced, and then the principle of hyperspectral imaging and data analysis methods in related studies were briefly described. After that, further breakthrough directions were prospected based on the discussion for research progress on existing researches for qualitative discrimination and quantitative prediction related to meat adulteration. The results are expected to help provide references and ideas for supervision measures of the meat market and studies of adulteration detection for other agricultural products.

Key words： hyperspectral imaging; meats; adulteration; data analysis; visualization

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