The progress of the detection of meats adulteration using hyperspectral imaging
JIANG Hongzhe1, JIANG Xuesong1, YANG Yi2,3, HU Yilei1, CHEN Qing1, SHI Minghong1, ZHOU Hongping1*
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)
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.
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2021, Vol. 47 
