利用可见近红外高光谱成像技术检测羊肉糜中的鸭肉掺假。
Detection of adulteration with duck meat in minced lamb meat by using visible near-infrared hyperspectral imaging.
机构信息
College of Engineering, National R&D Center for Agro-Processing Equipment, China Agricultural University, Beijing, China; Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing, China.
College of Engineering, National R&D Center for Agro-Processing Equipment, China Agricultural University, Beijing, China.
出版信息
Meat Sci. 2019 Mar;149:55-62. doi: 10.1016/j.meatsci.2018.11.005. Epub 2018 Nov 8.
This paper described a rapid and non-destructive method based on visible near-infrared (Vis-NIR) hyperspectral imaging system (400-1000 nm) for detection adulteration with duck meat in minced lamb. The multiple average of the reference spectral and a predicted relative spatial distribution coefficient were applied in this study to reduce the noise of the spectra. The PLSR model with selected wavelengths achieved better results than others with determination of coefficients (R) of 0.98, and standard error of prediction (RMSEP) of 2.51%. And the prediction map of the duck minced in lamb meat was generated by applying the prediction model. The results of this study indicate the great potential of the hyperspectral technology applying to rapidly and accurately detect the meat adulteration in minced lamb meat.
本论文描述了一种基于可见近红外（Vis-NIR）高光谱成像系统（400-1000nm）的快速、无损方法，用于检测羊肉糜中鸭肉的掺假情况。本研究应用参考光谱的多次平均值和预测的相对空间分布系数来减少光谱噪声。与其他选择波长的 PLSR 模型相比，具有更高的决定系数（R）为 0.98，预测标准误差（RMSEP）为 2.51%。并通过应用预测模型生成了羊肉糜中鸭肉的预测图。本研究结果表明，高光谱技术在快速、准确检测羊肉糜中肉类掺假方面具有巨大的潜力。
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