Jiang Hongzhe, Cheng Fengna, Shi Minghong
College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China.
Foods. 2020 Feb 6;9(2):154. doi: 10.3390/foods9020154.
Minced pork jowl meat, also called the sticking-piece, is commonly used to be adulterated in minced pork, which influences the overall product quality and safety. In this study, hyperspectral imaging (HSI) methodology was proposed to identify and visualize this kind of meat adulteration. A total of 176 hyperspectral images were acquired from adulterated meat samples in the range of 0%-100% (w/w) at 10% increments using a visible and near-infrared (400-1000 nm) HSI system in reflectance mode. Mean spectra were extracted from the regions of interests (ROIs) and represented each sample accordingly. The performance comparison of established partial least square regression (PLSR) models showed that spectra pretreated by standard normal variate (SNV) performed best with R = 0.9549 and residual predictive deviation (RPD) = 4.54. Furthermore, functional wavelengths related to adulteration identification were individually selected using methods of principal component (PC) loadings, two-dimensional correlation spectroscopy (2D-COS), and regression coefficients (RC). After that, the multispectral RC-PLSR model exhibited the most satisfactory results in prediction set that R was 0.9063, RPD was 2.30, and the limit of detection (LOD) was 6.50%. Spatial distribution was visualized based on the preferred model, and adulteration levels were clearly discernible. Lastly, the visualization was further verified that prediction results well matched the known distribution in samples. Overall, HSI was tested to be a promising methodology for detecting and visualizing minced jowl meat in pork.
猪颊肉碎,也叫贴骨肉,常被用于掺假猪肉中,这会影响产品的整体质量和安全。在本研究中,提出了高光谱成像(HSI)方法来识别和可视化这种肉类掺假情况。使用可见近红外(400 - 1000 nm)反射模式的HSI系统,以10%的增量从0% - 100%(w/w)的掺假肉样品中总共采集了176张高光谱图像。从感兴趣区域(ROI)提取平均光谱并相应地表示每个样品。已建立的偏最小二乘回归(PLSR)模型的性能比较表明,经标准正态变量(SNV)预处理的光谱表现最佳,R = 0.9549,剩余预测偏差(RPD) = 4.54。此外,使用主成分(PC)载荷、二维相关光谱(2D - COS)和回归系数(RC)方法分别选择了与掺假识别相关的功能波长。之后,多光谱RC - PLSR模型在预测集中表现出最令人满意的结果,R为0.9063,RPD为2.30,检测限(LOD)为6.50%。基于优选模型对空间分布进行了可视化,掺假水平清晰可辨。最后,可视化进一步验证了预测结果与样品中的已知分布非常匹配。总体而言,HSI被证明是一种用于检测和可视化猪肉中猪颊肉碎的有前景的方法。