三维漫射光谱法检测猪肉嫩度的初步研究

猪肉是光的强散射物质，嫩度是评价猪肉品质优劣的重要标准之一，提出一种基于三维漫射光谱法的猪肉嫩度检测方式。将猪肉样本更多的散射信息引入光谱分析中。利用实验室搭建的数据采集系统，通过采集距光源入射点不同距离处的样本漫反射光信号构建了64个猪肉样本的三维漫射光谱。经过小波消噪处理后，利用多维偏最小二乘法(NPLS)建立了三维漫射光谱与猪肉嫩度之间的分析模型，模型的校正决定系数R2_Cal是0.883 1，校正标准差RMSEC是3.685 0N，预测决定系数R2_Pred是0.874 7，预测标准差RMSEP是3.9756N。实验结果表明, 与常规的漫反射光谱法相比，三维漫射光谱法所建立的猪肉嫩度NPLS模型具有更高的校正精度和预测稳健性，有望为猪肉嫩度及其他品质的快速检测提供一种新的途径。

Preliminary Study on the Detection of Pork Tenderness by Three-Dimensional Diffuse Reflectance Spectroscopy

Tenderness is an important index to evaluate the pork’s quality, in this paper a method called three-dimensional diffuse reflectance spectroscopy was proposed to detect pork tenderness. Because pork has a strong scattering impact on light, this method introduced more scattering information of pork samples into spectral analysis of tenderness. Using the special data acquisition system, three-dimensional diffuse reflectance spectra of 64 pork samples were constructed by collecting the emergent light signals of different distances away from the light incident point. And n-way partial least squares (NPLS) regression was applied to establish the calibration model between the pork tenderness and three-dimensional diffuse reflectance spectra which were denoised by wavelet transform. The determination coefficient of model for the calibration set (R2_Cal) is 0.883 1, and the root mean squared error of calibration (RMSEC) is 3.685 0N. The determination coefficient of model for the prediction set (R2_Pred) is 0.874 7, and the root mean squared error of prediction (RMSEP) is 3.975 6N. The result indicates that the NPLS model of pork tenderness built by three-dimensional diffuse reflectance spectra has higher calibration accuracy and prediction stability than the traditional diffuse reflectance spectra. Three-dimensional diffuse reflectance spectroscopy can be expected to be a new method to quickly detect the tenderness and the other qualities of pork.