Tenderness is an important index to evaluate the pork’s quality ,in this paper a method called three‐dimensional dif‐fuse 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 acqui‐sition 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 de‐noised by wavelet transform .The determination coefficient of model for the calibration set (R2Cal ) 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 (R2Pred ) 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 ten‐derness built by three‐dimensional diffuse reflectance spectra has higher calibration accuracy and prediction stability than the tra‐ditional 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 .%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（N PL S ）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 R2Cal是0.8831，校正标准差RMSEC是3.6850N ，预测决定系数 R2Pred是0.8747，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。
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