Preliminary Study on the Detection of Pork Tenderness by Three-Dimensional Diffuse Reflectance Spectroscopy
ZHANG Zhi-yong1, ZUO Yue-ming1*, CHEN Jin-ming1, LI Gang2, CHEN Chen1, YANG Wei1
1. College of Engineering, Shanxi Agricultural University, Taigu 030801, China 2. State Key Laboratory of Precision Measurement Technology and Instrument, Tianjin University, Tianjin 300072, China
Abstract：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 (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 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.
Key words：Three-dimensional diffuse reflectance spectroscopy;Pork tenderness;N-way partial least squares;Detection
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