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[基于偏最小二乘法和傅里叶变换近红外光谱法的鲜羊肉嫩度定量分析]

[The quantified analysis of fresh mutton tenderness using PLS methods and Fourier transform near-infrared spectroscopy].

作者信息

Zhang De-Quan, Chen Xiao-Na, Sun Su-Qin, Li Chun-Hong, Zhang Bo-Lin, Li Yong, Li Shu-Rong, Li Qing-Peng, Zhou Hong-Jie

机构信息

Institute of Agro-Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100094, China.

出版信息

Guang Pu Xue Yu Guang Pu Fen Xi. 2008 Nov;28(11):2550-3.

Abstract

Ninety eight representative fresh mutton samples from Neimeng, Ningxia, Gansu, Xinjiang province were selected for this study, the nondestructive measurement of the fresh mutton tenderness by Fourier transform near infrared (FT-NIR) spectroscopy was discussed. Partial least squares(PLS) algorithm was used to build the model between the shear force value of the fresh mutton tenderness measured by the texture machine and the FT-NIR spectra. The influence of different processing method of spectra, factors and wave regions on the determination coefficients (r2), root mean square error of cross validation (RMSECV) and root mean square error of prediction (RMSEP) was studied. The result showed that the shear force value of ninety eight representative fresh mutton samples was 1.673-6.631 kg, and the shear force value above 75% samples was 2-5 kg, almost covering the fresh mutton tenderness of our country's sheep, the r2 of the calibration could reach 86.2% and the RMSECV was up to 0. 445 in the wave number range 11 995-5 446 cm(-1) and 4 601-4 246 cm(-1) with vector normalization when the PLS factors was ten. The correlation coefficient(R), RMSEP and average bias between value measured by the texture machine and predicted value of model based on validation samples were 0.87, 0.524 and 0.385 respectively. The result indicates that FT-NIR spectroscopy is capable of predicting tenderness value of fresh mutton.

摘要

本研究选取了来自内蒙古、宁夏、甘肃、新疆等地的98份具有代表性的新鲜羊肉样本,探讨了利用傅里叶变换近红外(FT-NIR)光谱技术对新鲜羊肉嫩度进行无损检测。采用偏最小二乘法(PLS)算法建立了通过质构仪测定的新鲜羊肉嫩度剪切力值与FT-NIR光谱之间的模型。研究了光谱的不同处理方法、因素及波段对决定系数(r2)、交叉验证均方根误差(RMSECV)和预测均方根误差(RMSEP)的影响。结果表明,98份具有代表性的新鲜羊肉样本的剪切力值为1.673 - 6.631 kg,75%以上样本的剪切力值为2 - 5 kg,基本涵盖了我国绵羊新鲜羊肉的嫩度范围。当PLS因子数为10时,在波数范围11 995 - 5 446 cm(-1)和4 601 - 4 246 cm(-1)采用向量归一化处理,校正模型的r2可达86.2%,RMSECV高达0.445。基于验证样本,质构仪测定值与模型预测值之间的相关系数(R)、RMSEP和平均偏差分别为0.87、0.524和0.385。结果表明,FT-NIR光谱技术能够预测新鲜羊肉的嫩度值。

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