Xu Ning, Wei Xuan, Ren Bing, He Yong, Feng Lei
College of Biosystems Engineering and Food Science, Zijingang Campus, Zhejiang University, Hangzhou 310058, China.
Guang Pu Xue Yu Guang Pu Fen Xi. 2012 Jul;32(7):1762-5.
Based on near-infrared spectroscopy, four characteristic wavebands 4 277.63 - 4 3166.20, 4 887.06 - 4 941.07, 5 056.78 - 5 172.50 and 5 218.78 - 5 303.64 cm(-1), and two characteristic wavebands 4 902.49 - 4 817.64 and 4 740.49 - 4 107.91 cm(-1) were chosen to establish the partial least squares (PLS) regression model of water and adenosine in fermentation cordyceps powder, respectively. The prediction results of water and adenosine contents of the whole spectra PLS model were as follows: correlation coefficients (r) were 0.868 3 and 0.788 2, RMS error predictions (RMSEP) were 0.001 999 and 0.000 134, the remaining prediction deviations (RPD) were 1.974 4 and 1.640 7, respectively. However, using characteristic wavebands modeling can achieve a better performance with r of 0.869 1 and 0.829 0, RMSEP of 0.001 934 and 0.001 250, and RPD of 2.040 7 and 1.847 6 for water and adenosine respectively, and can largely improve calibration speed, providing the theoretical basis for the development of the testing instruments. So choosing the characteristic wavebands in this work to determine the water and adenosine in fermentation cordyceps powder is more effective.
基于近红外光谱，选取四个特征波段4277.63 - 43166.20、4887.06 - 4941.07、5056.78 - 5172.50和5218.78 - 5303.64 cm(-1)，以及两个特征波段4902.49 - 4817.64和4740.49 - 4107.91 cm(-1)，分别建立发酵虫草粉中水和腺苷的偏最小二乘（PLS）回归模型。全光谱PLS模型对水和腺苷含量的预测结果如下：相关系数（r）分别为0.868 3和0.788 2，预测均方根误差（RMSEP）分别为0.001 999和0.000 134，剩余预测偏差（RPD）分别为1.974 4和1.640 7。然而，使用特征波段建模能取得更好的效果，水和腺苷的r分别为0.869 1和0.829 0，RMSEP分别为0.001 934和0.001 250，RPD分别为2.040 7和1.847 6，并且能大幅提高校准速度，为检测仪器的开发提供理论依据。所以在这项工作中选择特征波段来测定发酵虫草粉中的水和腺苷更有效。
