摘要
开发了傅里叶中红外漫反射光谱技术(DR-FTIR)结合向后区间偏最小二乘法(biPLS)快速分析精米中蛋白质含量的分析方法。通过波谱预处理、优化建模区间,系统地比较了DR-FTIR及近红外漫反射红外光谱(DR-NIR)的模型效果。研究结果表明,DR-FTIR、DR-NIR均能快速准确地测定精米中蛋白质含量,但DR-FTIR法灵敏度优于DR-NIR法。BiPLS区间选择结果显示,以1 700~1 400、1 300~1 200、900~600 cm~(-1)波段建模,模型效果最优,其相关系数R为0.990 1,RMSEC和RMSEP分别为0.13、0.25,Y_(预测)=0.99X_(实际)+0.008 2,R=0.992 3,预测值与实际值高度相关。10组外部验证实验相对误差为1.72%,表明预测精确度较高、模型稳定性好,说明DR-FTIR所开发的精米中蛋白质含量的分析模型是可行的。
The analysis method for rapidly determining protein content in milled rice flour by Diffuse Reflectance Fourier transform infrared spectroscopy(DR-FTIR)combined with back interval partial least squares(biPLS)was developed.The effects of DR-FTIR and DR-near infrared spectroscopy(NIR)models were systematically compared by means of spectral pretreatment and optimization of spectral modeling interval.The results showed that both DR-FTIR and DR-NIR were effective in term of rapid determination of the protein content in milled rice flour.However,DR-FTIR method had higher sensitivity than DR-NIR method.The results of biPLS interval selection demonstrated that the best model was obtained based on the 1 700~1 400,1 300~1 200,900~600 cm~(-1) bands,coefficient of correlation R was 0.990 1,RMSEC was 0.13,and RMSEP was 0.25.The DR-FTIR predictive values were highly correlated with the actual values with a regression equation of F_(prediction)=0.99 X_(actuality)+0.008 2,R=0.992 3.The relative standard deviation of 10 groups of external validation tests(1.72%)showed that the model had higher prediction accuracy as well as better stability,and it demonstrated that the analysis model of protein content in milled rice flour developed by DR-FTIR was feasible.
引文
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