The PLS Calibration Model Optimization and Determination of Rice Protein Content by Near-Infrared Reflectance Spectroscopy
LI Jun-xia1, 4,MIN Shun-geng2, ZHANG Hong-liang1, YAN Yan-lu3, LUO Chang-bing3, LI Zi-chao1*
1. Key Lab of Crop Genomics and Genetic Improvement, Ministry of Agriculture/Beijing Key Lab of Crop Genetic Improvement, China Agricultural University, Beijing 100094, China 2. The College of Science, China Agricultural University, Beijing 100094, China 3. The College of information，China Agricultural University，Beijing 100094, China 4. Crop Genetics Research Institute, Henan Academy of Agricultural Sciences, Zhengzhou 450002, China
Abstract：A hundred and ninety one representative brown rice samples from the Chinese Rice Genebank and the DH population derived from the cross of japonica upland rice IRAT109 with paddy rice Yuefu were selected for this study. Their protein content range was 5.90%-14.50%. Near-infrared diffusive spectroscopy (NIDRS) and partial least square (PLS) were used to determine protein content with different wavelength ranges and data preprocessing methods for regression and information extraction. The object function [R/(1+RMSECV)] of quantitative model was defined, and the samples of calibration and validation tests were classified by projective distribution of PLS loadings. These methods were applied to the optimization of the calibration model. It is demonstrated that the calibration model developed by the spectral data pretreatment of the first derivative + standard vector normalization with the same spectral region (5 000-9 000 cm-1) resulted in the best determination of protein content in brown rice when the maximum values of the object function were reached. The maximum values of the object functions of calibration and validation sets were 0.701 and 0.687, respectively. Projective distributions of PLS loadings were used to validate the models, and the result was the same as that of validating model by object function [R/(1+RMSECV)].
李君霞1，4,闵顺耕2,张洪亮1,严衍录3,罗长兵3,李自超1* . 水稻糙米粗蛋白近红外光谱定量分析模型的优化研究[J]. 光谱学与光谱分析, 2006, 26(05): 833-837.
LI Jun-xia1, 4,MIN Shun-geng2, ZHANG Hong-liang1, YAN Yan-lu3, LUO Chang-bing3, LI Zi-chao1* . The PLS Calibration Model Optimization and Determination of Rice Protein Content by Near-Infrared Reflectance Spectroscopy. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2006, 26(05): 833-837.
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