| 摘要: |
| 用主成分回归和偏最小二乘方法分别处理谷物的付立叶变换近红外漫反射光谱,对谷物中含量分别为 10~(-1)的蛋白质、10~(-2)的脂肪、10~(-3)的赖氨酸进行了定量测定。表明这2种方法与经典化学方法没有系统偏差,结果优于逐步回归分析。 |
| 关键词: 主成分回归 偏最小二乘 谷物 付立叶变换近红外漫反射光谱 |
| DOI： |
| 投稿时间：1993-03-10 |
| 基金项目: |
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| Quantitative Determination of Cereal's Components by Principal Component Regression and Partial Least-Squares |
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| Abstract: |
| Protein,fat and lysine(the concentrations in between 10~(-1),10~(-2),10~(-3)respectively)in cereal were quantitatively determined by principal component regression(PCR)and partial least-squares(PLS) through processing cereal's Fourier transform near-infrared diffuse reflectance spectroscopy.The correla- tion coefficient(R)and variability(CV)between PCR predicted values and chemically determined values were 0.984 and 2.09%,0.910 and 6.28%,0.924 and 5.62% for protein,fat,lysine respectively.The R and CV betwe... |
| Key words: principal component regression partial least-squares cereal Fourier transform near-infrared diffuse reflectance spectroscopy |
