方法：采用近红外漫反射光谱建立定量校正模型。
Method: a quantitive model was built up with near-infrared diffuse reflectance spectroscopy.
将小波变换和多维偏最小二乘法相结合用于近红外光谱定量校正模型的建立。
A new multivariate calibration method for near infrared spectroscopy quantitative analysis was proposed based on wavelet analysis and N-way partial least square method.
研究了用偏最小二乘法（ PLS）同近红外漫反射光谱结合，对西米替丁粉末药品进行快速定量分析的方法，建立了最佳的数学校正模型。
The application of PLS and near-infrared spectroscopy for Cimetidine power rapid quantitative analysis were investigated and the best mathematic calibration models were built.
研究结果表明，原始光谱经均值中心化、一阶微分和正交信号校正预处理后，运用多元线性回归法所建葡萄糖和果糖定量分析模型最优。
The MLR mathematical model that established with orthogonal signal correction plus first derivative and mean centre preprocessed spectra shows the best result for glucose and fructose.
采用偏最小二乘法分别建立校正集样本中5个检测指标的NIR定量分析模型，并对验证集样本进行预测。
The NIR quantitative analysis models of 5 detection indexes in validation set was established using partial least squares(PLS) method.
介绍了代表性校正集样本的选择、统计学方法校正模型建立等近红外光谱的工作原理，以及利用近红外光谱进行材料鉴别和定性、 定量分析方法。
The main principle of near-infrared spectroscopy applied in the selection of representative polypropylene pellet samples and the establishment of statistical standardization model were introduced.
介绍了代表性校正集样本的选择、统计学方法校正模型建立等近红外光谱的工作原理，以及利用近红外光谱进行材料鉴别和定性、 定量分析方法。
The main principle of near-infrared spectroscopy applied in the selection of representative polypropylene pellet samples and the establishment of statistical standardization model were introduced.
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