运用近红外光谱法建立广藿香含叶量定量分析模型

目的 建立广藿香药材中含叶量的近红外定量分析模型，快速测定粉末药材或以粉末入药的广藿香制剂中的含叶量。方法 扫描并用TQ软件预处理广藿香近红外光谱图，选择建模波段，结合偏最小二乘法建立近红外定量分析模型。结果 建立的近红外校正模型，其内部交叉验证相关系数达到0.996 47，校正均方差为1.45，预测均方差为1.78，内部交叉验证均方差为3.258 05。结论 广藿香含叶量近红外定量模型稳定、精确，可以用来预测未知样品的含叶量。

Near-infrared Spectroscopy for Prediction of the Leaves Content of Pogostemonis Herba

OBJECTIVE To establish a method for fast determination of leaves content of Pogostemonis Herba in powder and preparation by NIR. METHODS The spectra of Pogostemonis Herba were scanned, and then TQ analyst software was used to processing the spectra and selected regions, at last a NIR method was built with partial least squares for the leaves content of Pogostemonis Herba. RESULTS The correlation coefficients, the root-mean-square error of calibration, the root-mean-square error of prediction and the root-mean-square error of cross-validation of the calibration model for leaves contents in Pogostemonis Herba were 0.996 47, 1.45, 1.78 and 3.258 05, respectively. CONCLUSION The NIR assay method of leaves content in Pogostemonis Herba is stable and accurate, which can be used to the determination the leaves content of Pogostemonis Herba.