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[基于近红外光谱法的天舒胶囊提取过程快速测定方法]

[Fast measurement method based on near infrared spectroscopy in extraction process of Tianshu capsules].

作者信息

Mi Hui-Juan, Wang Xiu-Hai, Yang Xu-Fang, Sun Yong-Cheng, Wang Yong-Xiang, Liu Li-Li, Xiao Wei

机构信息

Jiangsu Kanion Pharmaceutical Co., Ltd., Lianyungang 222001, China.

State Key Laboratory of New-tech for Chinese Medicine Pharmaceutical Process, Lianyungang 222001, China.

出版信息

Zhongguo Zhong Yao Za Zhi. 2016 Feb;41(4):677-682. doi: 10.4268/cjcmm20160422.

Abstract

Based on the near infrared spectroscopy, partial least square (PLS) method was used to respectively develop the quantitative calibration models to fast measure the contents of the total solid and ferulic acid in extraction process of Tianshu capsule extracts. The results showed that in the quantitative model of solid content, the correlation coefficients (R²) of calibration set and cross validation set were 0.967 301 and 0.947 726. The root-mean square error of calibration set (RMSEC) was 0.054 7 and root-mean square error of cross validation set (RMSECV) was 0.069 8. Besides, in the quantitative model of ferulic acid, the correlation coefficients (R²) of calibration set and cross validation set were 0.986 879 and 0.962 243. RMSEC was 1.402 6 and RMSECV was 2.400 2. When the established models were applied to on-line monitoring, the correlation coefficients of predicted results and measured values for total solid content and ferulic acid were 0.993 3 and 0.991 6; root-mean square error of predicted value (RMSEP) was 0.039 3 and 1.669 3 respectively; mean relative deviation of predicted value (RSEP) was 3.49% and 3.58%. The results indicated that the established models can be used to fast measure the contents of the total solid and ferulic acid in extraction process of Tianshu capsule extracts.

摘要

基于近红外光谱技术,采用偏最小二乘法(PLS)分别建立定量校准模型,以快速测定天舒胶囊提取物提取过程中总固体和阿魏酸的含量。结果表明,在固体含量定量模型中,校正集和交叉验证集的相关系数(R²)分别为0.967 301和0.947 726。校正集的均方根误差(RMSEC)为0.054 7,交叉验证集的均方根误差(RMSECV)为0.069 8。此外,在阿魏酸定量模型中,校正集和交叉验证集的相关系数(R²)分别为0.986 879和0.962 243。RMSEC为1.402 6,RMSECV为2.400 2。当将所建立的模型应用于在线监测时,总固体含量和阿魏酸预测结果与测量值的相关系数分别为0.993 3和0.991 6;预测值的均方根误差(RMSEP)分别为0.039 3和1.669 3;预测值的平均相对偏差(RSEP)分别为3.49%和3.58%。结果表明,所建立的模型可用于快速测定天舒胶囊提取物提取过程中总固体和阿魏酸的含量。

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