中国药物警戒 ›› 2016, Vol. 13 ›› Issue (8): 464-467.

• 质量与工艺研究 • 上一篇    下一篇

丹参药材水分近红外定量模型的建立

郝磊1, 李军山1, 2, 彭新华1, 汪小康1, 高会芹1, 姜国志1, 李振江1   

  1. 1神威药业集团有限公司,河北 石家庄 051430;
    2 河北省中药配方颗粒工程技术研究中心,河北 石家庄 050090
  • 收稿日期:2016-09-14 修回日期:2016-09-14 出版日期:2016-08-20 发布日期:2016-09-14
  • 基金资助:
    国家中医药管理局中医药科学技术研究专项课题（国中医药科2013X07）; 河北省科技计划项目（中药配方颗粒制备工艺及质量标准研究项目）(14272504D）

Establishment of Rapid Quantitative Analysis of Water in Salvia Miltiorrhiza by Near Infrared Diffuse Reflectance Spectroscopy

HAO Lei1, LI Jun-shan1, 2, PENG Xin-hua1, WANG Xiao-kang1, GAO Hui-qin1, JIANG Guo-zhi1, LI Zhen-jiang1   

  1. 1 Shineway Pharmaceutical Group Ltd, Hebei Shijiazhuang 051430, China;
    2 Hebei Province Engineering and Technology Research Center for Traditional Chinese Medicine Formula Particles Dispensing Granule, Hebei Shijiazhuang 050090, China
  • Received:2016-09-14 Revised:2016-09-14 Online:2016-08-20 Published:2016-09-14

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摘要： 目的 利用近红外漫反射技术和化学计量学的方法 建立测定丹参药材水分的近红外光谱定量模型。方法 用积分球漫反射测定样品的近红外漫反射光谱,做一阶导数预处理,回归方法 为偏最小二乘法(PLS),建立定量模型。结果 定量模型的最佳主因子数为6,内部交叉验证均方差RMSECV为0.442,决定系数R2为0.996 4,外部验证预测均方差RMSEP为0.229,系统精密度RSD为1.1%,方法 精密度RSD为1.8%。结论 建立预测模型对丹参药材的水分进行测定是可行的,且快速、简便。

关键词: 近红外, 丹参药材, 水分测定

Abstract: Objective To establish a quantitative model to determine the water in Salvia miltiorrhiza quickly by using near-infrared diffuse reflection technology and chemometrics method. Methods Near infrared spectra of the samples were measured by the integrating sphere. The partial least squares (PLS) calibration model was built with the first derivative spectra. Results The optimal number of the latent variables for the model was 6. The coefficient of determination (R2) for the model was 0.996 4. The root mean square error of cross-validation (RMSECV) was 0.442 and root mean square error of prediction (RMSEP) was 0.229. The relative standard deviation of the system and the method was 1.1% and 1.8% separately. Conclusion The NIRS model was proved to be a rapid and exact method for the quantitative determination of the water in Salvia miltiorrhiza.

Key words: near infrared, Salvia miltiorrhiza, moisture determination

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