近红外光谱测定桂附止痛凝胶膏单酯型乌头碱的含量  

Determination of Aconitum Monoester Alkaloids in Guifu Zhitong Cataplasm by Near Infrared Spectroscopy

作　　者：叶锦雄 孙冬梅 毕晓黎 罗文汇 陈朋 胥爱丽 

机构地区：[1]广州市东升医院,广州510140 [2]广东省中医药工程技术研究院,广州510095

出　　处：《中国实验方剂学杂志》2015年第16期56-59,共4页Chinese Journal of Experimental Traditional Medical Formulae

摘　　要：目的：采用近红外光谱（NIR）测定桂附止痛凝胶膏（GZC）中单酯型乌头碱（AMA）的含量。方法：测定53批次桂附止痛凝胶膏的NIR图,运用TQ Analyst 8.0软件,运用原始光谱,在10 000～4 000 cm-1,选择1个主因子数,采用偏最小二乘法（PLS）建立桂附止痛凝胶膏中单酯型乌头碱含量NIR定量模型。结果：所建模型相关系数r=0.942 0;校正均方根偏差（RMSEC）0.013 5;交叉验证均方根偏差（RMSECV）0.014 4;验证集平均预测回收率为101.44%。结论：本试验所建立的模型性能较好,对桂附止痛凝胶膏中单酯型乌头碱含量的预测准确,可以应用于桂附止痛凝胶膏中单酯型乌头碱的质量控制。Objective： To determine the content of Aconitum monoester alkaloids（ AMA） in Guifu Zhitong cataplasm（ GZC） by near infrared spectroscopy（ NIR）. Method： NIRs of 53 batches of GZC samples were determined by using TQ Analyst 8. 0 software. Within the wavebands between 10 000-4 000 cm- 1,one main factor was selected from the primary spectrum. The quantitative calibration determination model was established with partial least squares（ PLS）. Result： The established quantitative calibration model showed a good correlation coefficient（ r = 0. 942 0）,low root mean square error of calibration（ RMSEC） at 0. 013 5,root mean square error of prediction（ RMSECV） of 0. 014 4,with the average predicted recovery rate of validation set of 101. 44%.Conclusion： The quantitative calibration model can predict the content of alkaloids in GZC accurately and so can be used for the quality control of aconitum monoester alkaloids in GZC.

关 键 词：桂附止痛凝胶膏 单酯型乌头碱 近红外光谱 

分 类 号：R284.1[医药卫生—中药学]