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多组分中药化合物组释放同步性评价方法
引用本文:张继稳,陈立兵,顾景凯,葛卫红.多组分中药化合物组释放同步性评价方法[J].药学学报,2008,43(6):647-651.
作者姓名:张继稳  陈立兵  顾景凯  葛卫红
作者单位:1. 中国科学院,上海药物研究所,上海,201203
2. 浙江中医药大学,浙江,杭州,310053
3. 吉林大学,吉林,长春,130021
基金项目:国家高技术研究发展计划(863计划) , 国家科技支撑计划 , 中国科学院上海药物研究所新药基础研究项目
摘    要:中药剂型中所含各组分的理化性质不同, 其释放特征往往存在差异。目前尚无定量评价此种差异的方法。基于Kalman滤波法原理, 定义了化合物组异步性特征参数“化合物组相对误差(relative chemomic error, ε)”, 并据此建立同步性参数“同步性因子(synchronization factor, SF)”和反映化合物组释放同步性的参数“平均同步因子(average synchronization factor, SFav)”等评价参数。采用随机产生的模拟数据, 示例化合物组释放同步性评价的计算过程和方法学意义。结果显示, 模拟数据的化合物组相对误差与各组分释放度变异系数呈高度线性相关(r=0.996 8); 多组分中药化合物组的释放特征不同步是中药制剂的基本特征, 而化合物组释放同步性评价可能成为中药制剂质量评价的重要内容, 本文建立的量化评价化合物组同步特征的方法能直接定量地反映多组分中药释放的异步性和同步性特征。

关 键 词:释放同步性  化合物组  Kalman滤波法  多组分中药  化合物组相对误差  同步性因子
文章编号:0513-4870(2008)06-0647-05
收稿时间:2007-12-05
修稿时间:2007年12月5日

Novel method for the evaluation of the synchronicity of the chemomic release/dissolution of multi-component traditional Chinese medicines
ZHANG Ji-wen,CHEN Li-bing,GU Jing-kai,GE Wei-hong.Novel method for the evaluation of the synchronicity of the chemomic release/dissolution of multi-component traditional Chinese medicines[J].Acta Pharmaceutica Sinica,2008,43(6):647-651.
Authors:ZHANG Ji-wen  CHEN Li-bing  GU Jing-kai  GE Wei-hong
Institution:Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China. jwzhang@mail.shcnc.ac.cn
Abstract:Due to the diversity of components within the traditional Chinese medicines (TCMs), the release profiles of the components in the TCM dosage forms vary dramatically and no quantification method is available to determine the variance yet. Based upon the principles of Kalman filter method, the authors defined a new parameter, relative chemomic error (epsilon), to evaluate the asynchronous nature of the components in TCMs, and a derivative parameter as synchronization factor (SF) to quantify the synchronicity of the chemome of the TCMs. The average synchronization factor (SF(av)) was accordingly derived to simultaneously quantify the release/dissolution profiles of the multi-components in TCMs. Randomly generated simulation data were processed to demonstrate the chemomic data processing and the methodology. The results indicated that the novel parameter epsilon was well correlated (r = 0.996 8) with the coefficient of variation from the conventional release profiles of all the components. As the asynchronicity was the intrinsic characteristics of the multi-component TCMs, the synchronicity might be a new target of quality control of TCMs. The methods established by this report can be used a quantitative tool for the evaluation of the chemomic release synchronization of TCMs.
Keywords:chemome  Kalman filter  multi-component traditional Chinese medicines  chemomic relatively error  synchronization factor  chemomic release synchronicity
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