摘要
目的:建立快速测定扶芳藤中卫矛醇含量的方法。方法:以高效液相色谱法测定结果为对照,应用FTIR技术,采用偏最小二乘法、主成分回归法和多元线性回归法3种回归分析方法对不同产地扶芳藤药材中的卫矛醇进行定量测定。结果:三种方法的测定结果与高效液相测定的结果没有显著差异(P<0.05),各定量方法的实测值与预测值均没有系统误差;多元线性回归法测定8个产地扶芳藤原药材和甲醇提取物卫矛醇的结果和HPLC结果最为接近,其平均标准误差分别为0.16,0.296。RSD分别为4.475%,6.643%,小于其他两种方法,说明多元线性回归法的结果最为理想。结论:所建立的定量校正模型具有较强的测定能力,采用自编计算程序和现有统计软件,还可将模型实现实时在线检测,大大提高了测定速度而更加具应用价值。
Objective:In order to explore a rapid approach to determine dulcitol content in Euonymus fortune.Method:Based on fourier transform infrared spectroscopy(FTIR)and used the result of High Performance Liquid Chromatography(HPLC)as controls,partial least square method(PLS),principal component regression(PCR)and muhiple linear regression(MLR)were employed to determine the content of Dulcitol in Euonymus fortune collected from 8 different producing areas quantificationally.Result:The results showed that the forecasted values by those of three regression methods basically tallied with the actual values by HPLC method,there was no significant difference among them(P〈0.05)and no system errors;The MLR result was optimal with mean standard error of 0.160,0.296 and the average relative standard deviationwas of 4.475%,6.643%respectively when the crude drugs and its methanolic extract of Euonymus fortune were selected to determine the value of dulcitol solely,which were less than PLS and PCR methods.Conclusion:The quantitative correction model has stronger capability of determination,the detection on real-time was implemented rapidly with the Fisher model,proposed the model has more practical value.
作者
郑娟梅
毛晓丽
李自达
黄荣韶
蔡鹃
黄庶识
刘华钢
ZHENG Juan-mei;MAO Xiao-li;LI Zi-da;HUANG Rong-shao;CAI Juan;HUANG Shu-shi;LIU Hua-gang(Guangxi Institute for Food and Drug Control,Nanning 530021,China;Guangxi Academy of Sciences,Nanning 530007,China;Guangxi Traditional Chinese Medical University,Nanning 530001,China;College of Agriculture,Guangxi University,Nanning 530003,China;Guangxi Medical University,Nanning 530021,China)
出处
《中国实验方剂学杂志》
CAS
北大核心
2012年第6期60-65,共6页
Chinese Journal of Experimental Traditional Medical Formulae
基金
广西科学研究与技术开发计划项目(0992003A-20)
