摘要
目的:建立盐补骨脂配方颗粒中补骨脂素、异补骨脂素及水分测定的NIR模型。方法:以HPLC和水分测定为基准数据,采用NIR技术建立10批盐补骨脂配方颗粒中指标成分(补骨脂素和异补骨脂素)及水分测定的定量模型。结果:补骨脂素与异补骨脂素含量测定模型的交互验证均方根误差(RMSECV)0.025 0,相关系数(r)0.886 8,预测均方根误差(RMSEPV)0.025 5,r=0.891 0;水分测定模型的RMSECV=0.161,r=0.897 5,RMSEPV=0.150 0,r=0.921 8。结论:建立的NIR模型稳定、准确、可靠,可快速测定其覆盖范围内的补骨脂素、异补骨脂素及水分含量。
Objective： To establish NIR model of psoralen, isopsoralen and moisture content in salt Psoraleae Fruetus granules. Method： With determination of HPLC and moisture content as reference data, NIR was adopted to build quantitative measurement models of psoralen, isopsoralen and moisture content of 10 batches of salt Psoraleae Fructus granules. Result： Root mean square error of cross validation （RMSECV） of determination model of psoralen and isopsoralen was 0. 025 0 with correlation coefficient （r） of 0. 886 8, root mean square error of prediction （RMSEPV） was O. 025 5 with r =0. 891 0; RMSECV of moisture determination was O. 161 with r = 0. 897 5, RMSEPV was 0. 150 0 with r = 0. 921 8. Conclusion： These established models was stable, accurate and reliable, which could be applied for fast determination of psoralen, isopsoralen and moisture within their coverage.
出处
《中国实验方剂学杂志》
CAS
北大核心
2014年第13期41-44,共4页
Chinese Journal of Experimental Traditional Medical Formulae
基金
国家西南地区中药材规范化种植及大宗中药材综合利用开发技术项目(2011BAI13B00)
关键词
近红外光谱
盐补骨脂配方颗粒
补骨脂素
异补骨脂素
一阶导数光谱
多元信号修正
near-infrared spectroscopy
salt Psoraleae Fructus granules
psoralen
isopsoralen
firstorder derivative spectra
multiple signal correction
