详细信息
当归中Z-藁本内酯及正丁烯基苯酞近红外定量模型的建立 被引量:5
Establishment of quantitative model on Z-ligustilide and Z-butylidenephthalide in Angelica sinensis by near-infrared diffuse reflectance spectroscopy
文献类型:期刊文献
中文题名:当归中Z-藁本内酯及正丁烯基苯酞近红外定量模型的建立
英文题名:Establishment of quantitative model on Z-ligustilide and Z-butylidenephthalide in Angelica sinensis by near-infrared diffuse reflectance spectroscopy
作者:顾志荣[1];王耀鹏[1];张亚亚[1];孙宇靖[1];王亚丽[1]
第一作者:顾志荣
机构:[1]甘肃中医学院,甘肃兰州730000
第一机构:甘肃中医药大学
年份:2015
卷号:32
期号:3
起止页码:271
中文期刊名:计算机与应用化学
外文期刊名:Computers and Applied Chemistry
收录:CSTPCD
基金:国家自然科学基金资助项目(30960037);甘肃省发改委战略新兴产业和产业技术研究与开发专项项目(2011)
语种:中文
中文关键词:当归;Z-藁本内酯;正丁烯基苯酞;近红外光谱
外文关键词:Angelica sinensis; Z-ligustilide; Z-butylidenephthalide; near-infrared diffuse reflectance spectroscopy
摘要:建立快速测定当归中Z-藁本内酯及正丁烯基苯酞的近红外漫反射光谱定量模型。通过载有积分球漫反射装置的近红外光谱仪获得141批当归药材的近红外光谱,以高效液相色谱测定Z-藁本内酯及正丁烯基苯酞的质量分数,利用TQ Analyst 8.0软件的偏最小二乘法建立定量模型。结果表明,所建Z-藁本内酯模型的相关系数为0.9931,校正均方差为0.4464,预测均方差为0.50341交叉验证相关系数为0.9362,交叉验证均方差为1.0355。所建正丁烯基苯酞模型的相关系数为0.9672,校正均方差为0.5253,预测均方差为0.6462:交叉验证相关系数为0.9146,交叉验证均方差为1.0453。Z-藁本内酯及正丁烯基苯酞的平均预测回收率分别为100.99%及102.14%。研究表明,利用近红外光谱技术快速测定当归中Z-藁本内酯及正丁烯基苯酞的含量是可行的。
Using near-infrared diffuse reflectance spectroscopy(N1R) technology, a quantitative model was established to rapidly determine Z-ligustilide and Z-butylidenephthalide in Angelica sinensis. The NIR spectra of 141 batches of Angelica sinensis were collected by integrated sphere; the contents of Z-ligustilide and Z-butylidenephthalide were determined by RP-HPLC; the PLS(partial least squares) quantitative analysis model was established by TQ Analyst 8.0 software. The results showed that the correlation coefficient (R) of Z-ligusti|ide and Z-butylidenephthalide of the calibration set reached 0.9931 and 0.9672, RMSEC(the root-mean-square error of calibration) reached 0.4464 and 0.5253, RMSEP(the root-mean-square error of prediction) reached 0.5034 and 0.6462, cross-validation correlation coefficient reached 0.9362 and 0.9146, RMSECV(the root-mean-square error of cross-validatinn) reachod 1.0355 and 1.0453, and mean prediction recoveries reached 100.99 % and 102.14 %, respectively. The established method can be routinely used for the content determination of Z-ligustilide and Z-butylidenephthalide in Angelica sinensis.
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