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近红外光谱法快速测定酒女贞子中女贞苷含量
引用本文:史晶晶,张迪文,白雁,谢彩侠,张苗. 近红外光谱法快速测定酒女贞子中女贞苷含量[J]. 中国实验方剂学杂志, 2016, 22(8): 69-73
作者姓名:史晶晶  张迪文  白雁  谢彩侠  张苗
作者单位:河南中医药大学药学院, 郑州 450046,河南中医药大学药学院, 郑州 450046,河南中医药大学药学院, 郑州 450046,河南中医药大学药学院, 郑州 450046,河南中医药大学药学院, 郑州 450046
基金项目:河南省中药开发工程技术研究中心项目(142102313109)
摘    要:目的:利用近红外光谱技术(NIRS)快速测定酒女贞子中女贞苷含量。方法:采用3个不同产地的黄酒对女贞子进行炮制,以HPLC测定样品中女贞苷的含量为参考,运用近红外光谱技术结合偏最小二乘法(PLS)建立酒女贞子中女贞苷含量的定量分析模型。结果:女贞苷的定量分析模型内部交叉验证决定系数(R2)为0.967 89,校正均方根偏差(RMSEC)为0.107,预测均方根偏差(RMSEP)为0.103,交互验证均方根偏差(RMSECV)为0.256 69,主因子数为8。结论:该方法简便快速,准确无损,所建模型能够对酒女贞子中女贞苷的含量进行快速测定。

关 键 词:近红外光谱  偏最小二乘法  酒女贞子  女贞苷
收稿时间:2015-06-29

Fast Determination of Ligustroflavone in Wine Ligustri Lucidum Fructus by Near Infrared Spectroscopy
SHI Jing-jing,ZHANG Di-wen,BAI Yan,XIE Cai-xia and ZHANG Miao. Fast Determination of Ligustroflavone in Wine Ligustri Lucidum Fructus by Near Infrared Spectroscopy[J]. China Journal of Experimental Traditional Medical Formulae, 2016, 22(8): 69-73
Authors:SHI Jing-jing  ZHANG Di-wen  BAI Yan  XIE Cai-xia  ZHANG Miao
Affiliation:School of Pharmacy, Henan University of Traditional Chinese Medicine, Zhengzhou 450046, China,School of Pharmacy, Henan University of Traditional Chinese Medicine, Zhengzhou 450046, China,School of Pharmacy, Henan University of Traditional Chinese Medicine, Zhengzhou 450046, China,School of Pharmacy, Henan University of Traditional Chinese Medicine, Zhengzhou 450046, China and School of Pharmacy, Henan University of Traditional Chinese Medicine, Zhengzhou 450046, China
Abstract:Objective: To determine the content of ligustroflavone in wine Ligustri Lucidum Fructus by near infrared spectroscopy. Method: Ligustri Lucidum Fructus was processed with ricewine from three different regions. With the content of ligustroflavone determined by HPLC as reference value, quantitative model of ligustroflavone content in wine Ligustri Lucidum Fructus was established by using near infrared spectroscopy combined with partial least squares (PLS). Result: The correlation coefficients (R2) of the quantitative calibration model for ligustroflavone was 0.96789;root mean square error of calibration (RMSEC) was 0.107;root mean square error of predication (RMSEP) was 0.103;root mean square error of cross validation (RMSECV) was 0.25669, and the number of main factors was 16. Conclusion: This method is convenient and accurate. The established models can realize fast determination of ligustroflavone in wine Ligustri Lucidum Fructus.
Keywords:near infrared spectroscopy  partial least squares  wine Ligustri Lucidum Fructus  ligustroflavone
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