Rapid Detection Characteristic Constituents of Wujiapi Liquor Extract by Near Infrared Spectroscopy

ZHANG Wen-wen; LIU Shao-guang; CONG Xiao-dong; CAI Bao-chang; QIAN Jian-hua; FANG Xiao-min; PENG Mei-xian

doi:10.13422/j.cnki.syfjx.2015110061

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Rapid Detection Characteristic Constituents of Wujiapi Liquor Extract by Near Infrared Spectroscopy

更新时间：2024-01-04

- Rapid Detection Characteristic Constituents of Wujiapi Liquor Extract by Near Infrared Spectroscopy
- Chinese Journal of Experimental Traditional Medical Formulae Vol. 21, Issue 11, Pages: 61-64(2015)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.13422/j.cnki.syfjx.2015110061
  CLC： R284.1
- Published：2015
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ZHANG Wen-wen, LIU Shao-guang, CONG Xiao-dong, et al. Rapid Detection Characteristic Constituents of Wujiapi Liquor Extract by Near Infrared Spectroscopy[J]. Chinese journal of experimental traditional medical formulae, 2015, 21(11): 61-64.
DOI：

ZHANG Wen-wen, LIU Shao-guang, CONG Xiao-dong, et al. Rapid Detection Characteristic Constituents of Wujiapi Liquor Extract by Near Infrared Spectroscopy[J]. Chinese journal of experimental traditional medical formulae, 2015, 21(11): 61-64. DOI： 10.13422/j.cnki.syfjx.2015110061.

摘要

目的: 建立五加皮酒提取液中特征性成分的近红外光谱快速检测方法. 方法: 采用HPLC测定样品中甘草酸、木香烃内酯、去氢木香内酯的含量

运用偏最小二乘法(PLS)建立各含量与近红外光谱(NIRS)之间的多元校正模型

并对未知样品进行定量预测. 结果: 校正模型对甘草酸、木香烃内酯、去氢木香内酯的交叉验证均方差(RMSECV)分别为0.023 9

0.021 8

0.012 6

Abstract

Objective: To establish a near infrared spectroscopy method for rapid detection the characteristic contents in Wujiapi liquor extract. Method: The contents of glycyrrhizic acid

costunolide and dehydrocostuslactone determined by HPLC method were used as reference values and the near infrared spectroscopy of the Wujiapi liquor extract were collected by fourier transform near infrared spectroscopy technology. Partial least square (PLS) was utilized to build the quantitative calibration models and the unknown samples were quantitatively determined. Result: The results showed that the mean square errors of cross-validation (RMSECV) were 0.023 9

0.021 8 and 0.012 6

respectively

the correlation coefficient (R2) were 0.978 0

0.978 7 and 0.975 7

respectively. External validation samples collected were used to evaluate the quantitative models. The root mean square errors of prediction (RMSEP) were 0.023 7

0.018 8 and 0.010 7

respectively. Conclusion: Using near infrared spectroscopy the models have good predictive effect

which could meet the demand to rapid detect the characteristic constituents in Wujiapi liquor extract.

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