近红外漫反射光谱法快速测定苦参和白土苓药材的水分

万楷杨; 高慧敏; 张启伟; 王智民

doi:CNKI:11-3495/R.20110321.1132.004

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近红外漫反射光谱法快速测定苦参和白土苓药材的水分

更新时间：2024-01-04

- 近红外漫反射光谱法快速测定苦参和白土苓药材的水分
- Rapid Determination of Moisture Content in Rhizoma Heterosmilacis Japonicae and Radix Sophorae Flavescentis with Near-infrared Diffused Reflection Spectroscopy
- 中国实验方剂学杂志 2011年17卷第10期页码：56-59
- 作者机构：
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- 基金信息：
  
  科技部重大科技专项"重大新药创制"项目(2008ZX09202-009,2009ZX09301-005,2009ZX09308-003)
- DOI：CNKI:11-3495/R.20110321.1132.004
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- 纸质出版日期：2011
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万楷杨, 高慧敏, 张启伟, 等. 近红外漫反射光谱法快速测定苦参和白土苓药材的水分[J]. 中国实验方剂学杂志, 2011,17(10):56-59.

WAN Kai-yang, GAO Hui-min, ZHANG Qi-wei, et al. Rapid Determination of Moisture Content in Rhizoma Heterosmilacis Japonicae and Radix Sophorae Flavescentis with Near-infrared Diffused Reflection Spectroscopy[J]. Chinese journal of experimental traditional medical formulae, 2011, 17(10): 56-59.
万楷杨, 高慧敏, 张启伟, 等. 近红外漫反射光谱法快速测定苦参和白土苓药材的水分[J]. 中国实验方剂学杂志, 2011,17(10):56-59. DOI： CNKI:11-3495/R.20110321.1132.004.

WAN Kai-yang, GAO Hui-min, ZHANG Qi-wei, et al. Rapid Determination of Moisture Content in Rhizoma Heterosmilacis Japonicae and Radix Sophorae Flavescentis with Near-infrared Diffused Reflection Spectroscopy[J]. Chinese journal of experimental traditional medical formulae, 2011, 17(10): 56-59. DOI： CNKI:11-3495/R.20110321.1132.004.

摘要

目的: 利用近红外(NIR)光谱技术建立一种快速测定苦参及白土苓药材水分的方法。方法: 以《中国药典》水分测定法中的烘干法测定不同苦参及白土苓药材含水量

采用偏最小二乘回归方法(PLS)分别建立两种药材的近红外光谱与含水量之间的相关模型

并利用内部交叉验证和外部验证的方法对模型进行优化。结果: 2个模型的校正集内部交叉验证决定系数(R2)均在0.97以上

内部交叉验证均方差(RMSECV)均在0.001 9以下;2个模型的验证集外部验证R2均在0.99以上

预测误差均方根(RMSEP)均在0.002 2以下。结论: 近红外漫反射光谱法具有快速、无损、准确的特点

能满足工业生产上对于原料药材水分含量测定的要求

可推广应用于药材含水量的快速测定。

Abstract

Objective: To develop a rapid NIR method for determination of moisture content in Rhizoma Heterosmilacis Japonicae and Radix Sophorae Flavescentis. Method :The NIR spectra of the sample powders were measured in a diffused reflection mode. The correlation models between the NIR spectra and the reference values of moisture content in two herbs were obtained with partial least squares method and optimized through inner cross validation and external validation. Result: The determination coefficients of inner cross validation of the two models were both above 0.97 and the RMSECV were both below 0.001 9.The determination coefficients of external validation of the two models were both above 0.99 and the RMSEP were both below 0.002 2. Conclusion: The presented method is timesaving

convenient and accuracy

which could be applied for the rapid detection of the moisture content in the raw medicinal materials.

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