Latest Application Progress of Rapid Quantitative Technique Based on Near Infrared Spectroscopy in Analysis of Traditional Chinese Medicine

WANG Yao-peng; GU Zhi-rong; SUN Yu-jing; WANG Ya-li

doi:10.13422/j.cnki.syfjx.2015090223

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Latest Application Progress of Rapid Quantitative Technique Based on Near Infrared Spectroscopy in Analysis of Traditional Chinese Medicine

更新时间：2024-01-04

- Latest Application Progress of Rapid Quantitative Technique Based on Near Infrared Spectroscopy in Analysis of Traditional Chinese Medicine
- Chinese Journal of Experimental Traditional Medical Formulae Vol. 21, Issue 9, Pages: 223-226(2015)
- 作者机构：
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- 基金信息：
- DOI：10.13422/j.cnki.syfjx.2015090223
  CLC： R284;O657.33
- Published：2015
- 稿件说明：
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WANG Yao-peng, GU Zhi-rong, SUN Yu-jing, et al. Latest Application Progress of Rapid Quantitative Technique Based on Near Infrared Spectroscopy in Analysis of Traditional Chinese Medicine[J]. Chinese journal of experimental traditional medical formulae, 2015, 21(9): 223-226.
DOI：

WANG Yao-peng, GU Zhi-rong, SUN Yu-jing, et al. Latest Application Progress of Rapid Quantitative Technique Based on Near Infrared Spectroscopy in Analysis of Traditional Chinese Medicine[J]. Chinese journal of experimental traditional medical formulae, 2015, 21(9): 223-226. DOI： 10.13422/j.cnki.syfjx.2015090223.

摘要

近红外光谱技术(NIR)是一种快捷、无损的绿色分析技术

其定量分析技术尤为发展迅速.该技术先以误差小、重复性好的实验方法获得化学参考值

常用方法为《中国药典》指定的如高效液相色谱(HPLC)、气象色谱(GC)、毛细管电泳(CE)、原子吸收光谱法(AAS)及电感耦合等离子体质谱法(ICP-MS)等

再借助于偏最小二乘(PLS)、人工神经网络(ANN)等化学计量学方法建立一定的数学模型来预测中药或制剂中化学成分的含量

模型评价常用的指标有相关系数(R)、校正均方根偏差(RMSEC)、预测均方根偏差(RMSEP)及交叉验证均方差(RMSECV)等.目前

该技术在中药植物药及复方制剂中的有效成分、指标性成分、水分、浸出物及挥发油等的含量测定

矿物药中有效成分的含量测定

以及制剂工艺优选和制药过程实时监测等方面已开展广泛的应用.本文通过文献研究发现

NIR定量技术亦有许多薄弱及空白

但是随着迅速的推广

NIR定量分析技术在中药分析中具有广阔的研究与应用前景.

Abstract

Near infrared spectroscopy (NIR) is a rapid

nondestructive and green analytical technology

and its quantitative analysis technique is especially rapidly developing. Determination methods with small deviation and good repeatability designated byChinese Pharmacopoeia like HPLC

AAS and ICP-MS were used to obtain chemical reference. Then chemometrics models like PLS and ANN were established to predict the contents of chemical compositions in herbal medicines and compound Chinese medicinal preparation. The established models were commonly evaluated by indicators of correlation coefficient (R)

RMSEC (the root-mean-square error of calibration)

RMSEP (the root-mean-square error of prediction) and RMSECV (the root-mean-square error of cross-validation). NIR quantitative analysis technique of has broad research and application prospects in the content determination of effective compositions

index compositions

moisture

extract and volatile oil of herbal medicines and compound Chinese medicinal preparation

effective compositions of mineral medicines

optimization of preparation technologies

and real-time monitoring of pharmaceutical process.

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