NEAR INFRARED SPECTROSCOPY METHOD FOR FAST DETERMINING ACTIVE COMPONENTS OF CHINESE HERB FOR PERCOLATION EXTRACTING PROCESS ANALYSIS

LIU Quan; QU Haibin; CHENG Yiyu

您当前的位置：

首页 >

文章列表页 >

NEAR INFRARED SPECTROSCOPY METHOD FOR FAST DETERMINING ACTIVE COMPONENTS OF CHINESE HERB FOR PERCOLATION EXTRACTING PROCESS ANALYSIS

更新时间：2025-12-10

- NEAR INFRARED SPECTROSCOPY METHOD FOR FAST DETERMINING ACTIVE COMPONENTS OF CHINESE HERB FOR PERCOLATION EXTRACTING PROCESS ANALYSIS
- CIESC Journal Issue 11, Pages: 1586-1591(2003)
- 作者机构：
  
  浙江大学中药科学与工程学系,浙江,杭州,310027
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Online First：25 November 2003，
  
  Published：25 November 2003
- 稿件说明：
移动端阅览
LIU Quan, QU Haibin, CHENG Yiyu. NEAR INFRARED SPECTROSCOPY METHOD FOR FAST DETERMINING ACTIVE COMPONENTS OF CHINESE HERB FOR PERCOLATION EXTRACTING PROCESS ANALYSIS[J]. CIESC Journal, 2003, (11): 1586-1591.
DOI：

LIU Quan, QU Haibin, CHENG Yiyu. NEAR INFRARED SPECTROSCOPY METHOD FOR FAST DETERMINING ACTIVE COMPONENTS OF CHINESE HERB FOR PERCOLATION EXTRACTING PROCESS ANALYSIS[J]. CIESC Journal, 2003, (11): 1586-1591. DOI：

摘要

研究提出一种快速测定中药渗漉提取液中有效组分的近红外（NIR）光谱分析方法，可用于中药渗漉提取过程在线分析.以中药三七为对象，采用人参皂苷Rg1、Rb1、Rd的HPLC测定值及三七总皂苷（PNS）的比色法测定值作对照值，建立了NIR光谱与对照值之间的校正模型.比较研究了径向基函数神经网络（RBFNN）和偏最小二乘回归（PLSR）两种建模方法，其中RBFNN校正模型对Rg1、Rb1、Rd和PNS 4种组分的交叉验证均方差（RMSECV）分别为1.120、1.230、0.267、4.749，预测均方差（RMSEP）分别为0.677、0.969、0.155、8.065.研究结果表明，本文方法方便、准确、无损，可推广用于中药提取过程分析及质量控制.

Abstract

A method of fast determining active components of Chinese herb extracts by near infrared (NIR) spectroscopy

which can be used for on-line analysis of percolation extracting process

is proposed and applied to percolation extracting panax notoginseng herb as an example. Reference measurements of ginsenoside Rg1

Rb1

and Rd were performed by HPLC

and panax notoginseng saponins (PNS) were determined according to the colorimetric assays. The calibration model between NIR spectra and reference values was set up. Radial basis function neural networks(RBFNN) and partial least squares regression(PLSR) were studied comparatively to establish the calibration model.By using RBFNN

RMSECVs for Rg1

Rb1

PNS were 1.120

1.230

0.267

4.749 and RMSEPs were 0.677

0.969

0.155

8.065

respectively. The results show that the present method is convenient

accurate and non-destructive

and can be applied for process analysis and quality control of Chinese medicine manufacturing process.

关键词

Keywords

references

Views

199

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Study on synergistic modification of nitrogen-doped carbon coating and Ti⁴⁺ co-doping for lithium vanadium phosphate cathode materials

Corrosion health status assessment method for refining unit pipeline based on GLAE-MLP

Controlled synthesis of Bi2MoO6/MoO3 composite fibers via in-situ hydrothermal method and their high-efficiency photocatalytic hydrogen production performance

Performance analysis and application of thermal and humidity control system cascade driven by waste heat

Prediction model for COD in petrochemical wastewater influent based on temporal-spatial dual-stream convolutional neural network

Related Author

No data

Related Institution

No data

⁰