Determination method of carthamus tinctorius extract

A technology of safflower extract and determination method, which is applied in the field of near-infrared detection, to achieve the effect of improving quality, good stability and strong extrapolation ability

Active Publication Date: 2012-01-11
ZHEJIANG UNIV
View PDF3 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the modeling algorithms used in these patents and documents are partial least squares regression, and the least squares support vector machine (PSO-LS-SVM) algorithm based on particle swarm optimization (PSO-LS-SVM) algorithm for the determination of key indicators in the production process of traditional Chinese medicine has not yet been established. see related reports

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Determination method of carthamus tinctorius extract
  • Determination method of carthamus tinctorius extract
  • Determination method of carthamus tinctorius extract

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0060] 1. Safflower extract sample collection

[0061] Weigh 200g of safflower medicinal material, pour it into a three-neck flask, add 15 times the amount (3000mL) of purified water, and decoct for 1 hour. 30 minutes before decoction, collect 8 mL of extract every 2.5 minutes, and add 8 mL of purified water. After 30 minutes, 8 mL of extract was collected every 5 minutes, and 8 mL of purified water was added. The extraction experiment of different batches of safflower medicinal materials was repeated 7 times, and a total of 126 samples were obtained. One batch of data is randomly selected as the verification set, and the remaining 6 batches of samples are used as the calibration set to participate in the modeling.

[0062] 2. Determination of key indicators

[0063] (1) Determination of solid content

[0064] Weigh and dry flat bottles to constant weight (less than 5 mg after twice drying) (X 0 ), measure 4mL of the extract to a flask, and weigh (X 1 ), evaporated to dr...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides a determination method of a carthamus tinctorius extract. A least squares support vector machine theory and a near infrared spectrum technology are combined, and a particle swarm optimization is used for parameter optimization on LS-SVM, so as to establish a quantitative analytical mode of amount of solid and hydroxyl safflower yellower A during a carthamus tinctorius extraction and realize rapid determination of key indexes of the amount of solid and a hydroxyl safflower yellower A concentration during the safflower extraction. The mode established on least squares support vector machine of particle swarm optimization of the invention has advantages of good stability, high degree of forecast accuracy and strong extrapolation and generalization capability. Compared with a traditional analysis method, the established analysis method is rapid and effective, and can be used for rapid determination of solid amount and hydroxyl safflower yellower A concentration during a carthamus tinctorius extraction. The invention is conducive to increase of quality control level during safflower extraction, so as to ensure stable and reliable product quality. The method of the invention has advantages of simple operation, strong model prediction capability, high stability, and strong extrapolation and generalization capability.

Description

technical field [0001] The invention belongs to the field of near-infrared detection, and in particular relates to a rapid determination method of safflower extract based on particle swarm optimization and least squares support vector machine algorithm. Background technique [0002] The main component of safflower injection is safflower extract (Carthamus tinctorius L.), which has the functions of anticoagulant, antithrombotic, dilating blood vessels and effectively preventing and treating cardiovascular and cerebrovascular diseases. Hydroxysafflor yellow A (Hydroxysafflor yellow A) is the main active ingredient of safflower. Pharmacological experiments have proved that HSYA can significantly improve hypoxia tolerance, dilate coronary arteries, increase coronary flow, and significantly inhibit platelet aggregation. The extraction process is the starting point of the production process of safflower injection, which is directly related to the utilization rate of safflower medi...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/35G01N21/3577G01N21/359
Inventor 刘雪松金叶杨凯吴永江陈勇
Owner ZHEJIANG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products