Detection method and application of Rhizoma Chuanxiong based on particle swarm least squares support vector machine algorithm

A technology of support vector machine and least squares, which is used in computing, measuring devices, computer parts, etc. It can solve the problems of time-consuming accuracy and low accuracy, and achieve the effect of improving accuracy, improving prediction accuracy and optimizing performance.

Active Publication Date: 2017-06-16
CHINA RESOURCES SANJIU MEDICAL & PHARMA +1
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The selection of LS-SVM parameters will have a greater impact on the results, and the selection of parameters has a certain "blindness" problem. Using the parameter space exhaustive search method to optimize is time-consuming and the accuracy is not high.

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
  • Detection method and application of Rhizoma Chuanxiong based on particle swarm least squares support vector machine algorithm
  • Detection method and application of Rhizoma Chuanxiong based on particle swarm least squares support vector machine algorithm
  • Detection method and application of Rhizoma Chuanxiong based on particle swarm least squares support vector machine algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0047] A. Determination of moisture content includes the following steps:

[0048] (1) Select 116 parts of Rhizoma Chuanxiong medicinal materials from different places of origin with known moisture content and pulverize them, pass through an 80-mesh sieve to obtain medicinal medicinal materials of Rhizoma Chuanxiong with a relatively uniform particle size, and set aside; Describe the moisture content of Rhizoma Chuanxiong medicinal material, concrete steps are as follows:

[0049] Get Chuanxiong medicinal material powder 1g, place and test product Chuanxiong medicinal material powder and dry to the flat bottle (X 0 ), and then precisely weighed (X 1 ), open the bottle cap, the flat bottle (X 1 ) in a desiccator under reduced pressure (the bottom layer is covered with phosphorus pentoxide with a thickness of about 2cm), decompressed to below 2.67kPa (20mmHg) for 30min, and left at room temperature for 24 hours. Connect the anhydrous calcium chloride drying tube to the outlet...

Embodiment 2

[0064] B. The determination of extract content includes the following steps:

[0065] (1) After selecting 116 parts of Rhizoma Chuanxiong medicinal materials from different origins with known extract content and pulverizing them, passing through an 80-mesh sieve to obtain medicinal medicinal materials of Rhizoma Chuanxiong with a relatively uniform particle size, which is set aside; The content of above-mentioned leachate, concrete steps are as follows:

[0066] Take 1g of Rhizoma Chuanxiong medicinal material powder, accurately weighed (X 1 ), then placed in a 50ml Erlenmeyer flask, accurately added 25ml of ethanol, sealed, weighed, left to stand for 1h, then refluxed at 85°C for 1h, let cool, weighed, and made up the lost weight with ethanol , shake well, place in a 15ml centrifuge tube and centrifuge for 30min at a speed of 3800r / min, accurately measure 10ml of the supernatant, and place it in a flat bottle dried to constant weight (X 0 ), then evaporated the solvent in a...

Embodiment 3

[0080] The mensuration of C, ferulic acid content comprises the steps:

[0081] (1) After selecting 116 parts of Rhizoma Chuanxiong with known ferulic acid content from different origins and pulverizing them, pass through a 80-mesh sieve to obtain a powder of Rhizoma Chuanxiong with a relatively uniform particle size, which is set aside; Determination of the content of ferulic acid by method, the specific steps are as follows:

[0082] a. The pretreatment method is as follows: take about 1 g of Rhizoma Chuanxiong medicinal powder (passed through a 80 mesh sieve), accurately weigh it, accurately add 50 ml of methanol with a volume concentration of 70%, reflux at 90°C for 0.5h, let it cool, and make up for the weight loss with 70% methanol , take an appropriate amount of sample solution in a 1.5ml centrifuge tube and centrifuge for 10min under the condition of a rotating speed of 13000r / min, and take the supernatant to obtain the test solution;

[0083] b. Liquid chromatography...

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 belongs to the technical field of medicine detection, and particularly relates to a method for detecting ligusticum wallichii on basis of a particle swarm least square support vector machine algorithm and an application. The method comprises the following steps: (1) selecting a ligusticum wallichii medicinal material with known content of moisture, extract and fumalic acid, crushing the ligusticum wallichii medicinal material, and sieving the crushed ligusticum wallichii medicinal material for later use; (2) acquiring near-infrared spectrum data of the ligusticum wallichii medicinal material powder, and selecting a characteristic spectrum; (3) establishing a quantitative calibration model of the characteristic spectrum and the content of moisture, extract and fumalic acid of the ligusticum wallichii by adopting a least square support vector machine algorithm of the particle swarm algorithm optimization; (4) scanning an unknown ligusticum wallichii sample by adopting the near-infrared spectrum according to the method of the step (2), selecting the characteristic spectrum, and introducing the characteristic spectrum into the established quantitative calibration model, thereby obtaining the content of moisture, extract or fumalic acid of the unknown ligusticum wallichii sample. By adopting the method, the ligusticum wallichii medicinal material can be rapidly and comprehensively detected; moreover, the method has the advantages of simple operation, high accuracy and high precision.

Description

technical field [0001] The invention belongs to the technical field of medicinal material detection, and in particular relates to a method and application for detecting Rhizoma Chuanxiong based on a particle swarm least squares support vector machine algorithm. Background technique [0002] Ligusticum chuanxiong is the dried rhizome of Ligusticum chuanxiong Hort., an Umbelliferae plant. Its active ingredients include alkaloids represented by ligustrazine, organic acids represented by ferulic acid, and phthalide represented by ligustilide. Class, with high health care and medicinal value. According to Chinese Pharmacopoeia 2010, Rhizoma Chuanxiong has the functions of invigorating blood and promoting qi, dispelling wind and relieving pain, and is used for thoracic obstruction and heart pain, tingling pain in the chest and hypochondrium, tumbling swelling pain, irregular menstruation, amenorrhea dysmenorrhea, headache, and rheumatic arthralgia. Since the chemical composition ...

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 Patents(China)
IPC IPC(8): G01N21/359G01N21/3563G06K9/62
Inventor 陈红英栾连军李琼娅袁勤芬刘雪松马鹏岗陈佳乐金叶刘志刚马舒冰
Owner CHINA RESOURCES SANJIU MEDICAL & PHARMA
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap