Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Multi-light-source Raman spectrum analysis method and application thereof

A technology of Raman spectroscopy and analysis methods, applied in Raman scattering, material excitation analysis, etc., can solve problems such as inaccurate detection results

Active Publication Date: 2020-11-17
JIHUA LAB
View PDF13 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0012] In view of the above prior art, the object of the present invention is to provide a multi-light source Raman spectral analysis method and its application. The present invention obtains a multi-laser Raman spectral analysis method by combining visible light, near-infrared light, and far-infrared laser, and then combines Principal component analysis and other data analysis and processing methods, so as to obtain a Raman analysis method that is not affected by the concentration of the analyte, multi-component, detection conditions and environment, and has high sensitivity, resolution and timeliness. The technology is susceptible to the problem of inaccurate detection results due to the influence of the concentration of the analyte, multi-component, etc.

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
  • Multi-light-source Raman spectrum analysis method and application thereof
  • Multi-light-source Raman spectrum analysis method and application thereof
  • Multi-light-source Raman spectrum analysis method and application thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0077] sampling:

[0078] (1) On the brewing production line, take a single liquor production process as the object, collect in situ every 2 minutes, collect more than 5mL of unknown base wine samples each time, mark them in sequence, and use different lasers to test the obtained base wine samples , to collect Raman spectral data. The unknown base wine samples are marked as 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11 in sequence.

[0079] (2) Use a pipette gun to take 1-2mL base wine sample into a quartz cuvette, use a 532nm or 785nm light source to test the sample at least 5 times continuously, and collect the test signal.

[0080] data processing:

[0081] (1) According to the law of the base wine Raman spectrum library, the obtained Raman spectrum is mechanically subtracted from the background, and the average value of the background noise signal after processing is required to approach zero, and all characteristic peaks and fluorescent background signals are retained, such as Fi...

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 discloses a multi-light-source Raman spectrum analysis method and application thereof, and the multi-light-source Raman spectrum analysis method comprises the following steps: collectinga Raman spectrum of a standard sample; establishing a database; and performing component analysis. According to the invention, visible light, near-infrared light and far-infrared laser are combined to obtain a multi-laser Raman spectrum analysis method, and data analysis and processing modes such as a principal component analysis method are combined, so that the Raman analysis method which is notinfluenced by the concentration, multiple components, detection conditions and environment of a to-be-detected object and is high in sensitivity, resolution and timeliness is obtained.

Description

technical field [0001] The invention relates to the technical field of spectrum detection, and mainly relates to a multi-light source Raman spectrum analysis method and its application. Background technique [0002] Liquor has a saying that "production of aroma depends on fermentation, aroma enhancement depends on distillation, and good wine depends on wine pickers", which shows the importance of quality wine picking. Quantitative and quality wine picking means picking out the head of the wine, tasting it while picking it, and grading it accurately. Through the first smell, second look, and third grade, the rescue is divided into four grades: super excellent, excellent, first-level excellent, and second-level excellent. For the level of alcohol content of the picked wine, it is mainly observed by experience. Therefore, the existing artificial wine picking technology has low efficiency, which is not conducive to industrial production. At the same time, it is greatly affecte...

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): G01N21/65
CPCG01N21/65
Inventor 方威许志涛李贺军何嘉臻郭远军
Owner JIHUA LAB
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
Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com