Rapid identification method for spiral seaweeds having different adsorption capacities of copper ions

A technology for adsorption capacity, spirulina, used in measurement devices, color/spectral property measurement, material analysis by optical means, etc.

Active Publication Date: 2018-12-21
ANHUI SCI & TECH UNIV
View PDF2 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

And because it has the advantages of simple, fast, real-time dynamic and non-destructive detection, and can also combine the characteristics of multi-component analysis of organisms with chemometric methods, there is currently no research on the analysis of different germplasm of Spirulina based on FTIR spectroscopy. Reports on the screening or identification of copper ion adsorption capacity

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
  • Rapid identification method for spiral seaweeds having different adsorption capacities of copper ions
  • Rapid identification method for spiral seaweeds having different adsorption capacities of copper ions
  • Rapid identification method for spiral seaweeds having different adsorption capacities of copper ions

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0041] A method for quickly identifying spirulina with different adsorption capacities for copper ions, comprising the steps of:

[0042] S1, collecting infrared spectra: using Nicolet 380 (Thermo Scientific) infrared spectrometer to collect infrared spectra of different germplasm Spirulina, the number of scans during measurement is 128 times, and the measurement range is 900-4000cm -1 , resolution 4cm -1 ;

[0043] S2, infrared spectrum processing: utilize Bruker Opus 6.5 software to preprocess the infrared spectrum obtained in step S1, calculate the second order derivative for the pretreated infrared spectrum to obtain the second order derivative infrared spectrum, and select characteristic spectral data in the second order derivative infrared spectrum Using Eigenvector software for principal component analysis;

[0044] S3, cluster analysis: select step S2 principal component analysis obtained principal component eigenvalue as the classification variable of different germ...

Embodiment 2

[0046] A method for quickly identifying spirulina with different adsorption capacities for copper ions, comprising the steps of:

[0047] S1. Collect infrared spectra: mix spirulina powder with distilled water to prepare a suspension, take 50 μL of the suspension and apply it to BaF 2 On the infrared substrate, dry overnight at 50°C, and use the Nicolet 380 (ThermoScientific) infrared spectrometer to collect the infrared spectra of different germplasm Spirulina. The number of scans during the measurement is 128 times, and the measurement range is 900-4000cm -1 , resolution 4cm -1 ;

[0048] S2, infrared spectrum processing: use Bruker Opus 6.5 software to preprocess the infrared spectrum obtained in step S1, obtain the second derivative infrared spectrum for the pretreated infrared spectrum, and select the wavenumber as 900 in the second derivative infrared spectrum -1200cm -1 Principal component analysis was performed on characteristic spectral data using Eigenvector softw...

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 rapid identification method for spiral seaweeds having different adsorption capacities of copper ions. The method comprises the following steps of S1, collecting infrared spectrums, namely collecting infrared spectrums of different kinds of spiral seaweeds; S2, carrying out infrared spectrum processing: preprocessing the infrared spectrums obtained in the step S1, and solving a second-order derivative of the preprocessed infrared spectrums to obtain a second-order derivative infrared spectrum, and selecting characteristic spectrum data in the second-order derivative infrared spectrum to carry out principal component analysis; and S3, carrying out clustering analysis: selecting main component characteristic values obtained by the principal component analysis in thestep S2 to be used as fixed-class variables of different kinds of spiral seaweeds, ad clustering the spiral seaweeds into different types according to the different copper ion adsorption capacities based on the fixed-class variables. The method is based on the infrared spectrums and is combined with second-order derivative and principal component analysis processing, so that the spiral seaweeds with different copper ion adsorption capacities can be identified simply and rapidly, thereby providing important theoretical support and practical significance for finding spiral seaweeds capable of efficiently removing heavy metals in sewage.

Description

technical field [0001] The invention relates to the technical field of distinguishing spirulina with different adsorption capacities for copper ions, in particular to a rapid identification method for spirulina with different adsorption capacities for copper ions. Background technique [0002] With the continuous development of society and economy, environmental problems have attracted widespread attention, among which heavy metal pollution is an important factor causing environmental problems. Coal mines, iron and steel, metallurgy and other fields will bring lead, mercury, copper, chromium and other heavy metal pollution in the production activities, causing serious impact on the environment. The commonly used chemical precipitation method and ion exchange method can remove heavy metal pollution in water bodies, but the investment is large, the cost is high, and there is secondary pollution to the environment; while the cost of biological adsorption method is low, and it h...

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): G01N21/35G01N21/3563
CPCG01N21/35G01N21/3563G01N2021/3572G01N2021/3595
Inventor 刘京华陈心怡
Owner ANHUI SCI & TECH 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

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