Glyphosate concentration detection method based on Raman signals of chlorella pyrenoidosa

A technology of chlorella pyrenoidosa and pyrenoid, which is applied in the field of glyphosate concentration detection based on chlorella pyrenoid Raman spectroscopy technology, can solve the problems of cumbersome operation, time-consuming and labor-intensive, and avoid The effect of unskilled operation, simplified operation steps, and shortened detection time

Inactive Publication Date: 2014-12-24
ZHEJIANG UNIV
View PDF6 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The invention provides a glyphosate concentration detection method based on the Raman signal of Chlorella pyrenoidosa. The chlorophyll in the algae is used as a natural probe to reflect the photosynthetic metabolism state of the cell through the change of the Raman spectrum signal

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
  • Glyphosate concentration detection method based on Raman signals of chlorella pyrenoidosa
  • Glyphosate concentration detection method based on Raman signals of chlorella pyrenoidosa
  • Glyphosate concentration detection method based on Raman signals of chlorella pyrenoidosa

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0021] The present invention is further explained below in conjunction with specific examples.

[0022] Take 40 samples of Chlorella pyrenoidosa under normal water samples, and take 40 samples of Chlorella pyrenoidosa under the water bodies of glyphosate herbicides with concentration gradients of 0.6mg / L, 3mol / L, and 15mg / L , using a Renishaw micro confocal Raman spectrometer (inVia–Reflex 532 / XYZ) to obtain the Raman spectrum raw information of each living Chlorella pyrenoidosa liquid sample.

[0023] For each Chlorella pyrenoidosa sample, use 2-4% w / v agarose solution (Sigma Company, eleventh type: bottom gelling temperature) in deionized water to temper to 40 ° C, and pipette Mix, drop 20% v / v algae liquid on a microscope slide, and cover with a cover glass for fixation. After fixation, put the sample under a microscope Raman spectrometer for analysis. On the sterile operating table, fix the prepared sample on the stage under the objective lens of the micro-Raman spectrome...

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 glyphosate concentration detection method based on Raman signals of chlorella pyrenoidosa. The glyphosate concentration detection method comprises the following steps: (1) acquiring Raman spectrum information of chlorella pyrenoidosa samples from water bodies with glyphosate of different concentration, and preprocessing the Raman spectrum information; (2) establishing a prediction model by virtue of alternating least square according to the concentration of glyphosate in the water bodies and the preprocessed Raman spectrum information; and (3) acquiring Raman spectrum information of a to-be-measured chlorella pyrenoidosa sample, processing the Raman spectrum information of the to-be-measured chlorella pyrenoidosa sample by virtue of a multivariate curve resolution method, and inputting the processed Raman spectrum information into the prediction model, thereby obtaining the concentration of glyphosate in a glyphosate water body from which the to-be-detected chlorella pyrenoidosa sample is collected. According to the detection method, the water sample does not need to be subjected to complicated preprocessing and chemical analysis, so that the operation steps are greatly simplified, and the detection time is shortened.

Description

technical field [0001] The invention relates to the technical field of algae water body detection, in particular to a glyphosate concentration detection method based on Chlorella pyrenoidosa Raman spectrum technology. Background technique [0002] Pesticide residues in water pose a great threat to global ecological balance and drinking water safety, and herbicides belong to a category of pesticides. At present, herbicides mainly include amino acids, sulfonylureas, amides, aryloxyphenoxypropionic acids, and triazine herbicides. Glyphosate herbicides are one of the amino acids. Glyphosate is a non-selective, non-residual herbicide that kills perennial root weeds and is widely used in rubber, mulberry, tea, orchards and sugarcane fields. Although glyphosate is a low-toxic herbicide, recent studies have shown that glyphosate has obvious toxicity and itself is a carcinogen, which will cause damage to the environment and human body. Therefore, it is very important to detect the c...

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
IPC IPC(8): G01N21/65
Inventor 邵咏妮蒋林军潘健何勇
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

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