Method for monitoring phenanthrene pollution in water through gene CYP1A

A water pollution and genetic technology, applied in the field of water pollution monitoring, can solve the problems of inability to detect the hazard and the degree of hazard.

Inactive Publication Date: 2016-11-09
GUANGXI UNIV
View PDF0 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Chemical methods can be used to qualitatively and quantitatively detect phenanthrene and other polycyclic aromatic hydrocarbon pollution, but it is impossible to detect its harm and degree of harm

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
  • Method for monitoring phenanthrene pollution in water through gene CYP1A
  • Method for monitoring phenanthrene pollution in water through gene CYP1A
  • Method for monitoring phenanthrene pollution in water through gene CYP1A

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0030] (1) Breeding preparation of biological samples of water-polluted fish

[0031] Use 10-day-old seawater medaka larvae as biological samples for monitoring water pollution, divide the larvae into 6 groups, and raise them respectively in the water environment with a concentration of phenanthrene as described in Table 1, wherein the larvae of 0 concentration are used as the control group, and 3 in each group are carried out in parallel After feeding for 7 days, 3 fish samples were taken in parallel for measurement, and 3×3=9 data were measured for each group, and the relative expression level results of the CYP1A gene of each group of fish were obtained after mathematical statistics of the 9 data for each group. :

[0032] Table 1 The concentration of phenanthrene in the waters where the larvae of the 6 groups were reared

[0033] Experiment number

control group

1

2

3

4

5

Phenanthrene concentration (μg / L)

0

250

500

750

100...

Embodiment 2

[0082] 1. Breeding preparation of water-polluted fish biological samples

[0083] Seawater medaka larvae were used as biological samples for monitoring water pollution, and the larvae were divided into two groups. These two groups were divided into the non-pollution control group and the water area group to be tested. The larvae were raised in the non-polluted water body and the water area to be tested, Three parallels were carried out in each group, and 3 fish samples were randomly taken from each parallel for measurement after 7 days, and 3x3=9 data were measured in each group, and the results of each group of fish were obtained after mathematical statistics of the 9 data in each group. .

[0084] 2. According to the grouping, use the RNA extraction reagent to extract the total RNA of the fish sample, and use the reverse transcription reagent to reverse transcribe the RNA to synthesize the first-strand cDNA;

[0085] (1) Quickly weigh about 100 mg of frozen larvae, record t...

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 method for monitoring phenanthrene pollution in water through a gene P4501A (CYP1A). Fishes serve as biological samples for monitoring water pollution, and the gene CYP1A of the fishes serves as a sensitive biomarker for monitoring the phenanthrene pollution in water. The method has the advantages that the gene CYP1A serves as the sensitive biomarker for monitoring water pollution, the degree of water pollution is monitored by testing the relative transcript level of the gene CYP1A, and the method can sensitively reflect whether water is polluted or not and the degree of water pollution and even can sensitively detect the water pollution of a micro-pollution source; the perniciousness and the damage degree of phenanthrene pollution can be sensitively monitored from the biological angle, and an accurate, quick and scientific method is provided for water ecological environment monitoring, toxicology diagnosing, regulating, preventing and treating.

Description

technical field [0001] The invention relates to the technical field of water pollution monitoring. More specifically, the present invention relates to a method for monitoring phenanthrene pollution in water by using CYP1A gene. Background technique [0002] With the rapid development of urbanization and industry and agriculture, the pollution of polycyclic aromatic hydrocarbons in water is increasing day by day, among which phenanthrene is a typical representative of polycyclic aromatic hydrocarbon pollution. Phenanthrene is a non-essential but highly toxic element for aquatic animals. It has the characteristics of strong lipophilicity, easy enrichment and refractory degradation. It is related to canceration and other related diseases, and poses a serious threat to the environment, human and other animal health. Chemical methods can be used to qualitatively and quantitatively detect phenanthrene and other polycyclic aromatic hydrocarbon pollution, but cannot detect its haz...

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): C12Q1/68
CPCC12Q1/6851C12Q1/6888C12Q2600/158C12Q2600/166C12Q2563/107C12Q2545/114
Inventor 许友卿丁兆坤刘永强刘富娟
Owner GUANGXI 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