CN113777293A - Method for detecting and evaluating sulfamethoxazole environmental risk by using paramecium biomarker and IBR (ion beam receptor) - Google Patents

Method for detecting and evaluating sulfamethoxazole environmental risk by using paramecium biomarker and IBR (ion beam receptor) Download PDF

Info

Publication number
CN113777293A
CN113777293A CN202111014349.7A CN202111014349A CN113777293A CN 113777293 A CN113777293 A CN 113777293A CN 202111014349 A CN202111014349 A CN 202111014349A CN 113777293 A CN113777293 A CN 113777293A
Authority
CN
China
Prior art keywords
smx
biomarker
sulfamethoxazole
kit
indicates
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202111014349.7A
Other languages
Chinese (zh)
Other versions
CN113777293B (en
Inventor
陈瑛
任南琪
尹笑宇
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shenzhen Graduate School Harbin Institute of Technology
Original Assignee
Shenzhen Graduate School Harbin Institute of Technology
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shenzhen Graduate School Harbin Institute of Technology filed Critical Shenzhen Graduate School Harbin Institute of Technology
Priority to CN202111014349.7A priority Critical patent/CN113777293B/en
Publication of CN113777293A publication Critical patent/CN113777293A/en
Application granted granted Critical
Publication of CN113777293B publication Critical patent/CN113777293B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/48Biological material, e.g. blood, urine; Haemocytometers
    • G01N33/50Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
    • G01N33/5005Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving human or animal cells
    • G01N33/5008Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving human or animal cells for testing or evaluating the effect of chemical or biological compounds, e.g. drugs, cosmetics
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/15Medicinal preparations ; Physical properties thereof, e.g. dissolubility

Landscapes

  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Chemical & Material Sciences (AREA)
  • Immunology (AREA)
  • Biomedical Technology (AREA)
  • Molecular Biology (AREA)
  • Food Science & Technology (AREA)
  • Hematology (AREA)
  • Medicinal Chemistry (AREA)
  • Physics & Mathematics (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Urology & Nephrology (AREA)
  • Pathology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Pharmacology & Pharmacy (AREA)
  • Tropical Medicine & Parasitology (AREA)
  • Biotechnology (AREA)
  • Cell Biology (AREA)
  • Toxicology (AREA)
  • Microbiology (AREA)
  • Biophysics (AREA)
  • Measuring Or Testing Involving Enzymes Or Micro-Organisms (AREA)

Abstract

The invention belongs to the technical field of biological monitoring and evaluation of antibiotic environmental pollution, and particularly relates to a method for detecting and evaluating the environmental risk of sulfamethoxazole by using paramecium biomarkers and IBR (antibiotic resistance receptor), which is used for quickly evaluating the environmental concentration and the environmental risk of sulfamethoxazole by using a plurality of biomarkers and IBR integrated analysis of sensitive indicator organisms.

Description

Method for detecting and evaluating sulfamethoxazole environmental risk by using paramecium biomarker and IBR (ion beam receptor)
Technical Field
The invention belongs to the technical field of biological monitoring and evaluation of antibiotic environmental pollution, and particularly relates to a method for evaluating the environmental risk of sulfamethoxazole by using paramecium biomarker and IBR (antibiotic resistance receptor).
Background
The integrated analysis using tested species, detection concentration range, detection parameters and whether IBR is used in the sulfamethoxazole biological detection method reported in the prior art is as follows:
Figure BDA0003239378130000011
for example, CN201110271631.3 is a method for evaluating soil environment safety of transgenic pest-resistant rice, which comprises culturing paramecium via soaking solution of stalk of transgenic pest-resistant rice, and determining whether transgenic rice affects growth, reproduction, etc. of paramecium via statistics of cell density of cultured paramecium; then, detecting the damage of paramecium DNA by utilizing a comet electrophoresis technology, and determining the damage condition of the paramecium DNA of the anti-pest transgenic Bt rice by counting and analyzing comet cell numbers of the experimental group, the negative control group and the positive control group; thereby judging whether the transgenic insect-resistant rice is safe to the soil environment.
CN202110224110.6 discloses a novel method for detecting environmental toxic substances by combining biological methods, which comprises the following steps: collecting an environmental sample specimen to be detected, and judging the type and content of toxic substances in the environment of the specimen to be detected according to three test results by respectively performing a seed germination test, a snail killing test and an aquatic micro-animal community killing test. Trigonella foenum-graecum and Chinese little greens seeds of two families of plant kingdom are combined with animals of three different phyla of animal kingdom, namely, the leptospira of terrestrial Olachnaceae, the rotifer of aquatic rotifer, the paramecium of ciliate and the water-bear worm of bradycardia. The method is complicated in evaluation method and increases the difficulty of analysis.
The main defects of the prior art include:
(1) the species for carrying out the sulfamethoxazole biological detection in the past are not sensitive enough or have higher cost, long period and low standardization degree;
(2) the used biomarkers are few in types, more in nature and insufficient in quantification;
(3) the detection concentration range and the actual environmental concentration have weak pertinence and low practicability;
(3) lack of IBR analysis-by-synthesis evaluation.
The IBR index method is widely applied to marine environment quality evaluation. The method has low requirements on the types and the quantity of the screened biomarkers, can be used for carrying out 'causal effect' analysis by connecting biological response with pollutants, and is widely applied.
The IBRv2 index method avoids the deviation of calculation results caused by different marker sequences when a first generation IBR index method draws a star chart, and can reflect the induction and inhibition effects of various biomarkers under different pollution conditions.
However, for the evaluation of the environmental concentration and the environmental risk of a specific substance, a large amount of research is needed to establish the evaluation, and how to quickly and accurately evaluate the environmental concentration and the environmental risk of sulfamethoxazole is the problem to be solved by the invention.
Disclosure of Invention
In view of the problems in the prior art, the invention provides a method for evaluating the environment risk of sulfamethoxazole by using paramecium biomarker and IBR detection, and the environment concentration and the environment risk of sulfamethoxazole are quickly evaluated by using a plurality of biomarkers of sensitive indicator organisms and IBR integrated analysis.
The invention is realized by the following technical scheme:
a method for evaluating the environmental risk of Sulfamethoxazole (SMX) by using paramecium biomarker and IBR detection, comprising the following steps:
(1) culturing paramecium, selecting single cells for culturing, and taking individuals in logarithmic growth phase for sulfamethoxazole detection;
(2) selecting sulfamethoxazole solutions with different concentrations as detection samples;
(3) taking insect liquid with a certain density, after a sample to be detected is processed, washing cells by PBS, cracking the cells by cell lysate, centrifuging, collecting supernate, and detecting by biomarkers respectively;
(4) integrated biomarker analysis (IBR), calculated as follows:
firstly, standardization: all biomarker data were normalized to Y ═ log (X/X)0). Wherein X is the average of the results of each biomarker measured at each locus; x0Biomarker values for control sites;
uniformization: normalizing the normalization value of each marker at each position to be Z ═ (Y-M)/S, wherein Y is the normalization value of each biomarker; m is the total average value at all sites; s is the standard deviation of the normalized value of each biomarker at all the positions;
and 3, assignment: calculating the deviation index A ═ Z-Z of each biomarker at each site0Wherein Z is each marker in eachA normalized value of the station; z0Is the normalized value of the marker at the control site;
calculating IBRv 2: the sum of the absolute values of the deviation indices | a | of all markers at each station is first calculated and then divided by the number of biomarkers n. The calculation formula is as follows:
Figure BDA0003239378130000031
as a preferred embodiment of the present invention, the step (1) includes: the method can be used for collecting fresh water with rich plankton, selecting single cells, wheat grain culture solution, establishing a monoclonal culture system in a constant-temperature constant-humidity incubator at 20-25 ℃, performing starvation induced joint reproduction, performing large-scale pure culture, and taking individuals in logarithmic phase of growth for sulfamethoxazole detection.
As a preferred embodiment of the present invention, the step (2) includes: sulfamethoxazole concentrations range from 10ng to 1.7. mu.g/L, with 6 concentrations tested, 10ng, 100ng, 1. mu.g, 1.2. mu.g and 1.5. mu.g, 1.7. mu.g, set in this range.
As a preferred embodiment of the present invention, the step (3) includes: the insect solution with the density of 1000ind/ml is taken, after a sample to be detected is processed for 24 hours, cells are washed by PBS, the cells are lysed by cell lysate (20mM Tris, 150mM NaCl, 1% Triton X-100, 1mM EDTA), the cells are centrifuged for 10min at the temperature of 4 ℃ and the rpm, and the supernatant is collected.
As a preferred embodiment of the present invention, the step (3) includes: the kit is selected from SOD kit, CAT kit, MDA kit, GSH-PX kit, PGK kit, ATPase kit, CYP450 kit and RP kit, and is used for detecting biomarkers.
As a preferable technical scheme of the invention, the step (4) comprises the following steps: when A is larger than 0, the marker is induced, otherwise, the marker is inhibited.
As a preferable technical scheme of the invention, the step (4) comprises the following steps: the higher the IBRv2 value, the higher the sulfamethoxazole contamination level, the greater the biological contamination pressure effect.
As a preferable aspect of the present invention, the evaluation method includes:
a significant increase in SOD + ATPase and a significant decrease in PGK + MDA indicates that 10ng/L SMX is present;
significant elevation of CYP450 alone is indicative of SMX reaching 100 ng/L;
a significant increase in CAT and a significant decrease in MDA indicates that SMX is close to 1 μ g/L;
co-elevation of SOD + CYP450 indicates that SMX may exceed 1.2 μ g/L;
an increase in SOD alone in combination with a decrease in ATPase is indicative of an SMX of more than 1.5. mu.g/L;
a co-increase in RP and CAT indicates that SMX has reached 1.7. mu.g/L.
As a preferred embodiment of the present invention,
a significant increase in SOD + ATPase (Ai ═ 1.08, 0.53) and a significant decrease in PGK + MDA (Ai ═ 2.74, -2.39) indicated the presence of 10ng/L SMX;
a significant increase in CYP450 alone (Ai ═ 1.56) indicates an indication that SMX reached 100 ng/L;
a significant increase in CAT (Ai ═ 2.3) and a significant decrease in MDA means (Ai ═ 1.9) indicates that SMX is close to 1 μ g/L;
co-elevation of SOD + CYP450 means (Ai ═ 1.67, 1.07) indicates SMX exceeds 1.2 μ g/L;
an indication that increased SOD alone (Ai ═ 2.65) coupled with decreased ATPase (Ai ═ 1.54) indicates SMX exceeds 1.5 μ g/L;
a co-increase in RP and CAT (Ai ═ 1, 1.8) indicates that SMX has reached 1.7 μ g/L.
The beneficial effects of the invention compared with the prior art comprise:
1) a new method for detecting and evaluating the environment concentration of sulfamethoxazole by using the multiple biomarkers integrated analysis (IBR) of single-cell organisms is established;
2) the method comprises indicating standardized culture of organisms and detection and IBR calculation of 8 biomarkers;
3) the biomarker combination evaluation parameters of 6 concentrations of sulfamethoxazole are provided.
Drawings
FIG. 1 response of paramecium bifidus biomarkers to sulfamethoxazole
FIG. 2 analysis of correlation between biomarkers and sulfamethoxazole concentration
FIG. 3 analysis of 8 biomarkers IBR of paramecium caudatum
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, but the embodiments of the present invention are not limited thereto.
Example 1
1. Materials and methods
1.1 indicating organisms
Paramecium (Parameci μm ca μ dat μm), ciliate phylum, Oligomorpha, order Farinales, Paralithospermaceae, Paralithospermum. The fertilizer is widely distributed in still water with more organic matters. Is sensitive to the stimulation of environmental pollutants, and is often used for evaluation and research of the environmental pollutants.
1.2 cultivation of paramecium
The method can be used for collecting fresh water with rich plankton, selecting single cells, wheat grain culture solution, establishing a monoclonal culture system in a constant-temperature constant-humidity incubator at 20-25 ℃, performing starvation induced joint reproduction, performing large-scale pure culture, and taking individuals in logarithmic phase of growth for sulfamethoxazole detection.
1.3 setting of Sulfamethoxazole detection concentration Range
According to various literature reports and environmental monitoring reports, the sulfamethoxazole experimental concentration which can be detected in water and soil environments and organisms is comprehensively summarized and screened, the concentration range is determined to be 10 ng-1.7 mug/L, and 6 detection concentrations of 10ng, 100ng, 1 mug, 1.2 mug, 1.5 mug and 1.7 mug are set according to actual detection requirements in the range.
1.4 multiple biomarker assays
Taking insect solution with the density of 1000ind/ml, processing a sample to be detected for 24 hours, washing cells by PBS, cracking the cells by cell lysis solution (20mM Tris, 150mM NaCl, 1% Triton X-100, 1mM EDTA), centrifuging at 4 ℃ and 8000rpm for 10min, collecting supernatant, and detecting biomarkers by using an SOD kit, a CAT kit, an MDA kit, a GSH-PX kit, a PGK kit, an ATPase kit, a CYP450 kit and an RP kit respectively.
1.5 Integrated biomarker analysis (IBR)
The calculation steps are as follows:
firstly, standardization: all biomarker data were normalized to Y ═ log (X/X)0). Wherein X is the average of the results of each biomarker measured at each locus; x0Biomarker values for control sites.
Uniformization: the normalized value of each marker at each station was Z ═ Y-M)/S. Wherein Y is the normalization value of each biomarker; m is the total average value at all sites; s is the standard deviation of the normalized value for each biomarker at all positions.
And 3, assignment: calculating the deviation index A ═ Z-Z of each biomarker at each site0. Wherein Z is the normalized value of each marker at each site; z0Normalized to the marker at the control site. When A is larger than 0, the marker is induced, otherwise, the marker is inhibited.
Calculating IBRv 2: the sum of the absolute values of the deviation indices | a | of all markers at each station is first calculated and then divided by the number of biomarkers n. The calculation formula is as follows:
Figure BDA0003239378130000061
the higher the IBRv2 value, the higher the sulfamethoxazole contamination level, the greater the biological contamination pressure effect.
2. Results
2.1 response of Single biomarker to Sulfamethoxazole
Sulfamethoxazole treatment for 24 hours caused significant changes in multiple biomarkers in paramecium cells (fig. 1).
Wherein SOD enzyme activity (FIG. 1-A) was significantly increased under SMX stress at concentrations of 10ng, 100ng, 1.2. mu.g and 1.5. mu.g;
MDA levels (FIG. 1-B) were significantly reduced at 10ng, 1. mu.g and 1.7. mu.g concentrations;
CAT enzyme activity (FIG. 1-C), was significantly elevated at 100ng, 1. mu.g, 1.5. mu.g and 1.7. mu.g concentrations;
GSH-PX enzyme activity (fig. 1-D) was significantly higher than the control at SMX treatment concentrations of 1 μ g and 1.5 μ g, and significantly lower than the control at treatments of 10ng, 1.2 μ g and 1.7 μ g, with no significant change in the remaining concentrations;
the enzymatic activity of PGK (FIG. 1-E) was significantly reduced by SMX treatment at a concentration of 10ng, 1. mu.g, 1.2. mu.g, 1.7. mu.g;
ATPase activity (FIG. 1-F), significantly higher than control at concentrations of 10ng, 1. mu.g and 1.2. mu.g SMX, significantly lower than control at concentrations of 100ng, 1.5. mu.g and 1.7. mu.g SMX;
cellular RP content (fig. 1-G) was significantly increased with treatments at 1.5 μ G and 1.7 μ G, and significantly decreased under SMX stress except at 100ng concentration;
CYP450 activity (FIG. 1-H) was significantly elevated at SMX100ng and 1.2. mu.g concentrations, and significantly reduced at 10ng and 1.7. mu.g concentrations.
The results show that the reaction of any single biomarker to the exposure of sulfamethoxazole is not stable and uniform enough, and a comprehensive evaluation system of multiple biomarkers needs to be established.
2.2 biomarker correlation under Sulfamethoxazole stress at different concentrations
In order to construct a multi-clock biomarker comprehensive evaluation system, the correlation analysis of the biomarkers at different concentrations is analyzed (fig. 2), and the results show that: under the stress of sulfamethoxazole with different concentrations, 8 biomarkers have cross positive correlation, wherein 4 biomarkers, namely SOD, MDA, CYP450 and PGK, are most correlated with other markers.
Suggesting that oxidative stress and the tricarboxylic acid cycle may be the main biological mechanism of paramecium caudatum against sulfamethoxazole stress. Under 24hSMX stress, the response of these 4 markers can be shown to be stable as evidence of the presence of SMX contamination, especially with a significant increase in SOD and a significant decrease in MDA. However, the analysis of the correlation with concentration showed that only the increase in SOD was significantly correlated with the concentration.
Thus, the reaction of these markers is only qualitatively indicative of the presence of SMX contamination, but not quantitatively indicative of the extent of SMX contamination.
2.3 multiple biomarker integration assay (IBR)
The response of 8 paramecium biomarkers to 24h stress of sulfamethoxazole with 6 concentrations was analyzed by IBR integration, and the result is shown in FIG. 3.
A significant increase in SOD + ATPase and a significant decrease in PGK + MDA indicates that 10ng/L SMX is present;
significant elevation of CYP450 alone is indicative of SMX reaching 100 ng/L;
a significant increase in CAT and a significant decrease in MDA indicates that SMX is close to 1 μ g/L;
co-elevation of SOD + CYP450 indicates that SMX may exceed 1.2 μ g/L;
an increase in SOD alone in combination with a decrease in ATPase is indicative of an SMX of more than 1.5. mu.g/L;
whereas a co-increase in RP and CAT indicates that SMX has reached 1.7. mu.g/L.
Table 2: biomarker combination representative values
Figure BDA0003239378130000081
Comparative example
Selection of other species: the evaluation of zebra fish embryos, tubifex, zebra fish and zebra fish larvae is carried out according to the method, and the experimental results are shown in the following table 3, which is not as good as the effect of using paramecium.
Table 3: sulfamethoxazole marker for detecting other species and concentration range thereof
Figure BDA0003239378130000082
Figure BDA0003239378130000091
It will be understood by those skilled in the art that the foregoing is only a preferred embodiment of the present invention, and is not intended to limit the invention, and that any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the scope of the present invention.

Claims (9)

1. The method for detecting and evaluating the environmental risk of sulfamethoxazole by using the paramecium biomarker and IBR is characterized by comprising the following steps:
(1) culturing paramecium, selecting single cells for culturing, and taking individuals in logarithmic growth phase for sulfamethoxazole detection;
(2) selecting sulfamethoxazole solutions with different concentrations as detection samples;
(3) taking insect liquid with a certain density, after a sample to be detected is processed, washing cells by PBS, cracking the cells by cell lysate, centrifuging, collecting supernate, and detecting by biomarkers respectively;
(4) integrated biomarker analysis (IBR), calculated as follows:
firstly, standardization: all biomarker data were normalized to Y ═ log (X/X)0). Wherein X is the average of the results of each biomarker measured at each locus; x0Biomarker values for control sites;
uniformization: normalizing the normalization value of each marker at each position to be Z ═ (Y-M)/S, wherein Y is the normalization value of each biomarker; m is the total average value at all sites; s is the standard deviation of the normalized value of each biomarker at all the positions;
and 3, assignment: calculating the deviation index A ═ Z-Z of each biomarker at each site0Wherein Z is the normalized value of each marker at each station; z0Is the normalized value of the marker at the control site;
calculating IBRv 2: the sum of the absolute values of the deviation indices | a | of all markers at each station is first calculated and then divided by the number of biomarkers n. The calculation formula is as follows:
Figure FDA0003239378120000011
2. the method of claim 1, wherein step (1) comprises: the method can be used for collecting fresh water with rich plankton, selecting single cells, wheat grain culture solution, establishing a monoclonal culture system in a constant-temperature constant-humidity incubator at 20-25 ℃, performing starvation induced joint reproduction, performing large-scale pure culture, and taking individuals in logarithmic phase of growth for sulfamethoxazole detection.
3. The method of claim 1, wherein step (2) comprises: sulfamethoxazole concentrations range from 10ng to 1.7. mu.g/L, with 6 concentrations tested, 10ng, 100ng, 1. mu.g, 1.2. mu.g and 1.5. mu.g, 1.7. mu.g, set in this range.
4. The method of claim 1, wherein step (3) comprises: the insect solution with the density of 1000ind/ml is taken, after a sample to be detected is processed for 24 hours, cells are washed by PBS, the cells are lysed by cell lysate (20mM Tris, 150mM NaCl, 1% Triton X-100, 1mM EDTA), the cells are centrifuged for 10min at the temperature of 4 ℃ and the rpm, and the supernatant is collected.
5. The method of claim 1, wherein step (3) comprises: the kit is selected from SOD kit, CAT kit, MDA kit, GSH-PX kit, PGK kit, ATPase kit, CYP450 kit and RP kit, and is used for detecting biomarkers.
6. The method of claim 1, wherein step (4) comprises: when A is larger than 0, the marker is induced, otherwise, the marker is inhibited.
7. The method of claim 1, wherein step (4) comprises: the higher the IBRv2 value, the higher the sulfamethoxazole contamination level, the greater the biological contamination pressure effect.
8. The method according to claim 1, wherein the evaluation method comprises:
a significant increase in SOD + ATPase and a significant decrease in PGK + MDA indicates that 10ng/L SMX is present;
significant elevation of CYP450 alone is indicative of SMX reaching 100 ng/L;
a significant increase in CAT and a significant decrease in MDA indicates that SMX is close to 1 μ g/L;
co-elevation of SOD + CYP450 indicates that SMX may exceed 1.2 μ g/L;
an increase in SOD alone in combination with a decrease in ATPase is indicative of an SMX of more than 1.5. mu.g/L;
a co-increase in RP and CAT indicates that SMX has reached 1.7. mu.g/L.
9. The method according to claim 8, wherein a significant increase in SOD + ATPase (Ai ═ 1.08, 0.53) and a significant decrease in PGK + MDA (Ai ═ 2.74, -2.39) indicate the presence of 10ng/L SMX;
a significant increase in CYP450 alone (Ai ═ 1.56) indicates an indication that SMX reached 100 ng/L;
a significant increase in CAT (Ai ═ 2.3) and a significant decrease in MDA means (Ai ═ 1.9) indicates that SMX is close to 1 μ g/L;
co-elevation of SOD + CYP450 means (Ai ═ 1.67, 1.07) indicates SMX exceeds 1.2 μ g/L;
an indication that increased SOD alone (Ai ═ 2.65) coupled with decreased ATPase (Ai ═ 1.54) indicates SMX exceeds 1.5 μ g/L;
a co-increase in RP and CAT (Ai ═ 1, 1.8) indicates that SMX has reached 1.7 μ g/L.
CN202111014349.7A 2021-08-31 2021-08-31 Method for detecting and evaluating sulfamethoxazole environmental risk by using paramecium biomarker and IBR (intermediate frequency reference) Active CN113777293B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111014349.7A CN113777293B (en) 2021-08-31 2021-08-31 Method for detecting and evaluating sulfamethoxazole environmental risk by using paramecium biomarker and IBR (intermediate frequency reference)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111014349.7A CN113777293B (en) 2021-08-31 2021-08-31 Method for detecting and evaluating sulfamethoxazole environmental risk by using paramecium biomarker and IBR (intermediate frequency reference)

Publications (2)

Publication Number Publication Date
CN113777293A true CN113777293A (en) 2021-12-10
CN113777293B CN113777293B (en) 2023-09-05

Family

ID=78840555

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111014349.7A Active CN113777293B (en) 2021-08-31 2021-08-31 Method for detecting and evaluating sulfamethoxazole environmental risk by using paramecium biomarker and IBR (intermediate frequency reference)

Country Status (1)

Country Link
CN (1) CN113777293B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116769869A (en) * 2023-08-18 2023-09-19 哈尔滨工业大学(深圳)(哈尔滨工业大学深圳科技创新研究院) Method for detecting sulfamethoxazole environmental concentration and environmental risk

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2008022762A (en) * 2006-07-20 2008-02-07 Miyazakiken Sangyo Shien Zaidan Method, program and apparatus for evaluating high throughput function
US20140350129A1 (en) * 2011-09-07 2014-11-27 Genway Biotech, Inc. Diagnostic assay to predict cardiovascular risk
CN106442909A (en) * 2016-09-14 2017-02-22 中国海洋大学 Method for quantitatively evaluating marine environment change
CN109283306A (en) * 2018-09-11 2019-01-29 浙江大学 A kind of water environment endocrine disrupting evaluation method based on the response of zebra fish hormonal readiness
CN109283305A (en) * 2018-09-11 2019-01-29 浙江大学 A kind of Water Environment Health Risk evaluation method based on the response of zebra fish protein biology
CN110616269A (en) * 2019-09-24 2019-12-27 鲁东大学 Method for evaluating environment quality of Laizhouwan marine ranch based on organism response monitoring

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2008022762A (en) * 2006-07-20 2008-02-07 Miyazakiken Sangyo Shien Zaidan Method, program and apparatus for evaluating high throughput function
US20140350129A1 (en) * 2011-09-07 2014-11-27 Genway Biotech, Inc. Diagnostic assay to predict cardiovascular risk
CN106442909A (en) * 2016-09-14 2017-02-22 中国海洋大学 Method for quantitatively evaluating marine environment change
CN109283306A (en) * 2018-09-11 2019-01-29 浙江大学 A kind of water environment endocrine disrupting evaluation method based on the response of zebra fish hormonal readiness
CN109283305A (en) * 2018-09-11 2019-01-29 浙江大学 A kind of Water Environment Health Risk evaluation method based on the response of zebra fish protein biology
CN110616269A (en) * 2019-09-24 2019-12-27 鲁东大学 Method for evaluating environment quality of Laizhouwan marine ranch based on organism response monitoring

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116769869A (en) * 2023-08-18 2023-09-19 哈尔滨工业大学(深圳)(哈尔滨工业大学深圳科技创新研究院) Method for detecting sulfamethoxazole environmental concentration and environmental risk
CN116769869B (en) * 2023-08-18 2023-11-10 哈尔滨工业大学(深圳)(哈尔滨工业大学深圳科技创新研究院) Method for detecting sulfamethoxazole environmental concentration and environmental risk

Also Published As

Publication number Publication date
CN113777293B (en) 2023-09-05

Similar Documents

Publication Publication Date Title
Biggs et al. Using eDNA to develop a national citizen science-based monitoring programme for the great crested newt (Triturus cristatus)
Xiong et al. Zooplankton biodiversity monitoring in polluted freshwater ecosystems: A technical review
Harwood et al. Microbial source tracking markers for detection of fecal contamination in environmental waters: relationships between pathogens and human health outcomes
Drinkwater et al. Using metabarcoding to compare the suitability of two blood‐feeding leech species for sampling mammalian diversity in North Borneo
Bittner et al. Patterns of morphological changes and hybridization between sympatric whitefish morphs (Coregonus spp.) in a Swiss lake: a role for eutrophication?
Abbott et al. Guidance on the use of targeted environmental DNA (eDNA) analysis for the management of aquatic invasive species and species at risk
Perry et al. The role of ecology, neutral processes and antagonistic coevolution in an apparent sexual arms race
Wetton et al. The use of genetic markers for parentage analysis in Passer domesticus (house sparrows)
Barker Animal breeding and conservation genetics
CN113777293A (en) Method for detecting and evaluating sulfamethoxazole environmental risk by using paramecium biomarker and IBR (ion beam receptor)
Nazish et al. Microsatellite diversity and population structure of Hypophthalmicthys molitrix in hatchery populations of Punjab
Albuixech-Martí et al. Biotic and abiotic factors influencing haplosporidian species distribution in the cockle Cerastoderma edule in Ireland
Takahashi et al. First report of natural hybridization between two yellowtails, Seriola quinqueradiata and S. lalandi
Guenay et al. Limited detection of secondarily consumed plant food by DNA‐based diet analysis of omnivorous carabid beetles
Eanes et al. A study of sexual selection in natural populations of the milkweed beetle, Tetraopes tetraophthalmus
Pantel et al. Population differentiation in Daphnia alters community assembly in experimental ponds
Frischer et al. Accuracy and reliability of Dreissena spp. larvae detection by cross-polarized light microscopy, imaging flow cytometry, and polymerase chain reaction assays
CN113777291A (en) Method for detecting and evaluating environmental risk of levofloxacin by using paramecium biomarker and IBR (intermediate bulk density receptor)
CN113777292A (en) Method for detecting and evaluating tetracycline environmental risk by using paramecium biomarker and IBR (intermediate bulk density receptor)
Husseneder et al. Multilocus DNA fingerprinting and microsatellite genotyping: complementary molecular approaches to investigating colony and population genetic structure in subterranean termites
Zunino et al. Genomic evidence of genuine wild versus admixed olive populations evolving in the same natural environments in western Mediterranean Basin
Smith et al. Genome architecture used to supplement species delineation in two cryptic marine ciliates
Unlusoy Determination of declined genetic diversity of Holstein stud bulls based on microsatellite markers
Ahmadpour et al. Genetic diversity and structure of the Great Gerbil, Rhombomys opimus, in Iran (Mammalia: Rodentia)
Miyamoto et al. Differences in spatial autocorrelation between four sub-populations of Alnus trabeculosa Hand.-Mazz.(Betulaceae)

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant