NL2037507A - Method for assessing ecological risk of antibiotics simultaneously including parent compounds and transformation products in water bodies - Google Patents
Method for assessing ecological risk of antibiotics simultaneously including parent compounds and transformation products in water bodies Download PDFInfo
- Publication number
- NL2037507A NL2037507A NL2037507A NL2037507A NL2037507A NL 2037507 A NL2037507 A NL 2037507A NL 2037507 A NL2037507 A NL 2037507A NL 2037507 A NL2037507 A NL 2037507A NL 2037507 A NL2037507 A NL 2037507A
- Authority
- NL
- Netherlands
- Prior art keywords
- antibiotics
- transformation products
- parent compounds
- ecological
- data
- Prior art date
Links
- 230000009466 transformation Effects 0.000 title claims abstract description 105
- 150000001875 compounds Chemical class 0.000 title claims abstract description 103
- 239000003242 anti bacterial agent Substances 0.000 title claims abstract description 96
- 229940088710 antibiotic agent Drugs 0.000 title claims abstract description 96
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 title claims abstract description 37
- 238000000034 method Methods 0.000 title claims abstract description 30
- 230000001988 toxicity Effects 0.000 claims abstract description 27
- 231100000419 toxicity Toxicity 0.000 claims abstract description 27
- 238000012502 risk assessment Methods 0.000 claims abstract description 22
- 238000004458 analytical method Methods 0.000 claims abstract description 15
- 238000005070 sampling Methods 0.000 claims abstract description 9
- 238000007781 pre-processing Methods 0.000 claims abstract description 7
- 230000004044 response Effects 0.000 claims description 22
- 239000002957 persistent organic pollutant Substances 0.000 claims description 18
- 231100000048 toxicity data Toxicity 0.000 claims description 15
- 230000003115 biocidal effect Effects 0.000 claims description 14
- 230000007665 chronic toxicity Effects 0.000 claims description 14
- 231100000160 chronic toxicity Toxicity 0.000 claims description 14
- OKKJLVBELUTLKV-UHFFFAOYSA-N Methanol Chemical compound OC OKKJLVBELUTLKV-UHFFFAOYSA-N 0.000 claims description 12
- 238000011002 quantification Methods 0.000 claims description 12
- 238000000132 electrospray ionisation Methods 0.000 claims description 10
- 231100000492 no effect concentration Toxicity 0.000 claims description 9
- 238000012216 screening Methods 0.000 claims description 9
- IJGRMHOSHXDMSA-UHFFFAOYSA-N Atomic nitrogen Chemical compound N#N IJGRMHOSHXDMSA-UHFFFAOYSA-N 0.000 claims description 8
- 231100000369 acute toxicity data Toxicity 0.000 claims description 7
- 239000000126 substance Substances 0.000 claims description 7
- 238000004896 high resolution mass spectrometry Methods 0.000 claims description 6
- 238000012545 processing Methods 0.000 claims description 6
- 238000004364 calculation method Methods 0.000 claims description 5
- 239000012634 fragment Substances 0.000 claims description 5
- 238000007637 random forest analysis Methods 0.000 claims description 5
- 238000010828 elution Methods 0.000 claims description 4
- 229910052757 nitrogen Inorganic materials 0.000 claims description 4
- 238000002203 pretreatment Methods 0.000 claims description 4
- 238000010926 purge Methods 0.000 claims description 4
- 238000010276 construction Methods 0.000 claims description 3
- 230000004069 differentiation Effects 0.000 claims description 3
- 238000000605 extraction Methods 0.000 claims description 3
- 230000014759 maintenance of location Effects 0.000 claims description 3
- 238000005374 membrane filtration Methods 0.000 claims description 3
- 238000002414 normal-phase solid-phase extraction Methods 0.000 claims description 3
- 238000001195 ultra high performance liquid chromatography Methods 0.000 claims description 3
- 230000005686 electrostatic field Effects 0.000 claims description 2
- 239000002131 composite material Substances 0.000 claims 1
- 238000004949 mass spectrometry Methods 0.000 abstract description 7
- 238000007405 data analysis Methods 0.000 abstract description 3
- 239000007788 liquid Substances 0.000 abstract description 3
- 239000000047 product Substances 0.000 description 69
- 239000000523 sample Substances 0.000 description 9
- 230000000875 corresponding effect Effects 0.000 description 6
- 238000000844 transformation Methods 0.000 description 6
- 239000000243 solution Substances 0.000 description 5
- 231100000720 measured environmental concentration Toxicity 0.000 description 4
- 230000000694 effects Effects 0.000 description 3
- 239000000575 pesticide Substances 0.000 description 3
- 241000195628 Chlorophyta Species 0.000 description 2
- 241000238578 Daphnia Species 0.000 description 2
- 231100000111 LD50 Toxicity 0.000 description 2
- 238000013051 Liquid chromatography–high-resolution mass spectrometry Methods 0.000 description 2
- 241001465754 Metazoa Species 0.000 description 2
- 238000004590 computer program Methods 0.000 description 2
- 230000001186 cumulative effect Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 239000003344 environmental pollutant Substances 0.000 description 2
- 239000002207 metabolite Substances 0.000 description 2
- 239000000203 mixture Substances 0.000 description 2
- 231100000719 pollutant Toxicity 0.000 description 2
- 241000894007 species Species 0.000 description 2
- JLKIGFTWXXRPMT-UHFFFAOYSA-N sulphamethoxazole Chemical class O1C(C)=CC(NS(=O)(=O)C=2C=CC(N)=CC=2)=N1 JLKIGFTWXXRPMT-UHFFFAOYSA-N 0.000 description 2
- 239000002352 surface water Substances 0.000 description 2
- 238000004885 tandem mass spectrometry Methods 0.000 description 2
- 241000251468 Actinopterygii Species 0.000 description 1
- 208000031295 Animal disease Diseases 0.000 description 1
- 241000282412 Homo Species 0.000 description 1
- 238000009825 accumulation Methods 0.000 description 1
- 239000000654 additive Substances 0.000 description 1
- 230000000996 additive effect Effects 0.000 description 1
- 230000000844 anti-bacterial effect Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 229940000425 combination drug Drugs 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000006731 degradation reaction Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 238000003912 environmental pollution Methods 0.000 description 1
- 238000001704 evaporation Methods 0.000 description 1
- 230000008020 evaporation Effects 0.000 description 1
- 210000003608 fece Anatomy 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 238000013467 fragmentation Methods 0.000 description 1
- 238000006062 fragmentation reaction Methods 0.000 description 1
- 239000011521 glass Substances 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 239000010842 industrial wastewater Substances 0.000 description 1
- 239000012528 membrane Substances 0.000 description 1
- 230000037230 mobility Effects 0.000 description 1
- GHNQGDUYHCZZPT-UHFFFAOYSA-N nitrososulfamethoxazole Chemical compound O1C(C)=CC(NS(=O)(=O)C=2C=CC(=CC=2)N=O)=N1 GHNQGDUYHCZZPT-UHFFFAOYSA-N 0.000 description 1
- 239000002245 particle Substances 0.000 description 1
- 230000002688 persistence Effects 0.000 description 1
- 239000000447 pesticide residue Substances 0.000 description 1
- 229920000136 polysorbate Polymers 0.000 description 1
- 230000002265 prevention Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000000746 purification Methods 0.000 description 1
- 239000010865 sewage Substances 0.000 description 1
- 239000007790 solid phase Substances 0.000 description 1
- 230000003595 spectral effect Effects 0.000 description 1
- 229960005404 sulfamethoxazole Drugs 0.000 description 1
- 210000002700 urine Anatomy 0.000 description 1
- 238000004065 wastewater treatment Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N30/00—Investigating or analysing materials by separation into components using adsorption, absorption or similar phenomena or using ion-exchange, e.g. chromatography or field flow fractionation
- G01N30/02—Column chromatography
- G01N30/88—Integrated analysis systems specially adapted therefor, not covered by a single one of the groups G01N30/04 - G01N30/86
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N30/00—Investigating or analysing materials by separation into components using adsorption, absorption or similar phenomena or using ion-exchange, e.g. chromatography or field flow fractionation
- G01N30/02—Column chromatography
- G01N30/62—Detectors specially adapted therefor
- G01N30/72—Mass spectrometers
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N30/00—Investigating or analysing materials by separation into components using adsorption, absorption or similar phenomena or using ion-exchange, e.g. chromatography or field flow fractionation
- G01N30/02—Column chromatography
- G01N30/86—Signal analysis
- G01N30/8693—Models, e.g. prediction of retention times, method development and validation
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16C—COMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
- G16C20/00—Chemoinformatics, i.e. ICT specially adapted for the handling of physicochemical or structural data of chemical particles, elements, compounds or mixtures
- G16C20/70—Machine learning, data mining or chemometrics
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N30/00—Investigating or analysing materials by separation into components using adsorption, absorption or similar phenomena or using ion-exchange, e.g. chromatography or field flow fractionation
- G01N30/02—Column chromatography
- G01N2030/022—Column chromatography characterised by the kind of separation mechanism
- G01N2030/027—Liquid chromatography
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N30/00—Investigating or analysing materials by separation into components using adsorption, absorption or similar phenomena or using ion-exchange, e.g. chromatography or field flow fractionation
- G01N30/02—Column chromatography
- G01N30/88—Integrated analysis systems specially adapted therefor, not covered by a single one of the groups G01N30/04 - G01N30/86
- G01N2030/8809—Integrated analysis systems specially adapted therefor, not covered by a single one of the groups G01N30/04 - G01N30/86 analysis specially adapted for the sample
Landscapes
- General Health & Medical Sciences (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Physics & Mathematics (AREA)
- Pathology (AREA)
- Immunology (AREA)
- General Physics & Mathematics (AREA)
- Biochemistry (AREA)
- Engineering & Computer Science (AREA)
- Software Systems (AREA)
- Artificial Intelligence (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Computing Systems (AREA)
- Theoretical Computer Science (AREA)
- Crystallography & Structural Chemistry (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Databases & Information Systems (AREA)
- Medical Informatics (AREA)
- Data Mining & Analysis (AREA)
- Evolutionary Computation (AREA)
- Other Investigation Or Analysis Of Materials By Electrical Means (AREA)
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202311205259.5A CN116930393B (zh) | 2023-09-19 | 2023-09-19 | 一种同时包括母体和转化产物的水体抗生素生态风险评价方法 |
Publications (1)
Publication Number | Publication Date |
---|---|
NL2037507A true NL2037507A (en) | 2024-05-24 |
Family
ID=88381170
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
NL2037507A NL2037507A (en) | 2023-09-19 | 2024-04-21 | Method for assessing ecological risk of antibiotics simultaneously including parent compounds and transformation products in water bodies |
Country Status (2)
Country | Link |
---|---|
CN (1) | CN116930393B (zh) |
NL (1) | NL2037507A (zh) |
Families Citing this family (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN117316292B (zh) * | 2023-11-30 | 2024-01-30 | 北京大学 | 基于细菌-古菌-真菌共现网络评价抗生素生态效应的方法 |
Family Cites Families (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
AU2021106280A4 (en) * | 2021-08-21 | 2021-11-04 | Nanjing Institute of Environmental Sciences.MEE | A Method of Water Environment Risk Assessment Based on Fuzzy Integral Model |
CN115526445A (zh) * | 2022-06-02 | 2022-12-27 | 北京大学 | 基于生态风险加权频率的水体优控有机污染物筛查方法 |
CN115308319A (zh) * | 2022-06-28 | 2022-11-08 | 北京大学 | 一种全氟及多氟烷基化合物非靶向筛查的定量方法 |
-
2023
- 2023-09-19 CN CN202311205259.5A patent/CN116930393B/zh active Active
-
2024
- 2024-04-21 NL NL2037507A patent/NL2037507A/en unknown
Also Published As
Publication number | Publication date |
---|---|
CN116930393A (zh) | 2023-10-24 |
CN116930393B (zh) | 2023-12-26 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Hernandez et al. | The role of analytical chemistry in exposure science: Focus on the aquatic environment | |
NL2037507A (en) | Method for assessing ecological risk of antibiotics simultaneously including parent compounds and transformation products in water bodies | |
Smith et al. | Perchlorate in water, soil, vegetation, and rodents collected from the Las Vegas Wash, Nevada, USA | |
Ärje et al. | Automatic image‐based identification and biomass estimation of invertebrates | |
Chen et al. | Source apportionment of trace metals in river sediments: A comparison of three methods | |
Pochodylo et al. | Emerging investigators series: prioritization of suspect hits in a sensitive suspect screening workflow for comprehensive micropollutant characterization in environmental samples | |
Kuzmanovic et al. | Environmental stressors as a driver of the trait composition of benthic macroinvertebrate assemblages in polluted Iberian rivers | |
Parsons et al. | The effect of habitat‐specific sampling on biological assessment of water quality using a predictive model | |
Chapman | Presentation and interpretation of sediment quality triad data | |
Booij et al. | Identification of photosynthesis inhibitors of pelagic marine algae using 96-well plate microfractionation for enhanced throughput in effect-directed analysis | |
Ribas et al. | Can ants be used as indicators of environmental impacts caused by arsenic? | |
Brua et al. | Comparison of benthic macroinvertebrate communities by two methods: Kick-and U-net sampling | |
Dávila-Santiago et al. | Machine learning applications for chemical fingerprinting and environmental source tracking using non-target chemical data | |
Nikolopoulou et al. | TrendProbe: time profile analysis of emerging contaminants by LC-HRMS non-target screening and deep learning convolutional neural network | |
Alric et al. | Multisubstance indicators based on caged Gammarus bioaccumulation reveal the influence of chemical contamination on stream macroinvertebrate abundances across France | |
CN112198144A (zh) | 一种快速污水溯源的方法及系统 | |
Schornobay-Lui et al. | Prediction of short and medium term PM10 concentration using artificial neural networks | |
CN112270633A (zh) | 一种基于大数据驱动的公益诉讼线索研判系统和方法 | |
Yun et al. | A novel method for micropollutant quantification using deep learning and multi-objective optimization | |
Gevrey et al. | Modeling the chemical and toxic water status of the Scheldt basin (Belgium), using aquatic invertebrate assemblages and an advanced modeling method | |
Chen et al. | Deep-learning-based automated tracking and counting of living plankton in natural aquatic environments | |
Chiu et al. | NMR-based metabolomics for the environmental assessment of Kaohsiung Harbor sediments exemplified by a marine amphipod (Hyalella azteca) | |
Rivera-Pérez et al. | Effect of mining on the EPT (Ephemeroptera, Plecoptera and Trichoptera) assemblage of Amazonian streams based on their environmental specificity | |
Fanelli et al. | Presence of 2, 3, 7, 8-tetrachlorodibenzo-p-dioxin in wildlife living near Seveso, Italy: a preliminary study | |
Hatami et al. | Rapid bioassessment of macroinvertebrate communities is suitable for monitoring the impacts of fish farm effluents |