DOI: 10.1016/j.marpolbul.2017.03.072
Scopus记录号: 2-s2.0-85017109665
论文题名: Aquatic ecotoxicological models and their applicability in Arctic regions
作者: Fahd F. ; Khan F. ; Veitch B. ; Yang M.
刊名: Marine Pollution Bulletin
ISSN: 0025-326X
EISSN: 1879-3363
出版年: 2017
卷: 120, 期: 2018-01-02 起始页码: 428
结束页码: 437
语种: 英语
英文关键词: Arctic aquatic organisms
; Ecological risk assessment
; Ecotoxicogenomics
; Metabolomics
; Toxicodynamic models
; Toxicokinetics
Scopus关键词: Aquatic organisms
; Ecology
; Metabolites
; Molecular graphics
; Toxicity
; Dose response relationships
; Dose-response modeling
; Ecological risk assessment
; Ecotoxicogenomics
; Ecotoxicological model
; Metabolomics
; Quantitative structure activity relationship
; Toxicokinetics
; Risk assessment
; aquatic environment
; concentration (composition)
; ecotoxicology
; metabolite
; modeling
; risk assessment
; toxicity
; Arctic
; Article
; bioaccumulation
; cell damage
; chemical interaction
; concentration (parameters)
; ecotoxicology
; environmental exposure
; environmental factor
; mathematical model
; nonhuman
; quantitative structure activity relation
; risk assessment
; toxicokinetics
; ecology
; risk assessment
; theoretical model
; Arctic
; Arctic Regions
; Ecology
; Ecotoxicology
; Models, Theoretical
; Risk Assessment
Scopus学科分类: Agricultural and Biological Sciences: Aquatic Science
; Earth and Planetary Sciences: Oceanography
; Environmental Science: Pollution
英文摘要: Dose-response modeling is one of the most important steps of ecological risk assessment. It requires concentration-effects relationships for the species under consideration. There are very limited studies and experimental data available for the Arctic aquatic species. Lack of toxicity data hinders obtaining dose-response relationships for lethal (LC50 values), sub-lethal and carcinogenic effects. Gaps in toxicity data could be filled using a variety of in-silico ecotoxicological methods. This paper reviews the suitability of such methods for the Arctic scenario. Mechanistic approaches like toxicokinetic and toxicodynamic analysis are found to be better suited for interspecies extrapolation than statistical methods, such as Quantitative Structure-Activity Relationships/Quantitative Structure Activity-Activity Relationship, ICE, and other empirical models, such as Haber's law and Ostwald's equation. A novel approach is proposed where the effects of the toxicant exposure are quantified based on the probability of cellular damage and metabolites interactions. This approach recommends modeling cellular damage using a toxicodynamic model and physiology or metabolites interactions using a toxicokinetic model. Together, these models provide more reliable estimates of toxicity in the Arctic aquatic species, which will assist in conducting ecological risk assessment of Arctic environment. © 2017 Elsevier Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/88100
Appears in Collections: 过去全球变化的重建 全球变化的国际研究计划
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作者单位: Centre for Risk, Integrity and Safety Engineering (CRISE), Faculty of Engineering and Applied Science, Memorial University of Newfoundland, St. John's, NL, Canada; Department of Chemical Engineering, School of Engineering, Nazarbayev University, Astana, Kazakhstan
Recommended Citation:
Fahd F.,Khan F.,Veitch B.,et al. Aquatic ecotoxicological models and their applicability in Arctic regions[J]. Marine Pollution Bulletin,2017-01-01,120(2018-01-02)