Suchergebnisse - "Chemical risk assessment"

Integrating ecological complexity and physiological traits into environmental risk assessments

Autoren: Khalid, Amina

Weitere Verfasser: University/Department: Universitat de Girona. Departament de Ciències Ambientals, University/Department: Universitat de Girona. Institut d'Ecologia Aquàtica

Thesis Advisors: Vila i Gispert, Anna, Guasch i Padró, Helena

Quelle: TDX (Tesis Doctorals en Xarxa)

Schlagwörter: Ecotoxicologia, Ecotoxicología, Ecotoxicology, Avaluació del risc ecològic, Evaluación del riesgo ecológico, Ecological risk assessment, Avaluació del risc químic, Chemical risk assessment, Estrès múltiple, Estrés múltiple, Multiple stressor, Característiques metabòliques, Características metabólicas, Metabolic traits, Seguretat ambiental, Seguridad ambiental, Environmental safety, Fisiologia dels peixos, Fisiología de los peces, Fish physiology

Dateibeschreibung: application/pdf

Zugangs-URL: http://hdl.handle.net/10803/695651

Quantitative assessment of human health risks from chemical pollution in the uMsunduzi River, South Africa

Autoren: Ngubane, Zesizwe Dzwairo, Bloodless Moodley, Brenda et al.

Quelle: Environmental Science and Pollution Research. 30(55):118013-118024

Schlagwörter: Heavy metals, Nitrates, Organochlorinated pesticides, Pharmaceuticals and personal care products, Phosphates, Quantitative chemical risk assessment

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-516221
https://doi.org/10.1007/s11356-023-30534-4

A critical review on the toxicological and epidemiological evidence integration for assessing human health risks to environmental chemical exposures

Autoren: Gabriele Donzelli Ronette Gehring Sivakumar Murugadoss et al.

Quelle: Reviews on Environmental Health. 40:427-436

Schlagwörter: 0301 basic medicine, 03 medical and health sciences, regulatory decision-making, chemical risk assessment, new approach methodologies, 01 natural sciences, adverse outcome pathways, harmonized approach, evidence integration, 0105 earth and related environmental sciences

Dateibeschreibung: application/pdf

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/39679553

Chemical mixture risk drivers and their heterogeneity in European freshwaters

Autoren: Jana Schor Tobias Schulze Nadin Ulrich et al.

Quelle: Environment International, Vol 205, Iss , Pp 109881- (2025)

Schlagwörter: Chemical pollution, Mixtures, Data re-use, Freshwater, Unintentional mixtures, Chemical risk assessment, Environmental sciences, GE1-350

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S0160412025006324; https://doaj.org/toc/0160-4120

Zugangs-URL: https://doaj.org/article/b5932d5f400248b39f8816d71028d1d1

Advances in Computational Tools for Chemical Toxicity Assessment: An Overview of Predictive Models and Their Applications in Regulatory Science

Autoren: Trisha Gowda S, G C Mamatha, B. Siva Kumar

Schlagwörter: Computational toxicology, QSAR models, molecular modelling, environmental fate, in silico tools, chemical risk assessment

Developing High-Throughput Meta-Metabolomics in Aquatic Periphyton to enhance chemical risk assessment

Autoren: Zi, Lin Eon, Mélissa Cassan, Cédric et al.

Weitere Verfasser: Zi, Lin Eon, Mélissa Cassan, Cédric et al.

Schlagwörter: [SDE] Environmental Sciences, Periphyton, Meta-metabolomics, Chemical risk assessment

Zugangs-URL: https://hal.science/hal-05173487v1

Developing High-Throughput Metabolomics in Aquatic Periphyton

Autoren: Zi, Lin Eon, Mélissa Cassans, Cédric et al.

Weitere Verfasser: Zi, Lin Eon, Mélissa Cassans, Cédric et al.

Schlagwörter: Periphyton, [CHIM] Chemical Sciences, Metabolome, Chemical risk assessment, Microbiome community

Dateibeschreibung: application/pdf

Zugangs-URL: https://hal.science/hal-05029663v1

An integrated environmental toxicity risk assessment framework combining deep learning and molecular simulation: A case study on pyrethrins and breast cancer

Autoren: Jinghui Sung Zikang Jiang Wen-Pei Sung et al.

Quelle: Biochemistry and Biophysics Reports, Vol 43, Iss , Pp 102141- (2025)

Schlagwörter: Integrative computational toxicology, Multi-omics data integration, Deep learning for drug–target interaction, Multi-scale molecular simulation, Environmental chemical risk assessment, Molecular docking and dynamics, Biology (General), QH301-705.5, Biochemistry, QD415-436

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2405580825002286; https://doaj.org/toc/2405-5808

Zugangs-URL: https://doaj.org/article/d4039f2fece74ef38b151fe6bdd290c8

Collecting perspectives on project prioritisation process in the EU co-funded multinational partnership for the assessment of risks from chemicals (PARC) through focus group discussion

Autoren: Katya Manuella Permana Maria Tannous Hanna Mouaziz et al.

Quelle: Environmental Sciences Europe, Vol 37, Iss 1, Pp 1-13 (2025)

Schlagwörter: PARC, Chemical risk assessment, Research and innovation need prioritisation, EU partnership coordination, Focus group discussion, Regulatory relevance, Environmental sciences, GE1-350, Environmental law, K3581-3598

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2190-4715

Zugangs-URL: https://doaj.org/article/d129960d99b24de78cb4be2ef40ff87c

Two-Stage Machine Learning-Based Approach to Predict Points of Departure for Human Noncancer and Developmental/Reproductive Effects

Autoren: Jacob Kvasnicka Nicolò Aurisano Kerstin von Borries et al.

Quelle: Environ Sci Technol
Kvasnicka, J, Aurisano, N, von Borries, K, Lu, E-H, Fantke, P, Jolliet, O, Wright, F A & Chiu, W A 2024, ' Two-Stage Machine Learning-Based Approach to Predict Points of Departure for Human Noncancer and Developmental/Reproductive Effects ', Environmental Science and Technology, vol. 58, no. 35, pp. 15638-15649 . https://doi.org/10.1021/acs.est.4c00172

Schlagwörter: Machine Learning, Life cycle impact assessment (LCIA), Reproduction, Machine learning, QSAR model, Chemical risk assessment, High-throughput screening, Humans, name=SDG 3 - Good Health and Well-being, Toxicity prediction, Risk Assessment

Dateibeschreibung: application/pdf

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/38693844
https://orbit.dtu.dk/en/publications/4a6aec29-c7b4-4419-a3df-8eb19bf728cf

How neurobehavior and brain development in alternative whole-organism models can contribute to prediction of developmental neurotoxicity

Autoren: Collins, Eva-Maria S. Hessel, E. V. S. Hughes, S. et al.

Weitere Verfasser: Collins, Eva-Maria S. Hessel, E. V. S. Hughes, S. et al.

Quelle: NeuroToxicology. 102:48-57

Schlagwörter: integrative context and highlight how they can augment current cell-based assays for more comprehensive and robust DNT screening of chemicals. Considering the limitations of all in vitro test systems, and resource demanding. Consequently, the planarian Dugesia japonica, Behavioral phenotyping, Animal Testing Alternatives, Risk Assessment, we review the strengths and the complementarity of these organisms in a novel, Toxicity Tests, and embryos of the zebrafish Danio rerio are all suited to low-cost HTS and each has unique strengths for DNT testing. Here, Animals, Humans, Reduce and Refine) models are urgently needed to complement cell-based DNT testing. These models can provide the necessary organismal context and be used to explore the impact of chemicals on brain function by linking molecular and/or cellular changes to behavioural readouts. The nematode Caenorhabditis elegans, Caenorhabditis elegans, Biology, Zebrafish, efforts have focused on revolutionizing DNT testing through affordable novel alternative methods for risk assessment. The goal is to develop a DNT in vitro test battery amenable to high-throughput screening (HTS). Currently, Danio rerio zebrafish, Behavior, Animal, Systems Biology, Brain, Planarians, Developmental neurotoxicity (DNT) is not routinely evaluated in chemical risk assessment because current test paradigms for DNT require the use of mammalian models which are ethically controversial, such cell-based assays alone are unable to capture the complexity of a developing nervous system. Whole organismal systems that qualify as 3 R (Replace, High-Throughput Screening Assays, we discuss how a smart combinatory use of these systems will contribute to a better human relevant risk assessment of chemicals that considers the complexity of the developing brain, Dugesia japonica planarians, Metabolism, expensive, the DNT in vitro test battery consists primarily of human cell-based assays because of their immediate relevance to human health. However, Neurotoxicity Syndromes, Developmental neurotoxicity

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/38552718
https://hdl.handle.net/10029/627521

Integrating emerging science to improve estimates of risk to wildlife from chemical exposure: What are the challenges?

Autoren: van den Brink, Nico W. Elliott, John E. Power, Beth et al.

Quelle: Integrated Environmental Assessment and Management. 20:645-657

Schlagwörter: Animals, Wild, Terrestrial vertebrates, 15. Life on land, Ecotoxicology, Risk Assessment, 3. Good health, New approach methods, Regulatory framework, 13. Climate action, North America, Chemical risk assessment, Animals, 14. Life underwater, Pesticides

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/38411383

AI and ML-based risk assessment of chemicals: predicting carcinogenic risk from chemical-induced genomic instability

Autoren: Singh, Ajay Vikram Bhardwaj, Preeti Laux, Peter et al.

Quelle: Front Toxicol
Frontiers in Toxicology, Vol 6 (2024)

Schlagwörter: Genomic instability, 0301 basic medicine, Artificial intelligence, Artificial Intelligence and Robotics, Clastogen-induced carcinogenesis, artificial intelligence (AI), Toxicology, 03 medical and health sciences, RA1190-1270, Machine learning, Chemical risk assessment, clastogen-induced carcinogenesis, Diagnostic and Therapeutic Techniques and Equipment, 0303 health sciences, machine learning (ML), Health Policy, chemical risk assessment, Computational Biology, Genetics and Genomics, Analytical, genomic instability, ML, AI, Toxicology. Poisons, Public Health, Risk Analysis

Dateibeschreibung: application/pdf

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/39659701
https://doaj.org/article/55134da738e84c8192da90743717e9f3

Intuitive toxicology in the 21st century—Bridging the perspectives of the public and risk assessors in Europe

Autoren: Angela Bearth Nicolas Roth Martin F. Wilks et al.

Quelle: Risk Analysis, 44 (10)

Schlagwörter: 0301 basic medicine, chemical risk assessment, intuitive toxicology, Toxicology, new approach methodologies, next-generation risk assessment, risk perception, Risk Assessment, 01 natural sciences, 3. Good health, Europe, 03 medical and health sciences, Public Opinion, Surveys and Questionnaires, Humans, 0105 earth and related environmental sciences

Dateibeschreibung: application/application/pdf

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/38490812
http://hdl.handle.net/20.500.11850/665738

Carcinogenic Chemicals in Occupational Settings: A Tool for Comparison and Translation between Different Classification Systems

Autoren: Carolina Zellino Andrea Spinazzè Francesca Borghi et al.

Quelle: Hygiene, Vol 4, Iss 1, Pp 103-114 (2024)

Schlagwörter: 0301 basic medicine, chemical risk assessment, carcinogens, CMR, occupational exposure, classifications of carcinogenicity, HD7260-7780.8, Industrial medicine. Industrial hygiene, 01 natural sciences, 3. Good health, RC963-969, 03 medical and health sciences, Industrial hygiene. Industrial welfare, 0105 earth and related environmental sciences

Dateibeschreibung: application/pdf; application/zip

Zugangs-URL: https://doaj.org/article/da5a6c81f49045a5adc0a93821fe858f

The upcoming European Soil Monitoring Law: An effective instrument for the protection of terrestrial ecosystems?

Autoren: Kotschik, Pia Princz, Juliska Silva, Claudia de Lima E et al.

Quelle: Integrated Environmental Assessment and Management. 20(2):316-321

Schlagwörter: Chemical risk assessment, environmental quality standards, regulatory framework, soil monitoring, soil protection

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-107824

Tools for Assessing Human Exposure to Chemicals with Limited Data

Autoren: John Wambaugh

Schlagwörter: Toxicology (incl. clinical toxicology), exposure science, TSCA, chemical risk assessment, NAMs

Relation: https://figshare.com/articles/presentation/Tools_for_Assessing_Human_Exposure_to_Chemicals_with_Limited_Data/29100443

Verfügbarkeit: https://doi.org/10.23645/epacomptox.29100443.v1
https://figshare.com/articles/presentation/Tools_for_Assessing_Human_Exposure_to_Chemicals_with_Limited_Data/29100443

ExpoCast: NAMs for Exposure

Autoren: John Wambaugh

Schlagwörter: Toxicology (incl. clinical toxicology), ExpoCast, NAMs, Exposure, Chemical Risk Assessment

Relation: https://figshare.com/articles/presentation/ExpoCast_NAMs_for_Exposure/28316636

Verfügbarkeit: https://doi.org/10.23645/epacomptox.28316636.v1
https://figshare.com/articles/presentation/ExpoCast_NAMs_for_Exposure/28316636

Ecotoxicity prediction of chemical compounds using machine learning and different molecular structure representations

Autoren: Michał Marek Rafał Kurczab

Quelle: Green Analytical Chemistry, Vol 13, Iss , Pp 100273- (2025)

Schlagwörter: Machine learning, Ecotoxicity, Chemical risk assessment, Hazardous concentration, USEtox, QSPR, Analytical chemistry, QD71-142

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2772577425000692; https://doaj.org/toc/2772-5774

Zugangs-URL: https://doaj.org/article/babbf98d94e14ad8b929a707a442e17e

Phosphorescent cyclometalated platinum(ii) complexes with phenyldiazine N^C ligands

Autoren: Hruzd, Mariia Kahlal, Samia Le Poul, Nicolas et al.

Weitere Verfasser: Hruzd, Mariia Kahlal, Samia Le Poul, Nicolas et al.

Quelle: Dalton Transactions. 52:1927-1938

Schlagwörter: expert elicitation, Chemical risk assessment chemical risk matrix expert elicitation real work situation, real work situation, [CHIM] Chemical Sciences, Chemical risk assessment, [CHIM]Chemical Sciences, chemical risk matrix, 02 engineering and technology, 0210 nano-technology, 01 natural sciences, 0104 chemical sciences

Dateibeschreibung: application/pdf

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/36722926
https://univ-rennes.hal.science/hal-04016070v1
https://doi.org/10.1039/d2dt03690h
https://univ-rennes.hal.science/hal-04016070v1/document