Zobrazeno 1 - 10
of 106
pro vyhledávání: '"Jon A, Arnot"'
Publikováno v:
Journal of Cheminformatics, Vol 16, Iss 1, Pp 1-16 (2024)
Abstract This study describes the development and evaluation of six new models for predicting physical–chemical (PC) properties that are highly relevant for chemical hazard, exposure, and risk estimation: solubility (in water S W and octanol S O ),
Externí odkaz:
https://doaj.org/article/4720a140ae3949bda02684dcbdd0cf90
Publikováno v:
Water Research X, Vol 22, Iss , Pp 100219- (2024)
Reliable estimation of chemical sorption from water to solid phases is an essential prerequisite for reasonable assessments of chemical hazards and risks. However, current fate and exposure models mostly rely on algorithms that lack the capability to
Externí odkaz:
https://doaj.org/article/e31a6a6d1ddf42eeb1809ea7f3acdc1d
Autor:
Ina Bischof, Jon A. Arnot, Heinrich Jürling, Georg Knipschild, Christian Schlechtriem, Anna Schauerte, Helmut Segner
Publikováno v:
Frontiers in Toxicology, Vol 4 (2022)
Biotransformation assays using primary hepatocytes from rainbow trout, Oncorhynchus mykiss, were validated as a reliable in vitro tool to predict in vivo bioconcentration factors (BCF) of chemicals in fish. Given the pronounced interspecies differenc
Externí odkaz:
https://doaj.org/article/82860884b6ac42d88527c9484bfaef36
Publikováno v:
Frontiers in Toxicology, Vol 4 (2022)
As toxicologists and risk assessors move away from animal testing and more toward using in vitro models and biological modeling, it is necessary to produce tools to quantify the chemical distribution within the in vitro environment prior to extrapola
Externí odkaz:
https://doaj.org/article/9a47dd5fa13344ad8eb4412c61a45963
Publikováno v:
Environment International, Vol 154, Iss , Pp 106557- (2021)
This study describes the development and intercomparison of generic physiologically-based toxicokinetic (PBTK) models for humans comprised of internally consistent one-compartment (1Co-) and multi-compartment (MCo-) implementations (G-PBTK). The G-PB
Externí odkaz:
https://doaj.org/article/325672e92281448990c4943337adbfac
Publikováno v:
Environment International, Vol 122, Iss , Pp 117-129 (2019)
Background: Chemical biomarker concentrations are driven by complex interactions between chemical use patterns, exposure pathways, and toxicokinetic parameters such as biological half-lives. Criteria to differentiate legacy from current exposures are
Externí odkaz:
https://doaj.org/article/094f9d8ee8fe4cdc920e0b4b6d18a7ad
Publikováno v:
Environment International, Vol 146, Iss , Pp 106266- (2021)
In indoor environments, humans ingest chemicals present as surface residues and bound to settled particles (dust), through mouthing hands (hand-to-mouth transfer) and objects (object-to-mouth transfer). Here, we introduce a novel modeling approach in
Externí odkaz:
https://doaj.org/article/39e0cd34a2904e7da316073aa1b8078c
Autor:
Jon A. Arnot, Liisa Toose, James M. Armitage, Alessandro Sangion, Alexandra Looky, Trevor N. Brown, Li Li, Richard A. Becker
Publikováno v:
Journal of Exposure Science & Environmental Epidemiology. 32:877-884
Background Threshold of Toxicological Concern (TTC) approaches are used for chemical safety assessment and risk-based priority setting for data poor chemicals. TTCs are derived from in vivo No Observed Effect Level (NOEL) datasets involving an extern
Update and Evaluation of a High-Throughput In Vitro Mass Balance Distribution Model: IV-MBM EQP v2.0
Publikováno v:
Toxics, Vol 9, Iss 11, p 315 (2021)
This study demonstrates the utility of an updated mass balance model for predicting the distribution of organic chemicals in in vitro test systems (IV-MBM EQP v2.0) and evaluates its performance with empirical data. The IV-MBM EQP v2.0 tool was param
Externí odkaz:
https://doaj.org/article/852c45b01bc74d2ca5b94e5992b1a138
Autor:
Li Li, Zhizhen Zhang, Yujie Men, Sivani Baskaran, Alessandro Sangion, Shenghong Wang, Jon A. Arnot, Frank Wania
Publikováno v:
ACS environmental Au, vol 2, iss 5
Reliable chemical property data are the key to defensible and unbiased assessments of chemical emissions, fate, hazard, exposure, and risks. However, the retrieval, evaluation, and use of reliable chemical property data can often be a formidable chal