Effects of chemicals are, in most cases, caused by internal concentrations within organisms which rely on uptake and elimination kinetics. These processes might be key components for assessing the effects of time-variable exposure of chemicals which regularly occur in aquatic systems. However, the knowledge of toxicokinetic patterns caused by time-variable exposure is limited, and gaining such information is complex. In this work, a previously developed mechanistic growth model of Myriophyllum spicatum is coupled with a newly developed toxicokinetic part, providing a model that is able to predict uptake and elimination of chemicals, as well as distribution processes between plant compartments (leaves, stems, roots) of M. spicatum. It is shown, that toxicokinetic patterns, at least for most of the investigated chemicals, can be calculated in agreement with experimental observations, by only calibrating two chemical- specific parameters, the cuticular permeability and a plant/water partition coefficient. Through the model-based determination of the cuticular permeabilities of Isoproturon, Iofensulfuron, Fluridone, Imazamox and Penoxsulam, their toxicokinetic pattern can be described with the model approach. For the use of the model for predicting toxicokinetics of other chemicals, where experimental data is not available, equations are presented that are based on the log (P oct/wat) of a chemical and estimate parameters that are necessary to run the model. In general, a method is presented to analyze time-variable exposure of chemicals more in detail without conducting time and labour intensive experiments.
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http://dx.doi.org/10.1016/j.chemosphere.2014.07.065 | DOI Listing |
JAMA Otolaryngol Head Neck Surg
January 2025
Department of Otolaryngology-Head and Neck Surgery, Medical University of South Carolina, Charleston.
Importance: Noise exposure is a major modifiable risk factor for hearing loss, yet it is not known whether it affects the rate of hearing decline in aging.
Objective: To determine the association of noise exposure history with the rate of pure-tone threshold change per year.
Design, Setting, And Participants: This longitudinal cohort study was conducted in the ongoing community-based Medical University of South Carolina Longitudinal Cohort Study of Age-Related Hearing Loss (1988 to present with the sample based in Charleston, South Carolina, and surrounding area).
Environ Sci Pollut Res Int
November 2024
School of Architecture, Technology and Engineering, University of Brighton, Brighton, UK.
Assessing exposure to environmental noise levels at transport corridors remains complex in conditions where no standardized noise prediction model is available. In planning and policy implementation for noise control, noise mapping is an important step. In the present study, land use regression model has been developed to predict the environmental noise levels in Delhi city, India, using previously developed approaches along with machine learning techniques, however improved using new datasets.
View Article and Find Full Text PDFBiol Psychiatry Cogn Neurosci Neuroimaging
November 2024
Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Psychiatry, Erasmus University Medical Center, Rotterdam, the Netherlands. Electronic address:
Environ Health Perspect
October 2024
National Center for Environmental Health, Agency for Toxic Substances and Disease Registry, US Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Background: Drinking water at US Marine Corps Base Camp Lejeune, North Carolina, was contaminated with trichloroethylene and other industrial solvents from 1953 to 1985.
Methods: A cohort cancer incidence study was conducted of Marines/Navy personnel who began service and were stationed at Camp Lejeune () or Camp Pendleton, California () between 1975 and 1985 and civilian workers employed at Camp Lejeune () or Camp Pendleton () between October 1972 and December 1985. Camp Pendleton's drinking water was not contaminated with industrial solvents.
J Toxicol Environ Health A
December 2024
Department of Environmental and Occupational Health, Chair in Toxicological Risk Assessment and Management, and Public Health Research Center (CReSP), University of Montreal, Montreal, Canada.
The aim of this study was to determine factors influencing observed increased metal biomarkers of exposure levels in a group of 116 Quebec apprentice welders during a longitudinal follow-up of exposure. Analysis of 14 metals was carried out in hair, fingernail, and toenail samples taken from participants over the course of their welding curriculum at 6 different times. Personal and socio-demographic characteristics, lifestyle habits, and other potential confounding factors were documented by questionnaire.
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