Human Biomonitoring in Health Risk Assessment Current Practices and Recommendations for the Future
Europe's zero-pollution agenda should depart from an understanding of how the European citizens' bodies are polluted by synthetic chemicals and prioritize the reduction of the chemical body burden and associated health impacts. In this context, Human Biomonitoring (HBM) is an important and...
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Format: | Electronic Book Chapter |
Language: | English |
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Basel
MDPI - Multidisciplinary Digital Publishing Institute
2023
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Online Access: | DOAB: download the publication DOAB: description of the publication |
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100 | 1 | |a Rousselle, Christophe |4 edt | |
700 | 1 | |a Rousselle, Christophe |4 oth | |
245 | 1 | 0 | |a Human Biomonitoring in Health Risk Assessment |b Current Practices and Recommendations for the Future |
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520 | |a Europe's zero-pollution agenda should depart from an understanding of how the European citizens' bodies are polluted by synthetic chemicals and prioritize the reduction of the chemical body burden and associated health impacts. In this context, Human Biomonitoring (HBM) is an important and valuable tool for assessing the internal exposure of humans resulting from aggregated exposure to chemicals. Though many obstacles still hinder the use of HBM data, the growing availability of HBM data offers an opportunity for improving and refining Human Risk Assessment. This Special Issue intends to illustrate, using case studies, how HBM data could be used to better estimate internal exposure and resulting risks. Case studies on exposure from consumer products (cosmetic products, non-food products, etc.) or exposures via food or water in the general population or among workers contributed to better identifying the obstacles hindering a broader use of HBM data in RA. A better understanding of population exposure and the exposure of vulnerable groups against health-based human biomonitoring guidance values also provides the basis for effective risk management to reduce impacts on health. I would like to thank all the authors for submitting their original contributions to this Special Issue. We greatly appreciate the support of all the reviewers who spent time evaluating and improving the quality of the manuscripts. I would also like to thank the editors of Toxics for their kind invitation and Selena Li of the Toxics Editorial Office for her invaluable support. | ||
540 | |a Creative Commons |f https://creativecommons.org/licenses/by/4.0/ |2 cc |4 https://creativecommons.org/licenses/by/4.0/ | ||
546 | |a English | ||
650 | 7 | |a Medicine |2 bicssc | |
650 | 7 | |a Medical toxicology |2 bicssc | |
653 | |a biomonitoring | ||
653 | |a nanoparticles | ||
653 | |a lung diseases | ||
653 | |a mineralogical analysis of broncho-alveolar lavages | ||
653 | |a occupational exposure | ||
653 | |a human biomonitoring | ||
653 | |a UV filters | ||
653 | |a benzophenone-3 | ||
653 | |a HBM4EU | ||
653 | |a risk assessment | ||
653 | |a RCR | ||
653 | |a margin of safety | ||
653 | |a oxidative stress | ||
653 | |a MDA | ||
653 | |a systematic review | ||
653 | |a meta-analysis | ||
653 | |a urinary biomarker | ||
653 | |a reference range | ||
653 | |a general population | ||
653 | |a pesticides | ||
653 | |a exposure | ||
653 | |a operators | ||
653 | |a workers | ||
653 | |a residents | ||
653 | |a bystanders | ||
653 | |a tree-grown produce | ||
653 | |a fruits | ||
653 | |a vine | ||
653 | |a systemic exposure | ||
653 | |a paints production | ||
653 | |a TiO2 powders | ||
653 | |a biological monitoring | ||
653 | |a exhaled breath condensate | ||
653 | |a occupational health | ||
653 | |a ortho-toluidine | ||
653 | |a urinary mass-balance | ||
653 | |a PBPK modelling | ||
653 | |a human biomonitoring (HBM) | ||
653 | |a internal exposure | ||
653 | |a biomarkers | ||
653 | |a endocrine disruptors | ||
653 | |a bisphenol A (BPA) | ||
653 | |a bisphenol S (BPS) | ||
653 | |a bisphenols | ||
653 | |a human biomonitoring guidance value (HBM-GV) | ||
653 | |a physiologically based pharmacokinetic modelling (PBPK) | ||
653 | |a organophosphorus flame retardants | ||
653 | |a dietary exposure | ||
653 | |a children | ||
653 | |a malondialdehyde | ||
653 | |a reference values | ||
653 | |a benzene | ||
653 | |a COVID-19 pandemic | ||
653 | |a lockdown | ||
653 | |a Rome | ||
653 | |a elements | ||
653 | |a urban traffic | ||
653 | |a metabolomics | ||
653 | |a dimethylformamide | ||
653 | |a DMF | ||
653 | |a HBM-GV | ||
653 | |a guidance value | ||
653 | |a biomarker | ||
653 | |a toxicokinetics | ||
653 | |a health effects | ||
653 | |a liver | ||
653 | |a carcinogenicity | ||
653 | |a reprotoxic effects | ||
653 | |a chlorpyrifos | ||
653 | |a pesticide exposure | ||
653 | |a pesticide risk assessment | ||
653 | |a mercury | ||
653 | |a methylmercury | ||
653 | |a European Human Biomonitoring Initiative (HBM4EU) | ||
653 | |a co-exposure | ||
653 | |a workplace | ||
653 | |a mixture risk assessment (MRA) | ||
653 | |a adipose tissue | ||
653 | |a meta-regression | ||
653 | |a partition coefficients | ||
653 | |a persistent organic pollutants | ||
653 | |a n/a | ||
856 | 4 | 0 | |a www.oapen.org |u https://mdpi.com/books/pdfview/book/7111 |7 0 |z DOAB: download the publication |
856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/100018 |7 0 |z DOAB: description of the publication |