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Enregistrement W2166915302 · doi:10.1061/40927(243)140

Incidence and Toxicological Significance of Selected Endocrine Disrupting Chemicals (EDCs) in Drinking Water

2007· article· en· W2166915302 sur OpenAlex
Erin M. Snyder, Gretchen M. Bruce, Richard C. Pleus, Shane A. Snyder

Pourquoi ce travail est dans la base

Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.

affAu moins un auteur déclare une institution canadienne dans l'instantané OpenAlex épinglé.

Notice bibliographique

RevueWorld Environmental and Water Resources Congress 2007 · 2007
Typearticle
Langueen
DomaineEnvironmental Science
ThématiquePharmaceutical and Antibiotic Environmental Impacts
Établissements canadiensIntertek (Canada)
Organismes subventionnairesAmerican Water Works Association Research FoundationWater Research Foundation
Mots-clésEnvironmental scienceRaw waterWaterborne diseasesWater qualityWater treatmentEffluentEnvironmental healthPopulationWastewaterEndocrine systemToxicologyEnvironmental engineeringMedicineBiologyEcology

Résumé

récupéré en direct d'OpenAlex

Increasing sensitivity of new analytical methods has enabled the detection of certain endocrine disrupting chemicals (EDCs) in drinking water systems. EDCs in raw water entering drinking water treatment plants can arise from many potential sources, including municipal wastewater treatment plant effluent, industrial discharges, agricultural activities, etc. Questions remain about the potential health effects of long-term, low-dose exposures to EDCs via potable water supplies. Of particular concern are potential consequences to sensitive population groups, such as pregnant women and children. We present preliminary data arising from our work on assessing the potential health risks of these chemicals and establishing target concentrations for water treatment. Specifically, we focus on the selection of chemicals of concern (COC) for this project. EDCs were selected as COC for this project on the basis of the following five criteria. (1) Status as an EDC. A literature review was conducted to collect evidence that certain chemicals can be classified as EDCs. Emphasis was placed on chemicals that have produced an adverse effect mediated through the endocrine system in at least one in vivo test system with a laboratory animal that serves as a surrogate for humans or that have been reported to produce an endocrine effect in humans. (2) Likelihood of exposure through drinking water. To assess occurrence in drinking water, monitoring for target chemicals is underway at several drinking water utilities nationwide. A literature search revealed additional occurrence data for source water, raw water, and drinking water, as well as information that can be used to predict the removal of EDCs through drinking water treatment processes. (3) Potential to cause adverse health effects. Severity of effects, potency, and pharmacokinetics (e.g., half-life, bioaccumulation) were considered. (4) Endocrine mode of action. Only those chemicals that act through the so-called "EAT" modes of action (Estrogenic (or anti-estrogenic), Androgenic (or anti-androgenic), and Thyroid-related) were considered. (5) Interest in specific contaminants. The Project Advisory Committee (PAC) and participating utilities were asked to identify EDCs that they believe are potential concerns. EDCs that appear to be the subject of interest among the public and the scientific community also were considered. For selected EDCs, animal and human clinical toxicity data are being examined to establish threshold exposure levels of concern, particularly focusing on the potential for reproductive and developmental effects and effects on endocrine function. The results of this project will provide information to determine whether consumption of EDCs in municipal drinking water poses a public health risk; which chemicals likely present the most significant risks, and which treatment systems most effectively reduce target chemical concentrations.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,057
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0000,001
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,011
Tête enseignante GPT0,249
Écart entre enseignants0,237 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle