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Enregistrement W7061445590

Potentially Toxic Elements andPersistent Organic Pollutionsin Hair:A Case Study of GreaterManchester

2018· other· en· W7061445590 sur OpenAlexaboutno aff

Notice bibliographique

Revuenon disponible
Typeother
Langueen
DomainePhysics and Astronomy
ThématiqueMagnetic confinement fusion research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésHair analysisPollutantLife expectancySample (material)Quarter (Canadian coin)
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

This study aimed to compare metal and Persistent Organic Pollutant (POP) concentrations in human hair clippings between metropolitan boroughs in Greater Manchester with different death rates. The official statistics for death rates for the years 2014-2017 and life expectancy data were used to identify nine boroughs in Greater Manchester for the study. Five of these are located predominantly in the northern and western parts of the city and reports the highest death rates. These boroughs were Bolton, Bury, Rochdale, Oldham and Wigan. Four other boroughs mainly in the central and southern parts of the city with low annual death rates were also identified for use in the work, namely Manchester, Trafford, Stockport and Salford. In each borough, two male and two female hairdresser shops were chosen for the sample collection, and hair of each type were combined to form in a composite hair sample through the application of the quarter and coning technique. Different hair washing methods were evaluated to determine their effect on the metal analyses of each hair sample, and the results were then compared with the published literature. For the remainder of the work reported in this study, a simple wash (deionised water wash) was selected as the sample preparation method. The metal contents were extracted by means of microwave digestion and analysed by ICP-OES. QUeChERS combined with a dispersive solid phase extraction method, was used to extract the POPs (i.e. polycyclic aromatic hydrocarbons (PAHs) and polychlorinated biphenyls (PCBs)) and Gas Chromatography-Mass Spectroscopy was employed for the analysis. The focus was primarily on the contents of Cd, Pb, Ni, Cu, Zn and Mn analyses as far as the metallic elements were concerned, due to their toxic and carcinogenic behaviour in the human body. Various typical PCBs and PAHs were analysed in the POPs determinations. It was found that Pb and Zn were the two metallic elements with the highest concentrations in both the male and female hair samples in each borough from which hair samples were collected. For the PCB analyses, PCB 118 was present in much higher concentrations than the rest in both the female and male hair samples, and was also present to a much larger extent in the female hair samples than in the male samples. The three PCBs, apart from PCB118, had similar concentrations compared to each other in both the male and female hair samples. During the PAHs measurements, the analysis revealed that the PAH contents are dominated by these three compounds, i.e. acenaphthene, anthracene and naphthalene. In the female hair samples high values of acenaphthene were found. In the male hair samples, acenaphthene was also found in higher concentrations than any of the other PAHs, while naphthalene occurred in higher concentrations in the male hair samples than the rest of the PAHs, but was generally lower in concentration than acenaphthene. There was no discernible correlation between the death rates and/or life expectancy of the population in the various boroughs of Greater Manchester and the metallic element concentration profiles and POPs contents of the male and female hair samples.

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.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,079
Score d'incertitude au seuil0,157

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0030,001
Communication savante0,0010,001
Science ouverte0,0010,002
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0040,000

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 Opus0,018
Tête enseignante GPT0,271
Écart entre enseignants0,253 · 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

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2018
Routes d'admission1
Résumé présentoui

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