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Enregistrement W4309740996 · doi:10.37231/ajmb.2022.6.s1.513

Manganese (Mn) in Drinking Water From Gravity Feed System: A Literature Review

2022· review· en· W4309740996 sur OpenAlexaboutno aff
Haninah Fadiah M, Shaharuddin MS, Vera Yulyani

Notice bibliographique

RevueAsian Journal of Medicine and Biomedicine · 2022
Typereview
Langueen
DomaineEnvironmental Science
ThématiqueMercury impact and mitigation studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésManganeseLeaching (pedology)Environmental chemistrySurface waterGroundwaterIngestionEnvironmental scienceChemistrySoil waterGeologyEnvironmental engineeringSoil science

Résumé

récupéré en direct d'OpenAlex

Manganese (Mn) is an element of metals that exists in a huge number of metals in the Earth’s crust. Mn is not naturally found in its pure form; instead, it is usually forming a compound with iron. Mn is an important element that has a function in both animals and humans [1]. Mn is commonly used in the manufacture and as an ingredient in several products such as batteries, glass and fireworks. Besides, Mn compounds are also present in surface waters in dissolved and suspended forms [2]. Besides ores and rocks, Mn can also be found in groundwater and surface water due to reducing conditions in soils and rocks that contain Mn, which may erode and turn it into a soluble form that then enters the water naturally [3]. Thus, high levels of Mn are found in groundwater and some lakes as well as reservoirs due to these conditions. Mn can also be present in water in the environment through human activities such as mining and landfill leaching near the water [4]. Health Canada stated the prevalence of Mn in ground waters is higher than that of surface waters [5]. Inhalation and ingestion are the main routes of exposure, with inhalation mostly happening in workers due to occupational factors, and those who consume food or drinking water that contains high amounts of Mn are exposed through ingestion [4]. However, Mn is easily absorbed into the body when consumed with drinking water as compared to ingestion with food. Mn levels in drinking water should not be more than 0.1 mg/L, based on the Drinking Water Quality Standard [6]. Many enzymes including manganese superoxide dismutase arginase and pyruvate carboxylase require Mn as a cofactor; while in combination with vitamin K, Mn can aid in blood coagulation and hemostasis [7]. In addition, Mn is involved in the metabolism of amino acids, cholesterol, glucose and carbohydrates as well as bone formation, reproduction and immune response [8]. However, problems with memory, attention and motor skills exist when children and adults alike consume high levels of Mn for extended durations including consumption of drinking water [9]. There are no strong studies that show the results of the health effects of Mn in drinking water for adults. However, many studies have shown evidence of adverse health effects of Mn exposure on children especially in term of neurobehavioral effect. A review was conducted on the literature on Mn exposure from drinking water, concentrating on the World Health Organization's health-based Mn guideline value [10]. There is no study that has determined a lethal threshold of Mn for children and newborns, although data suggest that youngsters are more susceptible to poisoning than adults. Another study reported the association between Mn and arsenic exposure in drinking water among academic achievement of children in Bangladesh. It showed a significant association between water containing more than 400µg/L and decreased mathematical scores observed after adjusting the confounders [8]. There is a significant decrease in IQ scores of children that were exposed to higher levels of Mn from the earlier study [11]. Changes in the neurotransmitter system were shown to vary with the period of exposure during Mn intoxication in mice exposed to manganese chloride (MnCl2) through lactation and drinking water containing 3 mg/L Mn for 180 days, and male rats given 1000 mg/L water for 360 days. The studies also showed that Mn exposure increased the levels of dopamine, norepinephrine and tyrosine in the corpus striatum [5]. The gravity feed system (GFS) is a downstream distribution system that is powered by gravity to supply water to households without the need to use electricity [12]. It is commonly used by populations living in hilly areas. These include the Orang Asli communities which usually live in areas which cannot be supplied with centralized water supply system. GFS is suitable in areas with a continuous supply of spring water. In Malaysia, gravity feed system is a type of water delivery system that includes a secure catchment area, a weir or sluice, and a piped water supply network (Figure 1). Since the majority of the systems generate untreated but healthy water, rural residents are recommended to boil the water [13].

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)0,001
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,005
Score d'incertitude au seuil0,018

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0050,005
Études des sciences et des technologies0,0000,000
Communication savante0,0010,002
Science ouverte0,0010,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0050,001

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 Opus0,033
Tête enseignante GPT0,312
Écart entre enseignants0,279 · 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'étudeSans objet
Domainenon disponible
GenreSynthèse

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

En bref

Citations2
Publié2022
Routes d'admission1
Résumé présentoui

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