Probabilistic risk assessment of Chinese residents' exposure to fluoride in improved drinking water in endemic fluorosis areas

Zhang, Lie; Huang, Daizheng; Yang, Jie; Xiao, Wei; Qin, Jian; Ou, Songfeng; Zhang, Zhiyong; Zou, Yue

doi:10.1016/j.envpol.2016.12.074

Cited by 184 publications

(44 citation statements)

References 28 publications

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“…However, it may be useful or harmful to human bodies, depending on its concentration in drinking water and total ingested amount (Chen et al, 2012 ; Sharma et al, 2017 ). It is recommended by World Health Organization (WHO) that the most appropriate concentration of fluoride in drinking water is 0.5–1.5 mg·L −1 , exceeding which people could have dental and / or skeletal fluorosis such as softening of bones, mottling of teeth and neurological damage (Liu et al, 2015 ; Zhang L. E. et al, 2017 ). Unfortunately, the Unfortunately, the concentration of fluoride has been found to be as high as 30 mg·L −1 in the drinking water of about 25 countries across the world, including India, Mexico and China (Amini et al, 2008 ).…”

Section: Introductionmentioning

confidence: 99%

Enhanced Defluoridation Capacity From Aqueous Media via Hydroxyapatite Decorated With Carbon Nanotube

Tang

Duan

et al. 2018

Front. Chem.

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In this work, the potential of a novel hydroxyapatite decorated with carbon nanotube composite (CNT-HAP) for fluoride removal was investigated. The synthesized CNT-HAP composite was systematically characterized by X-ray diffraction(XRD), Fourier Transform infrared spectroscopy(FTIR), scanning electron microscope (SEM) and Brunauer–Emmett–Teller(BET). Batch adsorption experiments were conducted to investigate the defluorination capacity of CNT-HAP. The CNT-HAP composite has a maximum adsorption capacity of 11.05 mg·g−1 for fluoride, and the isothermal adsorption data were fitted by the Freundlich model to calculate the thermodynamic parameters. Thermodynamic analysis implies that the adsorption of fluoride on CNT-HAP is a spontaneous process. Furthermore, the adsorption of fluoride follows pseudo-second-order model. The effects of solution pH, co-existing anions and reaction temperature on defluorination efficiency were examined to optimize the operation conditions for fluoride adsorption. It is found that the optimized pH-value for fluoride removal by CNT-HAP composite is 6. In addition, among five common anions studied in this work, the presence of HCO3- and PO43- could considerably affect the fluoride removal by CNT-HPA in aqueous media. Finally, the underlying mechanism for the fluoride removal by CNT-HAP is analyzed, and an anion exchange process is proposed.

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Section: Introductionmentioning

confidence: 99%

Enhanced Defluoridation Capacity From Aqueous Media via Hydroxyapatite Decorated With Carbon Nanotube

Tang

Duan

et al. 2018

Front. Chem.

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“…A significant risk may occur for non-cancer effect if the Hazard index is greater than one. The Hazard index value less than one means that there is no chance of non-cancer effect happening [17] , [18] , [19] , [20] , [21] .…”

Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

Human health risk assessment data of trace elements concentration in tap water—Abeokuta South, Nigeria

et al. 2018

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Constant drinking water monitoring schemes are necessary because hazardous substances tend to enter water bodies through geodetic and anthropogenic sources. The main goal of this study was to evaluate the human health risk assessment posed by high fluoride and iron concentration in tap water used for domestic activities and consumption. In this study, the concentration of fluoride in tap water varied at different locations, ranging from 0.48 mg/L to 1.84 mg/L with an average value of 1.23 mg/L while that of iron ranged from 0.02 to 2.96 mg/L. The cluster analysis displayed three popular groups in which the samples can be classified. The non-carcinogenic risk was determined with defined methods outlined by US EPA considering dermal and ingestion pathways. Total Hazard Index greater than 0.8 for fluoride consumption in the analyzed locations was obtained from location R16, R17, R15, R4, and R6.

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“…Table 2 presents the values of

for different metals obtained in this study [9] , [10] , [15] . Several literatures have established that a risk is very likely when the

is equal or greater than unity while the probability of a risk not occurring is postulated when

is less than unity [16] , [17] , [18] , [19] . These values are tabulated in Table 3a , Table 3b , Table 4a , Table 4b , Table 5a , Table 5b , Table 6a , Table 6b , Table 7a , Table 7b (a)–(b) for all the metals obtained in this study.…”

Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

Computation of human health risk in surface water in Ado-Odo Ota, Ogun State, Nigeria

et al. 2018

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Heavy metals find their way into surface and groundwater due to degrading environmental conditions, and as such consistent monitoring to avoid the adverse health implications associated with the consumption of polluted water is required. This study examined the concentrations for Lead (Pb), Nickel (Ni), Zinc (Zn), Chromium (Cr), Cadmium (Cd), Copper (Cu) and Arsenic (As) in the Surface water of River Balogun in Ota, Ogun State, Nigeria during the wet season and estimated the human health risk resulting from prolonged consumption by children and adult of dissimilar age groups without treatment. Although there were persistent occurrence of Nickel (Ni), Copper (Cu), Zinc (Zn) and Arsenic (As) in all stations sampled, the health risk assessment conducted revealed that both population groups are more likely to be affected by high concentration levels of Arsenic than any other Heavy metal present.

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Probabilistic risk assessment of Chinese residents' exposure to fluoride in improved drinking water in endemic fluorosis areas

Cited by 184 publications

References 28 publications

Enhanced Defluoridation Capacity From Aqueous Media via Hydroxyapatite Decorated With Carbon Nanotube

Enhanced Defluoridation Capacity From Aqueous Media via Hydroxyapatite Decorated With Carbon Nanotube

Human health risk assessment data of trace elements concentration in tap water—Abeokuta South, Nigeria

Computation of human health risk in surface water in Ado-Odo Ota, Ogun State, Nigeria

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