INTERACTION BETWEEN ARSENIC CONCENTRATION IN DRINKING WATER AND GSTT1 GENE POLYMORPHISM IN TOENAIL ARSENIC CONCENTRATION OF CHILDREN

2011 ◽  
Vol 2011 (1) ◽  
Author(s):  
Hyunok Choi ◽  
Elaine Hoffman ◽  
Quazi Quamruzzaman ◽  
Mahmuder Rahman ◽  
Golam Mahiuddin ◽  
...  
2018 ◽  
Author(s):  
Emily Berquist ◽  
◽  
Helen Fitzgerald Malenda ◽  
Melinda L. Erickson

2012 ◽  
Vol 13 (9) ◽  
pp. 4417-4421 ◽  
Author(s):  
Jie Chen ◽  
Liang Ma ◽  
Ning-Fu Peng ◽  
Shi-Jun Wang ◽  
Le-Qun Li

Biomarkers ◽  
2020 ◽  
Vol 25 (6) ◽  
pp. 483-489
Author(s):  
Muhammad Khisroon ◽  
Ajmal Khan ◽  
Asma Ayub ◽  
Ihsan Ullah ◽  
Javeed Farooqi ◽  
...  

2009 ◽  
Vol 6 (4) ◽  
pp. 1035-1046 ◽  
Author(s):  
Debasis Mohanty ◽  
Shashadhar Samal

The concentration of different toxic metals has increased beyond environmentally and ecologically permissible levels due to the increase in industrial activity. More than 100 million people of Bangladesh and West Bengal in India are affected by drinking ground water contaminated with arsenic and some parts of India is also affected by poisoning effect of copper, cadmium and fluoride. Different methods have been evolved to reduce the arsenic concentration in drinking water to a maximum permissible level of 10 μg/L where as various methods are also available to separate copper from drinking water. Of the proven methods available today, removal of arsenic by polymeric ion exchangers has been most effective. While chelating ion exchange resins having specific chelating groups attached to a polymer have found extensive use in sorption and pre concentration of Cu2+ions. Both the methods are coupled here to separate and preconcentrate toxic metal cation Cu2+and metal anion arsenate(AsO4–) at the same time. We have prepared a series of low-cost polymeric resins, which are very efficient in removing copper ion from drinking water and after coordinating with copper ion they act as polymeric ligand exchanger, which are efficiently removing arsenate from drinking water. For this purpose Schiff bases were prepared by condensingo-phenylenediamine witho-,m-, andp-hydroxybenzaldehydes. Condensing these phenolic Schiff bases with formaldehyde afforded the chelating resins in high yields. These resins are loaded with Cu2+, Ni2+2+, and Fe3+ions. The resins and the polychelates are highly insoluble in water. In powdered form the metal ion-loaded resins are found to very efficiently remove arsenate ion from water at neutral pH. Resins loaded with optimum amount of Cu2+ion is more effective in removing arsenate ions compared to those with Fe3+ion, apparently because Cu2+is a stronger Lewis acid than Fe3+. Various parameters influencing the removal of the arsenate ion from drinking water to a concentration level below 20 μg/L are studied.


Author(s):  
Joel Podgorski ◽  
Ruohan Wu ◽  
Biswajit Chakravorty ◽  
David A. Polya

Groundwater is a critical resource in India for the supply of drinking water and for irrigation. Its usage is limited not only by its quantity but also by its quality. Among the most important contaminants of groundwater in India is arsenic, which naturally accumulates in some aquifers. In this study we create a random forest model with over 145,000 arsenic concentration measurements and over two dozen predictor variables of surface environmental parameters to produce hazard and exposure maps of the areas and populations potentially exposed to high arsenic concentrations (>10 µg/L) in groundwater. Statistical relationships found between the predictor variables and arsenic measurements are broadly consistent with major geochemical processes known to mobilize arsenic in aquifers. In addition to known high arsenic areas, such as along the Ganges and Brahmaputra rivers, we have identified several other areas around the country that have hitherto not been identified as potential arsenic hotspots. Based on recent reported rates of household groundwater use for rural and urban areas, we estimate that between about 18–30 million people in India are currently at risk of high exposure to arsenic through their drinking water supply. The hazard models here can be used to inform prioritization of groundwater quality testing and environmental public health tracking programs.


2011 ◽  
Vol 140 ◽  
pp. 465-468 ◽  
Author(s):  
Da Peng Wang ◽  
San Xiang Wang ◽  
Zheng Hui Wang ◽  
Li Ming Zhang ◽  
Jian Li ◽  
...  

Biological monitoring for arsenic(As) is usually based upon a determination of urine, blood, nail and hair arsenic concentration, however, saliva has been suggested as a non-invasive biological matrix for assessing exposure. To further evaluate the potential utility of saliva for arsenic biomonitoring, Atomic Fluorescence Spectrometry(AFS-230) and Inductively Coupled Plasma Mass Spectrometer (ICP-MS) were used to evaluate the concentration of arsenic in drinking water, saliva and urine in endemic arsenicosis area in Shanyin County of Shanxi Province. The results showed that the arsenic concentration in drinking water was 0.55-720.0ug/L, and there were 66.67% samples above the arsenic level (50μg/L) of standards for drinking water quality. The median value of arsenic in drinking water was 127.22 μg/L. The salivary and urinary arsenic both can reflect the exposure of arsenic in drinking water. Additionally, there was a significant positive association of salivary arsenic compared with arsenic in drinking water (r=0.674, P<0.05)and urinary arsenic(r=0.794, P<0.05). These results demonstrated that, similar to urinary arsenic, salivary arsenic also can be used as a biomarker for assessing human exposue to arsenic.


2015 ◽  
Vol 14 (2) ◽  
pp. 236-242
Author(s):  
Emily Peterson ◽  
Howard Shapiro ◽  
Ye Li ◽  
John G. Minnery ◽  
Ray Copes

Community water fluoridation is a WHO recommended strategy to prevent dental carries. One debated concern is that hydrofluorosilicic acid, used to fluoridate water, contains arsenic and poses a health risk. This study was undertaken to determine if fluoridation contributes to arsenic in drinking water, to estimate the amount of additional arsenic associated with fluoridation, and compare this to the National Sanitation Foundation/American National Standards Institute (NSF/ANSI) standard and estimates from other researchers. Using surveillance data from Ontario drinking water systems, mixed effects linear regression was performed to examine the effect of fluoridation status on the difference in arsenic concentration between raw water and treated water samples. On average, drinking water treatment was found to reduce arsenic levels in water in both fluoridated and non-fluoridated systems by 0.2 μg/L. However, fluoridated systems were associated with an additional 0.078 μg/L (95% CI 0.021, 0.136) of arsenic in water when compared to non-fluoridated systems (P = 0.008) while controlling for raw water arsenic concentrations, types of treatment processes, and source water type. Our estimate is consistent with concentrations expected from other research and is less than 10% of the NSF/ANSI standard of 1 μg/L arsenic in water. This study provides further information to inform decision-making regarding community water fluoridation.


2006 ◽  
Vol 4 (1) ◽  
pp. 29-37 ◽  
Author(s):  
Yanhong Li ◽  
Yajuan Xia ◽  
Kegong Wu ◽  
Linlin He ◽  
Zhixiong Ning ◽  
...  

This study was designed to assess the effects of exposure to arsenic in drinking water on neurosensory function. A questionnaire including neurological signs and symptoms and a brief neurological exam consisting of pinprick testing of the arms and legs and knee-jerk test were administered to 321 residents of the Bamen region of Inner Mongolia, China. Arsenic in water was measured by hydride generation atomic fluorescence. Participants were divided into three exposure groups—low (non-detectible-20), medium (100–300) and high (400–700 μg/l) arsenic. Significant group differences were observed in pinprick scores for all four limbs. Results indicate that arsenic alters pinprick (pain) thresholds at well-water concentrations as low as 400 μg/l, well below the 1000 μg/l threshold for neurological effect specified by NRC (1999). Regression models suggest that a 50% increase in pinprick score is associated with a 71–159 ppb increase in arsenic concentration.


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