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Year : 2019  |  Volume : 23  |  Issue : 3  |  Page : 126-132

Comparative quantification study of arsenic in the groundwater and biological samples of simri village of Buxar District, Bihar, India

1 Department of Biotechnology, Anugrah Narayan College, Patna, Bihar, India
2 Mahavir Cancer Institute and Research Centre, Patna, Bihar, India

Correspondence Address:
Dr. Arun Kumar
Mahavir Cancer Institute and Research Centre, Phulwarisharif, Patna - 801 505, Bihar
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Source of Support: None, Conflict of Interest: None

DOI: 10.4103/ijoem.IJOEM_240_18

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Background: In the entire world, about 200 million populations are exposed to arsenic poisoning in groundwater. In Bihar, India about 50 million people are drinking arsenic contaminated water. This has caused various health related problems in the population like skin diseases, anemia, bronchitis, gastrointestinal problems, hormonal imbalance and cancer. Materials and Methods: In the present study, a total of 323 water samples were analyzed for the arsenic levels from the entire Simri village of Buxar district of Bihar and a total of 170 blood samples from the same household's subjects were collected for blood arsenic estimation through Graphite Furnace Atomic Absorption Spectrophotometer (Pinnacle 900T, Perkin Elmer, Singapore). Apart from this the correlation coefficient study between blood arsenic levels, age of the subjects, groundwater arsenic levels and depth of the handpumps were carried out. Statistical Analysis: Data were analyzed with statistical software (GraphPad Prism 5) and while scattered graphs were plotted through statistical software SPSS- 16.0. Results and Conclusion: The maximum arsenic concentration in the groundwater sample found during the study was 1929μg/L and in blood sample was 664.7μg/L. The study denotes high arsenic concentration in the drinking water of the village Simri with the highest concentration ever reported in this part of India. Furthermore, the blood samples have also been observed with high arsenic concentration in the village population which is also the highest reporting ever done in this area. The ill health of the village population also correlates our study.


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