首页|Studies from School of Basic and Applied Sciences Reveal New Findings on Machine Learning [Utilization of Natural Zeolite (Scolecite) To Reduce Arsenic Contamination of Water In Relation To Machine Learning Approach]
Studies from School of Basic and Applied Sciences Reveal New Findings on Machine Learning [Utilization of Natural Zeolite (Scolecite) To Reduce Arsenic Contamination of Water In Relation To Machine Learning Approach]
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Investigators publish new report on Machine Learning. According to news originating from Haryana, India, by NewsRx correspondents, research stated, "Among heavy metals, arsenic contamination in water resources is a major concern due to its harmful effects on human health as slow poison behaviour affecting many states of India and at global level. The present study is about efficiency of Scolecite (CaAl2Si3O10.3H2O), a natural zeolite mineral, to remove arsenic contamination from water." Our news journalists obtained a quote from the research from the School of Basic and Applied Sciences, "The arsenic-contaminated water samples were collected from both industrial areas and non-industrial areas which include Singrauli industrial sites of Madhya Pradesh/Uttar Pradesh, Jalangi Block and various thermal power station areas of West Bengal, Kaudikasa-Rajnandgaon district of Chhattisgarh and Kakching area of Manipur. After conducting rigorous experimental studies, it was observed that the collected water samples had been reduced up to below 10 ppb within the permissible limit of WHO in 7 days with different quantities of scolecite (as 0.5 g/50 ml, 2.5 g/50 ml, 5 g/50 ml and 10 g/100 ml). The reduction of arsenic and the absorbing properties were identified as negative charge developed on the crystal face of Si3Al3 in scolecite. The XRD analysis of filtrate, which remained after filtration of samples prior to chemical analysis for arsenic concentration, is that specific hkl faces (i.e. 111, 040, 132, 400 and 240) are more affected in increase of pH in scolecite-treated water samples and hence play a major role in arsenic removal."
HaryanaIndiaAsiaArsenicCyborgsEmerging TechnologiesMachine LearningSchool of Basic and Applied Sciences
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NSTL
