UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 6
June-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIRFT06040


Registration ID:
501835

Page Number

200-205

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Title

Identifying a Less Time Consuming and Better Technique Extracting Arsenic from Human Milk Samples

Abstract

In this article, the arsenic levels in drinking water were studied. Hair and nail arsenic is highly linked, however, according to principle component analysis (PCA). According to our results, lactating women with hypertension greater levels. Arsenic levels in babies' blood, nails, and urine were investigated, and the results showed a significantly high body burden of arsenic in areas. The hair and nail arsenic levels were found to be age-dependent using PCA. The techniques for extracting arsenic from human milk samples are successful in both literatures. These findings would assist in the development of a quicker and more efficient method for eliminating arsenic from milk samples. Although the process will take longer than expected, it does not surpass 5-6 hours. Furthermore, such investigations show the degree of arsenic exposure in people living in complex environments. People are exposed to less arsenic as a consequence of this, which may lead to severe instances of chronic arsenic poisoning. Prenatal exposure to infants may potentially induce genetic abnormalities as well as physical and mental defects.

Key Words

Arsenic Levels, Drinking Water, Human Milk, Samples, Skin Lesions, West Bengal.

Cite This Article

"Identifying a Less Time Consuming and Better Technique Extracting Arsenic from Human Milk Samples", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.200-205, June-2019, Available :http://www.jetir.org/papers/JETIRFT06040.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Identifying a Less Time Consuming and Better Technique Extracting Arsenic from Human Milk Samples", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp200-205, June-2019, Available at : http://www.jetir.org/papers/JETIRFT06040.pdf

Publication Details

Published Paper ID: JETIRFT06040
Registration ID: 501835
Published In: Volume 6 | Issue 6 | Year June-2019
DOI (Digital Object Identifier):
Page No: 200-205
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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