Literature DB >> 17297222

A rapid field detection method for arsenic in drinking water.

Anuradha Baghel1, Beer Singh, Pratibha Pandey, K Sekhar.   

Abstract

In this study, a rapid colorimetric method for arsenic detection was developed. Different reagents containing magnesium turnings in combination with a series of acids were tested for arsine generation. The arsine was then allowed to react with auric chloride on Whatman filter paper No. 3, which in turn changed color. The detection time and detection limit were measured for each acid. Oxalic acid was found to be the most appropriate acid among all the acids used for detection in this study. It took 10 min to detect 10 ppb arsenic concentration and only 1 min to detect concentrations higher than 50 ppb. This method thus reduced the detection time for arsenic and has the potential to develop better field kit.

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Year:  2007        PMID: 17297222     DOI: 10.2116/analsci.23.135

Source DB:  PubMed          Journal:  Anal Sci        ISSN: 0910-6340            Impact factor:   2.081


  4 in total

1.  In Situ Oxalic Acid Injection to Accelerate Arsenic Remediation at a Superfund Site in New Jersey.

Authors:  Karen Wovkulich; Martin Stute; Brian J Mailloux; Alison R Keimowitz; James Ross; Benjamin Bostick; Jing Sun; Steven N Chillrud
Journal:  Environ Chem       Date:  2014-09-25       Impact factor: 3.088

2.  Field based speciation of arsenic in UK and Argentinean water samples.

Authors:  M J Watts; J O'Reilly; A L Marcilla; R A Shaw; N I Ward
Journal:  Environ Geochem Health       Date:  2010-05-20       Impact factor: 4.609

3.  Determination of Arsenic Content in Water Using a Silver Coordination Polymer.

Authors:  Natasha D Reich; Athena A Nghiem; Sarah Nicholas; Benjamin C Bostick; Michael G Campbell
Journal:  ACS Environ Au       Date:  2021-11-22

4.  Miniaturized Sample Preparation and Rapid Detection of Arsenite in Contaminated Soil Using a Smartphone.

Authors:  Mohd Farhan Siddiqui; Soocheol Kim; Hyoil Jeon; Taeho Kim; Chulmin Joo; Seungkyung Park
Journal:  Sensors (Basel)       Date:  2018-03-04       Impact factor: 3.576

  4 in total

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