Document Detail


Digital analysis technique for uncertainty reduction in colorimetric arsenic detection method.
MedLine Citation:
PMID:  23043341     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
This article proposes an alternative to increase the reliability and reproducibility of a colorimetric method to measure arsenic (As) concentrations. The method of analysis developed incorporates a digital analysis technique to eliminate the operator dependence of results, and As concentrations are quantitatively determined from digital levels computed from photographs of the colorimetric reaction that emerges during the test. This technique allows the sensitivity of the detection to be increased at low concentration ranges, which is of fundamental importance for the detection of As given the current acceptable limit for drinking water. The results obtained show a very good correlation between As concentrations determined by means of analytical laboratory techniques and the method proposed in this research.
Authors:
Magali E Carro Perez; Franco M Francisca
Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Journal of environmental science and health. Part A, Toxic/hazardous substances & environmental engineering     Volume:  48     ISSN:  1532-4117     ISO Abbreviation:  J Environ Sci Health A Tox Hazard Subst Environ Eng     Publication Date:  2013  
Date Detail:
Created Date:  2012-10-09     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9812551     Medline TA:  J Environ Sci Health A Tox Hazard Subst Environ Eng     Country:  England    
Other Details:
Languages:  eng     Pagination:  191-6     Citation Subset:  IM    
Affiliation:
a Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), and Universidad Nacional de Córdoba (UNC) , Cordoba , Argentina.
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