Document Detail


The case for visual analytics of arsenic concentrations in foods.
MedLine Citation:
PMID:  20623005     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Arsenic is a naturally occurring toxic metal and its presence in food could be a potential risk to the health of both humans and animals. Prolonged ingestion of arsenic contaminated water may result in manifestations of toxicity in all systems of the body. Visual Analytics is a multidisciplinary field that is defined as the science of analytical reasoning facilitated by interactive visual interfaces. The concentrations of arsenic vary in foods making it impractical and impossible to provide regulatory limit for each food. This review article presents a case for the use of visual analytics approaches to provide comparative assessment of arsenic in various foods. The topics covered include (i) metabolism of arsenic in the human body; (ii) arsenic concentrations in various foods; (ii) factors affecting arsenic uptake in plants; (ii) introduction to visual analytics; and (iv) benefits of visual analytics for comparative assessment of arsenic concentration in foods. Visual analytics can provide an information superstructure of arsenic in various foods to permit insightful comparative risk assessment of the diverse and continually expanding data on arsenic in food groups in the context of country of study or origin, year of study, method of analysis and arsenic species.
Authors:
Matilda O Johnson; Hari H P Cohly; Raphael D Isokpehi; Omotayo R Awofolu
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, Non-P.H.S.; Review     Date:  2010-04-28
Journal Detail:
Title:  International journal of environmental research and public health     Volume:  7     ISSN:  1660-4601     ISO Abbreviation:  Int J Environ Res Public Health     Publication Date:  2010 May 
Date Detail:
Created Date:  2010-07-12     Completed Date:  2010-10-05     Revised Date:  2013-05-29    
Medline Journal Info:
Nlm Unique ID:  101238455     Medline TA:  Int J Environ Res Public Health     Country:  Switzerland    
Other Details:
Languages:  eng     Pagination:  1970-83     Citation Subset:  IM    
Affiliation:
Department of Environmental Sciences, University of South Africa, Pretoria, South Africa. bjero2@gmail.com
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MeSH Terms
Descriptor/Qualifier:
Arsenic / analysis*,  pharmacokinetics
Environmental Pollutants / analysis*,  pharmacokinetics
Food Contamination*
Humans
Plants / metabolism
Grant Support
ID/Acronym/Agency:
G12RR013459/RR/NCRR NIH HHS
Chemical
Reg. No./Substance:
0/Environmental Pollutants; 7440-38-2/Arsenic
Comments/Corrections

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