the case for visual analytics of arsenic concentrations in foods的视觉分析食品中砷的浓度.pdf

Int. J. Environ. Res. Public Health 2010, 7, 1970- 1983; doi:10.3390/ijerph7051970 OPEN ACCESS International Journal of Environmental Research and Public Health ISSN 1660-4601 /journal/ijerph Review The Case for Visual Analytics of Arsenic Concentrations in Foods Matilda O. Johnson 1,*, Hari H.P. Cohly 2,*, Raphael D. Isokpehi 2 and Omotayo R. Awofolu 1 1 Department of Environmental Sciences, University of South Africa, PO Box 392, Pretoria 003, South Africa; E-Mail: awofoor@unisa.ac.za 2 Center for Bioinformatics Computational Biology, Department of Biology, Jackson State University, Jackson, MS 39217, USA; E-Mail: raphael.isokpehi@ * Authors to whom correspondence should be addressed; E-Mails: bjero2@ (M.O.J.); hcohly2005@ (H.C.); Tel.: +1-601-979-1636; Fax: +1-601-979-0329. Received: 7 January 2010; in revised form: 27 February 2010 / Accepted: 3 April 2010 / Published: 28 April 2010 Abstract: 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 b