IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v7y2010i5p1970-1983d8132.html
   My bibliography  Save this article

The Case for Visual Analytics of Arsenic Concentrations in Foods

Author

Listed:
  • Matilda O. Johnson

    (Department of Environmental Sciences, University of South Africa, PO Box 392, Pretoria 003, South Africa)

  • Hari H.P. Cohly

    (Center for Bioinformatics & Computational Biology, Department of Biology, Jackson State University, Jackson, MS 39217, USA)

  • Raphael D. Isokpehi

    (Center for Bioinformatics & Computational Biology, Department of Biology, Jackson State University, Jackson, MS 39217, USA)

  • Omotayo R. Awofolu

    (Department of Environmental Sciences, University of South Africa, PO Box 392, Pretoria 003, South Africa)

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 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.

Suggested Citation

  • Matilda O. Johnson & Hari H.P. Cohly & Raphael D. Isokpehi & Omotayo R. Awofolu, 2010. "The Case for Visual Analytics of Arsenic Concentrations in Foods," IJERPH, MDPI, vol. 7(5), pages 1-14, April.
    • Handle: RePEc:gam:jijerp:v:7:y:2010:i:5:p:1970-1983:d:8132
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/7/5/1970/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/7/5/1970/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Raphael D. Isokpehi & Matilda O. Johnson & Bryanna Campos & Arianna Sanders & Thometta Cozart & Idethia S. Harvey, 2020. "Knowledge Visualizations to Inform Decision Making for Improving Food Accessibility and Reducing Obesity Rates in the United States," IJERPH, MDPI, vol. 17(4), pages 1-27, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:7:y:2010:i:5:p:1970-1983:d:8132. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.