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Field Turbidity Methods for the Determination of Lead in Acid Extracts of Dried Paint
Citation:
Studabaker, W. B., M. McComb, K. Sorrell, C. Salmons, G. Brown, D. Binstock, W. F. Gutknecht, AND S. L. HARPER. Field Turbidity Methods for the Determination of Lead in Acid Extracts of Dried Paint. JOURNAL OF ENVIRONMENTAL MONITORING. Royal Society of Chemistry, Cambridge, Uk, 12(7):1393-1403, (2010).
Impact/Purpose:
The National Exposure Research Laboratory′s (NERL) Human Exposure and Atmospheric Sciences Division (HEASD) conducts research in support of EPA′s mission to protect human health and the environment. HEASD′s research program supports Goal 1 (Clean Air) and Goal 4 (Healthy People) of EPA′s strategic plan. More specifically, our division conducts research to characterize the movement of pollutants from the source to contact with humans. Our multidisciplinary research program produces Methods, Measurements, and Models to identify relationships between and characterize processes that link source emissions, environmental concentrations, human exposures, and target-tissue dose. The impact of these tools is improved regulatory programs and policies for EPA.
Description:
Lead, which can be found in old paint, soil, and dust, has been clearly shown to have adverse health effects on the neurological systems of both children and adults. As part of an ongoing effort to reduce childhood lead poisoning, the U.S. Environmental Protection Agency promulgated the Lead Renovation, Repair, and Painting (RRP) Program rule requiring that paint in target housing built prior to 1978 be tested for lead before any renovation, repair, or painting activities are initiated. This rule has led to a need for a rapid, relatively easy, and an inexpensive method for measuring lead in paint. This paper presents a new method for measuring lead extracted from paint that is based on turbidimetry.
URLs/Downloads:
Field Turbidity Methods for the Determination of Lead in Acid Extracts of Dried Paint (PDF, NA pp, 3893 KB, about PDF)Journal of Environmental Monitoring
