Paper
22 April 2010 Development of a fieldable rapid pesticide exposure analysis sensing system
Kevin M. Spencer, Susan L. Clauson, Sarah A. Spencer, James M. Sylvia, Quirina M. Vallejos, Sara A. Quandt, Thomas A. Arcury
Author Affiliations +
Abstract
Despite the recent interest in organically grown foods, most agricultural crops use multiple pesticides to optimize yield. There are many persons whose health may be affected by the spraying; there is the active applicator and the passive neighbors. In between these extremes are the farm workers who pick the crops anywhere from days to weeks after application. How much pesticide residue are these workers exposed to during a workday and how much is transferred back to the residence? Despite the low vapor pressures, what is the true concentration of pesticides surrounding a person when pesticides adsorbed to particulate matter are included? What is the relationship between the concentration around an individual and the amount adsorbed/ingested? To answer these questions on a statistically significant scale in actual field conditions, a portable, fast, inexpensive measurement device is required. We present herein results obtained using Surface-Enhanced Raman Spectroscopy (SERS) that demonstrate the capability to detect < 100 organophosphate, organochlorine and carbamate-based pesticides in the vapor phase as well as the ability of SERS sensors to detect a particular analyte in a synthetic urine matrix. We will also present data collected from CDC quantified urine samples and will present results obtained in a field test wherein SERS sensors wore worn as dosimeters in the field and real-time vapor sampling of the farm workers barracks was performed. The issue of potential interferences will also be discussed.
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Kevin M. Spencer, Susan L. Clauson, Sarah A. Spencer, James M. Sylvia, Quirina M. Vallejos, Sara A. Quandt, and Thomas A. Arcury "Development of a fieldable rapid pesticide exposure analysis sensing system", Proc. SPIE 7673, Advanced Environmental, Chemical, and Biological Sensing Technologies VII, 767302 (22 April 2010); https://doi.org/10.1117/12.850182
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Cited by 4 scholarly publications.
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KEYWORDS
Surface enhanced Raman spectroscopy

Sensors

Spectrographs

Silver

Raman spectroscopy

Agriculture

Glasses

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