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Rapid Determination of Mercury in Contaminated Soil and Plant Samples Using Portable Mercury Direct Analyzer without Sample Preparation, a Comparative Study
Authors:John G Kelly  Fengxiang X Han  Yi Su  Yunjun Xia  Valerie Philips  Zhiqi Shi  David L Monts  Sergio T Pichardo  Kang Xia
Institution:1. Institute for Clean Energy Technology, Mississippi State University, 205 Research Blvd, Starkville, MS, 39759, USA
2. Department of Chemistry and Biochemistry, Jackson State University, 1400 J. R. Lynch St, Jackson, MS, 39217, USA
3. Institute of Food Quality, Safety and Monitoring, Jiangsu Academy of Agricultural Sciences, Nanjing, 210014, China
4. Department of Physics and Astronomy, Mississippi State University, Mississippi State, MS, 39762, USA
5. Department of Crop & Soil Environmental Science, Virginia Polytechnic Institute and State University, Blacksburg, USA
Abstract:The objective of this study was to determine the efficiency of a portable total mercury analyzer (OhioLumex RA-915+) in comparison with traditional analytical methods, such as inductively coupled plasma atomic emission spectrometry and cold vapor atomic absorption. The quick mercury analytical procedure with the direct mercury analyzer without sample pretreatment (such as sample digestion) was optimized for a variety of environmental samples, including contaminated soil and plant samples. The efficiency was evaluated using practical parameters, such as time required for analysis, sample amount, mercury species, accuracy, and precision/reproducibility, as well as using statistical analysis. Our results demonstrate that these three instrumental methods yielded similar mercury concentration values and statistical data, while the mercury direct analyzer had the advantages of not requiring for sample digestion and only requiring a small quantity of samples for distribution of mercury in a single root, a single root hair, and sub-regions of a single leaf of plants. These factors are used to justify use of the portable direct mercury analyzer under field conditions and validation of the results.
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