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Phytoscreening with SPME: Variability Analysis.

Matt A Limmer1, Joel G Burken

  • 1a Department of Civil, Architectural and Environmental Engineering; Missouri University of Science and Technology , St., Rolla , MO.

International Journal of Phytoremediation
|May 6, 2015
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Summary

Phytoscreening effectively detects chlorinated solvents in groundwater using tree cores and sensitive solid-phase microextraction (SPME) analysis. This sustainable method is reliable across various tree types and diameters.

Keywords:
chlorinated solventsphytoforensicsphytoremediationtree-coring

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Area of Science:

  • Environmental Science
  • Analytical Chemistry
  • Forestry

Background:

  • Phytoscreening utilizes trees to delineate groundwater contamination.
  • Chlorinated solvent contamination in groundwater is a significant environmental concern.
  • Sensitive analytical methods are required for low-concentration detection in biological matrices.

Purpose of the Study:

  • To evaluate the effectiveness of phytoscreening for chlorinated solvent detection.
  • To assess the suitability of solid-phase microextraction (SPME) for analyzing tree core samples.
  • To investigate the influence of tree characteristics on contaminant concentrations.

Main Methods:

  • Phytoscreening using tree core collection.
  • Analysis of tree tissues via solvent-less solid-phase microextraction (SPME).
  • Laboratory experiments and field data analysis to examine competitive sorption and quantify contaminants.

Main Results:

  • SPME is suitable for analyzing chlorinated solvents in complex wood matrices.
  • Tree genus and diameter had a small, though significant, effect on perchloroethylene (PCE) concentrations.
  • Higher Henry's constant and hydrophobicity correlated with reduced contaminant concentrations in trees.
  • Replicate analysis showed a median relative standard deviation (RSD) of 30%, independent of wood type or diameter.

Conclusions:

  • Phytoscreening is a robust and sustainable tool for delineating chlorinated solvent groundwater contamination.
  • SPME provides a sensitive and efficient analytical approach for this application.
  • The method's reliability is confirmed across diverse tree species and sizes.