Web Release Date: July 19,
Trace Analysis of Semivolatile Organic Compounds in Large Volume Samples of Snow, Lake Water, and Groundwater
and


Departments of Chemistry and Environmental & Molecular Toxicology, Oregon State University, Corvallis, Oregon 97331-7301
Received for review April 5, 2005
Revised manuscript received June 6, 2005
Accepted June 15, 2005
Abstract:
An analytical method was developed for the trace
analysis of a wide range of semivolatile organic compounds
(SOCs) in 50-L high-elevation snow and lake water
samples. The method was validated for 75 SOCs from
seven different chemical classes (polycyclic aromatic
hydrocarbons, organochlorine pesticides, amides, triazines,
polychlorinated biphenyls, thiocarbamates, and phosphorothioates) that covered a wide range of physical-chemical
properties including 7 orders of magnitude of octanol-water partition coefficient (log Kow = 1.4-8.3). The SOCs
were extracted using a hydrophobically and hydrophilically
modified divinylbenzene solid-phase extraction device
(modified Speedisk). The average analyte recovery from
50 L of reverse osmosis water, using the modified Speedisk,
was 99% with an average relative standard deviation of
4.8%. Snow samples were collected from the field, melted,
and extracted using the modified Speedisk and a poly(tetrafluoroethylene) remote sample adapter in the laboratory.
Lake water was sampled, filtered, and extracted in situ
using an Infiltrex 100 fitted with a 1-
m glass fiber filter to
trap particulate matter and the modified Speedisk to trap
dissolved SOCs. The extracts were analyzed by gas
chromatographic mass spectrometry with electron impact
ionization and electron capture negative ionization using
isotope dilution and selective ion monitoring. Estimated method
detection limits for snow and lake water ranged from 0.2
to 125 pg/L and 0.5-400 pg/L, respectively. U.S. historic and
current-use pesticides were identified and quantified in
snow and lake water samples collected from Rocky Mountain
National Park, CO. The application of the analytical
method to the analysis of SOCs in large-volume groundwater
samples is also shown.
Download the full text: PDF | HTML