|
Research Areas
Chemical Hazards
Dynamic Workplans and Adaptive Sampling and Analysis Programs
The ability to rapidly assess the presence/absence of environmental
contaminants is an essential component of the nation's environmental
restoration program. Each site, whether owned by the public or private
sector, must be evaluated to determine whether risk to human health or
the environment exists. If the data obtained supports the fact that an
acceptable level or no risk exists at the site for the intended use, no
further action is required. If, on the other hand, sufficient risk
exists to require a full site characterization, the site investigation
effort must delineate the nature, extent, direction, concentration, and
rate of contaminant movement. Field analytics plays a key role in this
process when data are produced quickly enough to make decisions in the
field. This requires that neither sample collectors nor analysts sit
idle waiting for one another. Dynamic workplans rely on an initial
conceptual model and an adaptive sampling and analysis strategy. Rather
than dictate the details of the type of sample analysis to be performed
and the location and number of samples to be collected, dynamic
workplans specify the decision-making logic that will be used in the
field to determine which analytes to analyze, where to collect the
samples, and when to stop sampling. Adaptive sampling and analysis
programs change as the conceptual model for the site is refined based on
the results obtained in the field. The conceptual model is dynamic in
nature; it changes as on-site activities proceed and reflects the "new"
knowledge gained through field studies. A successful adaptive
sampling and analysis program requires analytical instrumentation and
methods that are field-practical and can produce verifiable data fast
enough to support the on-site decision making process.
Performance-based measurement systems meet this challenge
Please visit our page of Additional Resources
to download related documents and videos.
Subsurface Detection of Organics
A real-time chemical sensor is being developed for detection of environmental pollutants as
the sensor is advanced into the subsurface. Soil-bound organics are
thermally desorbed, collected,
transferred to the surface, where
aromatics and chlorinated compounds are detected by a photoionization or
electron impact detector, respectively. Upon detection, organics are
transferred through a heated valve to a freeze-trap where they are
concentrated prior to thermal desorption GC/MS analysis. Research shows
when moisture content is < 15%, recoveries are between 50 and 100% for
most pollutants. For groundwater, a membrane is used, which retards
water from passing through the membrane but allows organics through.
Although extraction efficiency is lower, the sensor provides the best
means to find dense nonaqueous liquids in groundwater.
Research is in progress to identify or make a high temperature membrane or solid
material that can be heated to 400 0C so that the same
collection system can be used for soil and groundwater.
Real-time depth profiling of the subsurface provides continuous
information as to the presence/absence of contaminants. When coupled
with dynamic workplan strategies and EPA’s TRIAD process, site and
remedial investigations can be accomplished faster, cheaper, but most
importantly, with data density sufficient to reduce decision
uncertainties. New transfer lines and direct reading mass spectrometers are being
interfaced to address homeland security and sick building applications.
Forensic Chemistry
Forensic studies rely on quantitative
measurements of specific chemicals or families of chemically related
compounds. For coal tar, petroleum, combustion/explosion, and
fire-related investigations, gas chromatography/mass spectrometry
(GC/MS) data of benzothiophenes, polycyclic aromatic hydrocarbons (PAH),
and their alkylated analogs (the C1-C4, saturated
side chains) are used to distinguish contaminant source(s), assign
blame, and proportion liability as well as determine degradation,
evaporation, and washing rates due to interactions with the environment.
Quantitative identification by GC/MS is only possible when target
compound mass spectra are unencumbered by coeluting compounds, which is
not the case. Chemical noise from the matrix masks target compound
spectra making full scan (sample vs. library) spectral matching
impossible to validate. Selected ion monitoring (SIM), whether by
molecular or multiple ions per homolog, has evolved into the technique
of choice based on the false presumption that matrix interferences are
minimized.
Research is aimed at developing methods based on spectral
deconvolution to more accurately estimate homolog and degradation
products of interest in environmental and crime scene investigations as
well as drugs and drug breakdown products at trace levels in complex
matrixes such as urine and tissue extracts.
Pesticides in Food
Rapid, accurate, and inexpensive analysis of pesticides in food and
beverages is of primary importance, especially since governments
continue to increase the number of compounds to be screened as well as
measurement sensitivity. The analysis of foods and beverages is
complicated by the number (hundreds) of interfering compounds present in
the sample. Toward this end, we have made libraries of pesticides and
analyzed them both as target compounds and unknowns. We showed that the
pesticides can be analyzed quantitatively independent of retention time
information when the Ion FingerprintTM deconvolution
algorithms are used. When 112 pesticides at 4 ng per compound were
injected on column as a standard or from orange oil-pesticide spiked
solution and searched as unknowns, 110 of the 112 compounds were
correctly identified, with the average pesticide recovery 101 ± 19%. No
false negatives were found, since ion signals were not acquired by the
instrument for the two pesticides not detected in either the standard or
fortified mixtures. No false positives were detected despite the fact
more than 750 widely different compounds were included in the library
search.
< Back to research areas. |