Record Display for the EPA National Library Catalog

RECORD NUMBER: 29 OF 268

OLS Field Name OLS Field Data
Main Title Capability of GC/FT-IR to Identify Toxic Substances in Environmental Sample Extracts.
Author Gurka, D. F. ; Laska, P. R. ; Titus, R. ;
CORP Author Environmental Monitoring Systems Lab., Las Vegas, NV. ;Nevada Univ., Las Vegas. Dept. of Chemistry.
Year Published 1982
Report Number EPA/600/J-82/445;
Stock Number PB85-219376
Additional Subjects Environmental surveys ; Gas chromatography ; Chemical analysis ; Infrared spectroscopy ; Extraction ; Feasibility ; Assessments ; Search structuring ; Information systems ; Reprints ; Toxic substances ; Fourier transform spectroscopy ; Computer aided analysis ; Listings ; Computer applications
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
NTIS  PB85-219376 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 06/21/1988
Collation 12p
Abstract
The minimum identifiable quantities of 55 toxic substances have been determined by packed column gas chromatography/Fourier transform infrared spectroscopy (GC/FT-IR) at conditions compatible with environmental extract analysis. Identification of each GC effluent component was accomplished with an IR reconstructed chromatogram, subsequent interferogram transformation, and on-line library search. GC/FT-IR exhibited its greatest sensitivity to aliphatic and aromatic organic compounds containing carbonyl or other oxygenated functional groups and its poorest sensitivity to alkyl halides and aromatic hydrocarbons. GC/FT-IR sensitivity was inversely proportional to the light pipe temperature. Extracts of the residue from a chemical plant still bottom were injected into the GC/FT-IR system, and the separated components were identified by utilizing an infrared reconstructed chromatogram (IRC) to locate interferogram files of high signal-to-noise ratio. Deconvolution techniques were used to separate the contributions of co-eluting IRC peaks. Interferogram files were then co-added and transformed. An on-line library search of 2300 vapor-phase infrared spectra provided sufficient chemical functionality information to identify most of the extract components.