Determination of C6C10 aromatic hydrocarbons in water by purge-and-trap capillary gas chromatography

Eganhouse, Robert P.; Dorsey, Thomas F.; Phinney, Curtis S; Westcott, Alvin M.

doi:10.1016/0021-9673(93)80334-5

Cited by 19 publications

(9 citation statements)

References 37 publications

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“…The plume was represented by two operationally defined degradable fractions-volatile dissolved organic carbon (VDOC) and nonvolatile dissolved organic carbon (NVDOC). However, evidence suggests that individual hydrocarbon compounds degrade at different rates (Eganhouse et al, 1993a(Eganhouse et al, , 1996. Also, the model used a simple source representation that did not account for dissolution of hydrocarbons from the oil body, and trial-and-error was used to calibrate the model.…”

Section: Inverse Modeling Of the Bemidji Crude Oil Spill Sitementioning

confidence: 99%

“…Ground-water samples from numerous wells along a transect parallel to the direction of groundwater flow ( Fig. 1) were analyzed over time Bennett et al, 1993;Eganhouse et al, 1993a). Purge-and-trap capillary gas chromatography was used to measure BTEX concentrations (Eganhouse et al, 1993b).…”

Section: Available Datamentioning

confidence: 99%

“…Because of the wide range in effective solubilities of BTEX, the concentrations were all normalized by their effective solubility to range between 0 and 1. Eganhouse et al (1993a) report that analytical measurement error is fairly uniform and has a coefficient of variation of 10%. Attempts to weight the observations using this information were not successful.…”

Section: Ucode Inverse Modelmentioning

confidence: 99%

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Inverse modeling of BTEX dissolution and biodegradation at the Bemidji, MN crude-oil spill site

Essaid

Cozzarelli

Eganhouse

et al. 2003

Journal of Contaminant Hydrology

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The U.S. Geological Survey (USGS) solute transport and biodegradation code BIOMOC was used in conjunction with the USGS universal inverse modeling code UCODE to quantify field-scale hydrocarbon dissolution and biodegradation at the USGS Toxic Substances Hydrology Program crude-oil spill research site located near Bemidji, MN. This inverse modeling effort used the extensive historical data compiled at the Bemidji site from 1986 to 1997 and incorporated a multicomponent transport and biodegradation model. Inverse modeling was successful when coupled transport and degradation processes were incorporated into the model and a single dissolution rate coefficient was used for all BTEX components. Assuming a stationary oil body, we simulated benzene, toluene, ethylbenzene, m,p-xylene, and o-xylene (BTEX) concentrations in the oil and ground water, respectively, as well as dissolved oxygen. Dissolution from the oil phase and aerobic and anaerobic degradation processes were represented. The parameters estimated were the recharge rate, hydraulic conductivity, dissolution rate coefficient, individual first-order BTEX anaerobic degradation rates, and transverse dispersivity. Results were similar for simulations obtained using several alternative conceptual models of the hydrologic system and biodegradation processes. The dissolved BTEX concentration data were not sufficient to discriminate between these conceptual models. The calibrated simulations reproduced the general large-scale evolution of the plume, but did not reproduce the observed small-scale spatial and temporal variability in concentrations. The estimated anaerobic biodegradation rates for toluene and o-xylene were greater than the dissolution rate coefficient. However, the estimated anaerobic biodegradation rates for benzene, ethylbenzene, and m,p-xylene were less than the dissolution rate coefficient. The calibrated model was used to determine the BTEX mass balance in the oil body and groundwater plume. This article is a U.S. government work, and is not subject to copyright in the United States.Dissolution from the oil body was greatest for compounds with large effective solubilities (benzene) and with large degradation rates (toluene and o-xylene). Anaerobic degradation removed 77% of the BTEX that dissolved into the water phase and aerobic degradation removed 17%. Although goodness-of-fit measures for the alternative conceptual models were not significantly different, predictions made with the models were quite variable. D

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Section: Inverse Modeling Of the Bemidji Crude Oil Spill Sitementioning

confidence: 99%

Section: Available Datamentioning

confidence: 99%

Section: Ucode Inverse Modelmentioning

confidence: 99%

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Inverse modeling of BTEX dissolution and biodegradation at the Bemidji, MN crude-oil spill site

Essaid

Cozzarelli

Eganhouse

et al. 2003

Journal of Contaminant Hydrology

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“…Compounds were identified by comparison to mass spectral libraries and gas chromatographic retention times (e.g. [23]). Table 1.…”

Section: Methodsmentioning

confidence: 99%

Characterisation of organic inclusions in stalagmites using laser-ablation-micropyrolysis gas chromatography–mass spectrometry

Blyth

Fuentes

George

et al. 2015

Journal of Analytical and Applied Pyrolysis

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a b s t r a c tLaser-micropyrolysis gas chromatography-mass spectrometry (La-Py-GC-MS) allows the analysis of small targeted areas of organic material. In this proof of concept study a novel application of the technique is demonstrated. Three types of organic matter preserved in speleothems were analysed: dissolved organic matter within the calcite crystal matrix; detrital organic inclusions; and lithified guano derived from birds and bats. The results indicate that there is significant heterogeneity within each sample type, with guano samples having the highest variability. However, there are also distinctive La-Py-GC-MS products that allow separation of the sample types geochemically. These include the chain length distribution within the longer chain n-alkanes (>C 20 ), with the guano sample having a dominance of chain lengths below C 27 , whilst the other two sample types are dominated by n-alkanes of C 27 and above. The detrital inclusion sample has a higher relative abundance of pyrrole and methylpyrroles. A homologous series of longer chain alkylbenzenes is seen only in the guano samples.Our preliminary data indicate that fingerprints of La-Py-GC-MS analyses may be useful to provide information on organic matter preserved in speleothems, but more work is required to extend the technique to lower organic content samples, and to fully test the application in a larger dataset of preserved organic matter types.

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“…The application of P&T capillary GC was extended to the quantitative analysis of approximately 35 C 6 to C IO aromatic hydrocarbons (Eganhouse et al, 1993). Randt et al ( 1993) presented both HPLC and GC methods for the analysis of nitrilotriacetic acid, ethylenendiaminetetraacetic acid, and diethylenetriaminepentaacetic acid.…”

Section: New Applicanonsmentioning

confidence: 99%

Chemical species

Jensen¹,

Dietrich²

1994

Water Environment Research

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Determination of C6C10 aromatic hydrocarbons in water by purge-and-trap capillary gas chromatography

Cited by 19 publications

References 37 publications

Inverse modeling of BTEX dissolution and biodegradation at the Bemidji, MN crude-oil spill site

Inverse modeling of BTEX dissolution and biodegradation at the Bemidji, MN crude-oil spill site

Characterisation of organic inclusions in stalagmites using laser-ablation-micropyrolysis gas chromatography–mass spectrometry

Chemical species

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