Oil spill identification

Bentz, Alan P.

doi:10.1021/ac60370a028

Cited by 74 publications

(22 citation statements)

References 3 publications

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“…In the early 1970s, packed-column gas chromatography and ultraviolet or infrared spectroscopy yielded basic, semiquantitative fingerprints of spilled oils (e.g., Ehrhardt and Blumer, 1972;Bentz, 1976). In the early 1970s, packed-column gas chromatography and ultraviolet or infrared spectroscopy yielded basic, semiquantitative fingerprints of spilled oils (e.g., Ehrhardt and Blumer, 1972;Bentz, 1976).…”

Section: Historical Perspectivementioning

confidence: 99%

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Chemical fingerprinting of spilled or discharged petroleum — methods and factors affecting petroleum fingerprints in the environment

Stout¹,

Wang

2007

Oil Spill Environmental Forensics

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Section: Historical Perspectivementioning

confidence: 99%

“…(e.g., Kreider, 1971;Ehrhardt and Blumer, 1972;Duewer et al, 1975;Bentz, 1976Bentz, , 1978Albaiges and Albrecht, 1979). (e.g., Kreider, 1971;Ehrhardt and Blumer, 1972;Duewer et al, 1975;Bentz, 1976Bentz, , 1978Albaiges and Albrecht, 1979).…”

Section: Introductionmentioning

confidence: 99%

Chemical fingerprinting of spilled or discharged petroleum — methods and factors affecting petroleum fingerprints in the environment

Stout¹,

Wang

2007

Oil Spill Environmental Forensics

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“…However, the large variability in the composition of crude oils and the complex ageing processes oil suffers in nature, especially at sea, make identification of the most probable source of a spillage a difficult problem. The US Coast Guard Research and Development Center pioneered the first systematic analytical procedure after increased social environmental awareness and resulting regulations [1,2]. In the last four decades, abundant literature on the fate, effects, and sources of spilled oils and petroleum products has been published [3][4][5][6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Objective chemical fingerprinting of oil spills by partial least-squares discriminant analysis

et al. 2012

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An objective method based on partial least-squares discriminant analysis (PLS-DA) was used to assign an oil lump collected on the coastline to a suspected source. The approach is an add-on to current US and European oil fingerprinting standard procedures that are based on lengthy and rather subjective visual comparison of chromatograms. The procedure required an initial variable selection step using the selectivity ratio index (SRI) followed by a PLS-DA model. From the model, a "matching decision diagram" was established that yielded the four possible decisions that may arise from standard procedures (i.e., match, non-match, probable match, and inconclusive). The decision diagram included two limits, one derived from the Q-residuals of the samples of the target class and the other derived from the predicted y of the PLS model. The method was used classify 45 oil lumps collected on the Galician coast after the Prestige wreckage. The results compared satisfactorily with those from the standard methods.

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“…As stated by Adlard [2], nearly every known analytical technique has been used or suggested for oil pollutant identification. Nevertheless, methods based on the use of instrumental techniques are preferred because they are faster and more informative, inasmuch as they provide multiparametric profiles that can be specific enough for each pollutant In this respect, the use of infrared [3], UV fluorescence 141, and synchronous excitation spectroscopy [q, neutron activation [6], FID [i'l, FPD [8], and ECD [9] gas chromato-graphy, GPC [lo], computerizedGC-MS 1111, conventional HPLC [12], etc ... has been investigated and the most relevant achievements in the field extensively reviewed [13,14]. Moreover, a wide variety of methods for interpreting the data collected have been proposed, ranging from simple matching by visual Comparison of the fingerprints to more sophisticated statistical methods [6,15,16,17J, including pattern recognition techniques.…”

Section: Introductionmentioning

confidence: 99%