Characterisation of refractory wastes at hydrocarbon-contaminated sites-II. Screening of reference oils by stable carbon isotope fingerprinting

Identification of refined petroleum products in contaminated soils using an identification index for GC chromatograms

Hydrocarbons found in the environment are typically characterized by gas chromatography (GC). The shape of the GC chromatogram has been used to identify the source of petroleum contamination. However, the conventional practice of simply comparing the peak patterns of source products to those of environmental samples is dependent on the subjective decisions of individual analysts. We have developed and verified a quantitative analytical method for interpreting GC chromatograms to distinguish refined petroleum products in contaminated soils. We found that chromatograms for gasoline, kerosene, and diesel could be divided into three ranges with boundaries at C6, C8, C16, and C26. In addition, the relative peak area (RPA(GC)) of each range, a dimensionless ratio of the peak area within each range to that of the total range (C6-C26), had a unique value for each petroleum product. An identification index for GC chromatograms (ID(GC)), defined as the ratio of RPA(GC) of C8-C16 to that of C16-C26, was able to identify diesel and kerosene sources in samples extracted from artificially contaminated soils even after weathering. Thus, the ID(GC) can be used to effectively distinguish between refined petroleum products in contaminated soils.

Molecular evidence of heavy-oil weathering following the M/V Cosco Busan spill: insights from Fourier transform ion cyclotron resonance mass spectrometry

Recent studies have highlighted a critical need to investigate oil weathering beyond the analytical window afforded by conventional gas chromatography (GC). In particular, techniques capable of detecting polar and higher molecular weight (HMW; > 400 Da) components abundant in crude and heavy fuel oils (HFOs) as well as transformation products. Here, we used atmospheric pressure photoionization Fourier transform ion cyclotron resonance mass spectrometry (APPI FT-ICR MS) to identify molecular transformations in oil-residue samples from the 2007 M/V Cosco Busan HFO spill (San Francisco, CA). Over 617 days, the abundance and diversity of oxygen-containing compounds increased relative to the parent HFO, likely from bio- and photodegradation. HMW, highly aromatic, alkylated compounds decreased in relative abundance concurrent with increased relative abundance of less alkylated stable aromatic structures. Combining these results with GC-based data yielded a more comprehensive understanding of oil spill weathering. For example, dealkylation trends and the overall loss of HMW species observed by FT-ICR MS has not previously been documented and is counterintuitive given losses of lower molecular weight species observed by GC. These results suggest a region of relative stability at the interface of these techniques, which provides new indicators for studying long-term weathering and identifying sources.

Identifying source correlation parameters for hydrocarbon wastes using compound-specific isotope analysis

A preliminary evaluation of compound-specific isotope analysis (CSIA) as a novel, alternative method for identifying source correlation compounds in soils contaminated with residual heavy or weathered petroleum wastes is presented. Oil-contaminated soil microcosms were established using soil (sandy-loam, non-carbonaceous cley) amended with ballast-, crude- or No.6 fuel oil. Microcosms were periodically sampled over 256 days and delta(13)C values (which express the ratio of (13)C to (12)C) determined at each time point for five n-alkanes and the isoprenoid norpristane using gas chromatography-isotope ratio mass spectrometry (GC-IRMS). Although some temporal variation was observed, no significant temporal shifts in the delta(13)C values for the five n-alkanes were measured in all three oils. Isoprenoid isotope ratios (delta(13)C) appeared to be least affected by biotransformation, especially in the No.6 fuel oil. The research suggests that the delta(13)C of isoprenoids such as norpristane, may be of use as source correlation parameters.

Forensic applications of isotope ratio mass spectrometry—A review

The key role of a forensic scientist is to assist in determining whether a crime has been committed, and if so, assist in the identification of the offender. Many people hold the belief that a particular item can be conclusively linked to a specific person, place or object. Unfortunately, this is often not achievable in forensic science. In performing their role, scientists develop and test hypotheses. The significance of those hypotheses that cannot be rejected upon completion of all available examinations/analyses is then evaluated. Although one can generally identify the substances present using available techniques, it is generally not possible to distinguish one source of the same substance from another. In such circumstances, although a particular hypothesis cannot be rejected, it cannot be conclusively proven, i.e. the samples could still have originated from different sources. This limitation of not being able to distinguish between sources currently extends to the analysis of other forensic samples including, but not limited to, ignitable liquids, paints, adhesives, textile fibres, plastics, and illicit drugs. Stable isotope ratio mass spectrometry (IRMS) is an additional technique that can be utilised to test a given hypothesis. This technique shows the potential to be able to individualise a range of materials of forensic interest. This paper provides a brief description of the technique, followed by a review of the various applications of IRMS in different scientific fields. The focus of this summary is on forensic applications of IRMS, in particular the analysis of explosives, ignitable liquids and illicit drugs.

Development of oil hydrocarbon fingerprinting and identification techniques

Oil, refined product, and pyrogenic hydrocarbons are the most frequently discovered contaminants in the environment. To effectively determine the fate of spilled oil in the environment and to successfully identify source(s) of spilled oil and petroleum products is, therefore, extremely important in many oil-related environmental studies and liability cases. This article briefly reviews the recent development of chemical analysis methodologies which are most frequently used in oil spill characterization and identification studies and environmental forensic investigations. The fingerprinting and data interpretation techniques discussed include oil spill identification protocol, tiered analytical approach, generic features and chemical composition of oils, effects of weathering on hydrocarbon fingerprinting, recognition of distribution patterns of petroleum hydrocarbons, oil type screening and differentiation, analysis of "source-specific marker" compounds, determination of diagnostic ratios of specific oil constituents, stable isotopic analysis, application of various statistical and numerical analysis tools, and application of other analytical techniques. The issue of how biogenic and pyrogenic hydrocarbons are distinguished from petrogenic hydrocarbons is also addressed.

Molecular and stable carbon isotopic source identification of oil residues and oiled bird feathers sampled along the Atlantic Coast of France after the Erika oil spill

The Erika tanker broke in two close to the Atlantic coast of France on December 12, 1999. On December 25th, some heavy fuel oil released by the tanker came ashore along the French Atlantic Coast. Some oil residues and oiled bird feathers were collected all along the Atlantic Shoreline of France after the wreck of the Erika tanker. The aim of this study was to differentiate oil residues and oiled bird feathers related to the Erika oil spill from the ones resulting from the numerous tar ball incidents which had occurred after the Erika oil spill. Alkane and PAH quantification of oil residues allowed differentiation of the samples collected on the north part of the Atlantic Coast from those collected on the south part of the Atlantic shoreline. All oiled birds appear to have been contaminated by the Erika oil. Samples collected on the south part of the Atlantic Coast contain a different molecular fingerprint compared to the Erika oil indicating that they are not related to the Erika oil spill. Bulk and molecular 13C/12C ratio measurements were performed in order to check the discriminative feature and the stability of the isotopic approach. Bulk stable carbon isotopic composition has been shown to be a valuable screening correlation tool as it confirms the link of samples collected in the north part of the Atlantic Coast with the Erika oil spill. All the samples collected along the south part of the Atlantic Shoreline exhibit 13C-enriched bulk isotopic compositions compared to Erika oil. Molecular isotopic composition of saturated hydrocarbons and of phenanthrene compounds also allows unambiguous differentiation of samples related to the Erika oil spill from those due to tar ball incidents. Over the long-term, when molecular distribution will have been modified by the different processes affecting oil in the marine environment, molecular isotopic composition should then be of particular help for Erika oil residues identification.

Applied gas chromatography coupled to isotope ratio mass spectrometry

Compound-specific isotope analysis (CSIA) by isotope ratio mass spectrometry (IRMS) following on-line combustion (C) of compounds separated by gas chromatography (GC) is a relatively young analytical method. Due to its ability to measure isotope distribution at natural abundance level with great accuracy and high precision, GC-C-IRMS has increasingly become the method of choice in authenticity control of foodstuffs and determination of origin in archaeology, geochemistry, and environmental chemistry. In combination with stable isotope labelled compounds, GC-C-IRMS is also used more and more in biochemical and biomedical application as it offers a reliable and risk-free alternative to the use of radioactive tracers. The literature on these topics is reviewed from the advent of commercial GC-C-IRMS systems in 1990 up to the beginning of 1998. Demands on sample preparation and quality of GC separation for GC-C-IRMS are discussed also.

The fate of heavy oil wastes in soil microcosms. I: A performance assessment of biotransformation indices

A controlled soil microcosm study was used to evaluate the performance of selected oil biotransformation indices using samples of Nigerian crude, a blended ballast oil and No. 6 fuel oil. Biotic losses were demonstrated through loss of solvent extractable matter (SEM) and changes in class fraction distribution in weathered soil extracts relative to sterilised controls. GC-EI MS peak identification and quantification was achieved for selected (sigma) n-alkanes, the isoprenoid alkanes norpristane (iC18), pristane (iC19) and phytane (iC20), combined mono-substituted (1-, 2-, 3- and 9-) methylphenanthrenes (sigma methylphenanthrenes), combined dimethylphenanthrenes (sigma dimethylphenanthrenes) and the hopane isomers 17 alpha(H)21 beta(H)-hopane and 17 alpha(H)21 beta(H)-30-norhopane. The [sigma n-alkanes:17 alpha(H)21 beta(H)-hopane] index was most sensitive to oil biotransformation and most accurately reflected depletion of oil from contaminated soils in this study. This index was found to be the most reliable for the No. 6 fuel oil saturates, dropping from 81.9 to 18.1 over the course of the 256-day microcosm study. In terms of sensitivity, and taking into account the results of an ANOVA analysis, the biotransformation indices most sensitive to oil biotransformation were (in order of decreasing sensitivity): [sigma C14-28:17 alpha(H)21 beta(H)-hopane] >> [sigma C14-28:sigma dimethylphenanthrenes] > [C18:phytane].

The fate of heavy oil wastes in soil microcosms. II: A performance assessment of source correlation indices

Chemical fingerprinting is commonly undertaken to assist in the resolution of multi-party liability disputes, particularly when contaminants have migrated beyond property boundaries, in litigation-driven environmental assessments related to oil spills, and in assessing potential environmental impacts following releases of petroleum products into the environment. In this paper, we present data relating to the performance of source correlation indices for selected heavy oils over the course of a 9-month microcosm study. The results obtained in this study demonstrated that hopane pair indices varied little in magnitude, and may therefore be considered reliable source correlation indices. Over the course of the 9-month microcosm study [17 alpha(H)21 beta(H)-norhopane: 17 alpha(H)21 beta(H)-hopane] exhibited mean values of 0.7 +/- 0.1 for a heavy ballast oil, and mean values that varied between 0.6 and 0.7 (+/- 0.05) for a crude oil. Similarly [(17 alpha(H)21 beta(H)-homohopane (22S): 17 alpha(H)21 beta(H)-homohopane (22R)] gave a mean value of 1.3 (precisions less than 0.05) and [17 alpha(H)21 beta(H)-bishomohopane: 17 alpha(H)21 beta(H)-methylhopane] varied between 1.3 and 1.6 (precision up to 0.1) for the same crude oil. These source correlation indices may be used to support a correlation between fresh and weathered oil samples for source identification purposes involving heavy and crude oil contamination of the terrestrial environment.