Do distributions of diamondoid hydrocarbons accumulated in oil-contaminated fish tissues help to identify the sources of oil?
Identifying the sources of environmental oil contamination can be challenging, especially for oil in motile organisms such as fish. Lipophilic hydrocarbons from oil can bioaccumulate in fish adipose tissue and potentially provide a forensic “fingerprint” of the original oil. Herein, diamondoid hydro...
| Main Authors: | , , , , |
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| Format: | Journal Article |
| Language: | English |
| Published: |
2024
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| Subjects: | |
| Online Access: | http://purl.org/au-research/grants/arc/LP170101000 http://hdl.handle.net/20.500.11937/96067 |
| _version_ | 1848766088206090240 |
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| author | Scarlett, Alan Spilsbury, Francis Rowland, S.J. Gagnon, Monique Grice, Kliti |
| author_facet | Scarlett, Alan Spilsbury, Francis Rowland, S.J. Gagnon, Monique Grice, Kliti |
| author_sort | Scarlett, Alan |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Identifying the sources of environmental oil contamination can be challenging, especially for oil in motile organisms such as fish. Lipophilic hydrocarbons from oil can bioaccumulate in fish adipose tissue and potentially provide a forensic “fingerprint” of the original oil. Herein, diamondoid hydrocarbon distributions were employed to provide such fingerprints. Indices produced from diamondoids were used to compare extracts from fish adipose tissues and the crude and fuel oils to which the fish were exposed under laboratory conditions. A suite of 20 diamondoids was found to have bioaccumulated in the dietary-exposed fish. Cross-plots of indices between fish and exposure oils were close to the ideal 1:1 relationship. Comparisons with diamondoid distributions of non-exposure oils produced overall, but not exclusively, weaker correlations. Linear Discriminatory Analysis on a combined set of 15 diamondoid and bicyclane molecular ratios was able to identify the exposure oils, so a use of both compound classes is preferable. |
| first_indexed | 2025-11-14T11:45:35Z |
| format | Journal Article |
| id | curtin-20.500.11937-96067 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| language | eng |
| last_indexed | 2025-11-14T11:45:35Z |
| publishDate | 2024 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-960672024-11-07T01:03:02Z Do distributions of diamondoid hydrocarbons accumulated in oil-contaminated fish tissues help to identify the sources of oil? Scarlett, Alan Spilsbury, Francis Rowland, S.J. Gagnon, Monique Grice, Kliti Adamantane Crude oil Diamondoid Fingerprinting Heavy fuel oil Linear discriminatory analysis Animals Oils Hydrocarbons Fuel Oils Fishes Seafood Petroleum Animals Fishes Hydrocarbons Oils Petroleum Fuel Oils Seafood Identifying the sources of environmental oil contamination can be challenging, especially for oil in motile organisms such as fish. Lipophilic hydrocarbons from oil can bioaccumulate in fish adipose tissue and potentially provide a forensic “fingerprint” of the original oil. Herein, diamondoid hydrocarbon distributions were employed to provide such fingerprints. Indices produced from diamondoids were used to compare extracts from fish adipose tissues and the crude and fuel oils to which the fish were exposed under laboratory conditions. A suite of 20 diamondoids was found to have bioaccumulated in the dietary-exposed fish. Cross-plots of indices between fish and exposure oils were close to the ideal 1:1 relationship. Comparisons with diamondoid distributions of non-exposure oils produced overall, but not exclusively, weaker correlations. Linear Discriminatory Analysis on a combined set of 15 diamondoid and bicyclane molecular ratios was able to identify the exposure oils, so a use of both compound classes is preferable. 2024 Journal Article http://hdl.handle.net/20.500.11937/96067 10.1016/j.marpolbul.2023.115836 eng http://purl.org/au-research/grants/arc/LP170101000 https://creativecommons.org/licenses/by/4.0/ unknown |
| spellingShingle | Adamantane Crude oil Diamondoid Fingerprinting Heavy fuel oil Linear discriminatory analysis Animals Oils Hydrocarbons Fuel Oils Fishes Seafood Petroleum Animals Fishes Hydrocarbons Oils Petroleum Fuel Oils Seafood Scarlett, Alan Spilsbury, Francis Rowland, S.J. Gagnon, Monique Grice, Kliti Do distributions of diamondoid hydrocarbons accumulated in oil-contaminated fish tissues help to identify the sources of oil? |
| title | Do distributions of diamondoid hydrocarbons accumulated in oil-contaminated fish tissues help to identify the sources of oil? |
| title_full | Do distributions of diamondoid hydrocarbons accumulated in oil-contaminated fish tissues help to identify the sources of oil? |
| title_fullStr | Do distributions of diamondoid hydrocarbons accumulated in oil-contaminated fish tissues help to identify the sources of oil? |
| title_full_unstemmed | Do distributions of diamondoid hydrocarbons accumulated in oil-contaminated fish tissues help to identify the sources of oil? |
| title_short | Do distributions of diamondoid hydrocarbons accumulated in oil-contaminated fish tissues help to identify the sources of oil? |
| title_sort | do distributions of diamondoid hydrocarbons accumulated in oil-contaminated fish tissues help to identify the sources of oil? |
| topic | Adamantane Crude oil Diamondoid Fingerprinting Heavy fuel oil Linear discriminatory analysis Animals Oils Hydrocarbons Fuel Oils Fishes Seafood Petroleum Animals Fishes Hydrocarbons Oils Petroleum Fuel Oils Seafood |
| url | http://purl.org/au-research/grants/arc/LP170101000 http://hdl.handle.net/20.500.11937/96067 |