Forensic Fingerprinting of Biomarkers for Oil Spill Characterization and Source Identification

作者
Zhendi Wang,Scott A. Stout,Merv Fingas
出处
期刊:Environmental Forensics [Taylor & Francis]
卷期号:7 (2): 105-146 被引量:324
标识
DOI:10.1080/15275920600667104
摘要

Biomarkers are one of the most important hydrocarbon groups in petroleum. Biomarkers can be detected in low quantities (ppm and sub-ppm level) in the presence of a wide variety of other types of petroleum hydrocarbons by the use of the gas chromatography/mass spectrometry (GC/MS). Relative to other hydrocarbon groups in oil such as alkanes and most aromatic compounds, biomarkers are more degradation-resistant in the environment. Furthermore, biomarkers formed under different geological conditions and ages may exhibit different biomarker fingerprints. Therefore, chemical analysis of biomarkers generates information of great importance to environmental forensic investigations in terms of determining the source of spilled oil, differentiating and correlating oils, and monitoring the degradation process and weathering state of oils under a wide variety of conditions. This article briefly reviews biomarker chemistry, biomarker characterization and quantification, biomarker distributions, weathering effects on biomarker composition, bicyclic biomarker sesquiterpanes and diamondoids, diagnostic ratios and cross-plots of biomarkers, unique biomarkers, application of biomarker fingerprinting techniques for spill source identification, and application of multivariate statistical analysis for biomarker fingerprinting.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
酷波er应助科研通管家采纳,获得30
1秒前
852应助科研通管家采纳,获得10
1秒前
1秒前
1秒前
Lucas应助科研通管家采纳,获得10
1秒前
李健应助科研通管家采纳,获得10
2秒前
wanci应助科研通管家采纳,获得10
2秒前
田様应助科研通管家采纳,获得10
2秒前
2秒前
yangya完成签到,获得积分10
3秒前
盘菜应助科研通管家采纳,获得10
3秒前
22336应助科研通管家采纳,获得20
4秒前
NexusExplorer应助科研通管家采纳,获得10
4秒前
顾矜应助科研通管家采纳,获得10
4秒前
4秒前
充电宝应助科研通管家采纳,获得10
4秒前
luxkex完成签到,获得积分0
4秒前
华仔应助科研通管家采纳,获得10
4秒前
5秒前
小二郎应助科研通管家采纳,获得10
5秒前
四喜丸子应助科研通管家采纳,获得10
5秒前
5秒前
6秒前
6秒前
小小百完成签到,获得积分10
7秒前
珍珠奶茶完成签到,获得积分10
8秒前
lv发布了新的文献求助10
8秒前
reubenxq完成签到 ,获得积分10
9秒前
Blummer完成签到,获得积分10
9秒前
11发布了新的文献求助10
9秒前
魔幻友菱完成签到 ,获得积分10
10秒前
11秒前
旷野完成签到,获得积分10
12秒前
flysky120完成签到,获得积分10
13秒前
15秒前
15秒前
妍宝贝完成签到 ,获得积分10
16秒前
16秒前
祁瓀完成签到 ,获得积分10
17秒前
ssw完成签到,获得积分10
19秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Health Psychology 800
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Electric machines: theory, operating applications, and controls 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
When Is Two-Stage Sample Robust Optimization Asymptotically Optimal? 500
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7592819
求助须知:如何正确求助?哪些是违规求助? 9170136
关于积分的说明 19627233
捐赠科研通 7170709
什么是DOI,文献DOI怎么找? 3267520
关于科研通互助平台的介绍 2432405
邀请新用户注册赠送积分活动 2260061