Liu Yu, Xu Jixiang, Chen Wenjing, Li Ying
College of Environmental Science and Engineering, Dalian Maritime University, Dalian 116026, China.
College of Environmental Science and Engineering, Dalian Maritime University, Dalian 116026, China; College of Environmental Science and Engineering, Maritime Safety Administration of the People's Republic of China, Beijing 100736, China.
Mar Pollut Bull. 2017 Jun 15;119(1):238-244. doi: 10.1016/j.marpolbul.2017.04.003. Epub 2017 Apr 14.
A short-term simulated weathering experiment was performed on two crude oils and two heavy fuel oils under natural conditions to evaluate the effects of natural weathering processes by using gas chromatography-mass spectrometry combined with gas chromatography-isotopic ratio mass spectrometry. The results of diagnostic ratios of n-alkanes show that only odd to even predominance (OEP1, OPE2) and carbon preference index (CPI) remain stabilized during the 28 d weathering process, but they cannot effectively distinguish the four types of oils. Statistical analyses based on paired sample t-test and principal component analysis (PCA) revealed that stable carbon isotope compositions of n-alkanes in the four studied oils have no significant changes over the weathering time, and that the carbon isotope discrimination (ΔδC) of n-alkanes is <3‰. We have provided evidence that the stable carbon isotope compositions of n-alkanes compared to n-alkanes diagnostic ratios significantly improve the efficiency and fidelity of the oil fingerprint identification.
在自然条件下，对两种原油和两种重质燃料油进行了短期模拟风化实验，采用气相色谱 - 质谱联用和气相色谱 - 同位素比值质谱法评估自然风化过程的影响。正构烷烃诊断比值的结果表明，在28天的风化过程中，只有奇偶优势（OEP1、OPE2）和碳偏好指数（CPI）保持稳定，但它们无法有效区分这四种油类。基于配对样本t检验和主成分分析（PCA）的统计分析表明，所研究的四种油中正构烷烃的稳定碳同位素组成在风化时间内没有显著变化，且正构烷烃的碳同位素判别（ΔδC）<3‰。我们提供的证据表明，与正构烷烃诊断比值相比，正构烷烃的稳定碳同位素组成显著提高了油指纹识别的效率和准确性。
