Evaporation and photochemical effects on asphaltene profiling of heavy fuel oil

This data set contains GC-MS, FTIR and Pyrolysis GC-MS data on the asphaltene fraction of a heavy fuel oil. This includes fresh heavy fuel oil (unweathered heavy fuel oil) and weathered heavy fuel oil, where the weathering effects were evaporation and photo-oxidation. The data set includes heavy fuel oil that was exposed to evaporation and photo-oxidation combined (treatment samples) and also heavy fuel oil that was exposed to evaporation but not photo-oxidation (control samples). The data exploration is self-explanatory from the files provided. The data is available only for information purposes and is not licenced for reuse.The FTIR data was obtained using the methods described in Brenden J. Riley, Chris Lennard, Stephen Fuller & Val Spikmans (2016): An FTIR method for the analysis of crude and heavy fuel oil asphaltenes to assist in oil fingerprinting, Forensic Science International, Vol. 266, pp. 555-564, http://doi.org/10.1016/j.forsciint.2016.07.018The pyrolysis GC-MS data was obtained using the methods described in Brenden J. Riley, Chris Lennard, Stephen Fuller & Val Spikmans (2017): Pyrolysis-GC-MS analysis of crude and heavy fuel oil asphaltenes for application in oil fingerprinting, Environmental Forensics, Vol. 19, No 1, pp. 14-26, http://doi.org/10.1080/15275922.2017.1408163The GC-MS data was obtained using the methods described in European Committee for Standardization (CEN). 2012. Oil spill identification - waterborne petroleum and petroleum products - Part 2: analytical methodology and interpretation of results based on GC-FID and GC-MS low resolution analyses. Brussels, Belgium, no. CEN/TR 15522-2: 2012.

本数据集包含重质燃料油沥青质组分的气相色谱-质谱（GC-MS）、傅里叶变换红外光谱（FTIR）以及热解气相色谱-质谱（Pyrolysis GC-MS）数据。样本涵盖新鲜重质燃料油（未风化重质燃料油）与风化重质燃料油，其中风化作用类型为蒸发与光氧化过程。数据集包含同时经历蒸发与光氧化的重质燃料油（处理组样本），以及仅经历蒸发、未发生光氧化的重质燃料油（对照组样本）。所提供文件已可清晰说明数据探索的相关细节。本数据集仅用于信息参考，未授权任何形式的复用。傅里叶变换红外光谱（FTIR）数据采用Brenden J. Riley、Chris Lennard、Stephen Fuller与Val Spikmans于2016年发表的方法获取：《用于原油及重质燃料油沥青质分析以辅助油品指纹识别的傅里叶变换红外光谱法》，载于《Forensic Science International》第266卷，第555-564页，DOI: 10.1016/j.forsciint.2016.07.018。热解气相色谱-质谱（Pyrolysis GC-MS）数据采用上述作者团队2017年发表的方法获取：《用于原油及重质燃料油沥青质分析以应用于油品指纹识别的热解-气相色谱-质谱法》，载于《Environmental Forensics》第19卷第1期，第14-26页，DOI: 10.1080/15275922.2017.1408163。气相色谱-质谱（GC-MS）数据采用欧洲标准化委员会（CEN）2012年发布的标准方法：《溢油识别——水生石油及石油产品 第2部分：基于气相色谱-火焰离子化检测器（GC-FID）与低分辨GC-MS分析的方法学与结果解读》，比利时布鲁塞尔，标准编号CEN/TR 15522-2:2012。