燃料油与典型渤海原油指纹特征差异性初探

试验选3种燃料油和典型渤海原油SZ36-1进行了特征信息和指纹特征的比较研究。结果表明:燃料油和典型原油之间,nC17/姥鲛烷、nC18/植烷特征比值的差异性较为显著;多环芳烃含量的差异并不能体现燃料油和典型原油的本质特性;所选取的33个生物标志物特征比值中69.70%体现了燃料油之间的相似性,其中30.30%的特征比值进一步体现了燃料油与典型原油的差异性,可作为燃料油和原油油种鉴别的重点筛查指标。     

基于石油烃特征比值的多元统计方法进行原油鉴别

基于原油中有生源意义的生物标志物及原油特征多环芳烃的特征比值,采用主成分分析和聚类分析法,对渤海3个不同区块的4种原油,以及其中1种原油风化7d、15d和30d的风化油样和陆地油田1和陆地油田2各1种原油进行鉴别。结果显示:利用主成分分析和聚类分析可以实现大量油样的快速分类鉴别,不仅可以对差异较大的原油进行区分,还可以对原始原油及其风化原油进行很好分辨,但对差异较小的原油,两种分析方法的分辨能力仍有一定局限性。     

原油中芳香硫化合物形态分布的研究

建立了原油中多环芳香硫化合物形态分布的研究方法。采用氯化钯/硅胶配位交换色谱分离原油中的芳香硫化合物,并用气相色谱/质谱分析、气相色谱-硫化学发光检测法结合色谱保留指数,鉴定出原油中的100多个多环芳香硫化物,包括含烷基取代基的苯并噻吩和二苯并噻吩类硫化物。定量分析表明,二苯并噻吩类化合物的含量占芳香硫化合物总量的91%左右。该方法可用于不同来源的原油中芳香硫化合物的形态分布研究。     

多环芳烃指纹用于渤海采油平台原油的鉴别

采用气相色谱/质谱方法,对渤海海上4个不同区块、5个平台的6口油井原油进行了烷基化多环芳烃系列化合物和美国环保署（EPA）优先控制多环芳烃系列化合物的准确定性定量分析。通过多环芳烃原始指纹谱图、多环芳烃组分分布模式和特征比值的比较对上述原油进行鉴别。结果证明不同区块的原油中多环芳烃指纹信息不尽相同,即使在同一平台不同油井中所产的原油其指纹也存在一定差异。为确保原油鉴别的准确性,分析过程中必须在仪器的稳定性和样品前处理方面实施严格的质量控制措施。     

羟基多环芳烃的电喷雾电离离子阱串联质谱检测

采用电喷雾电离离子阱串联质谱检测了1-/2-羟基萘、 2-羟基芴、 2-/3-/4-/9-羟基菲、 6-羟基屈和3-羟基苯并[a]芘等9种不同环数的羟基多环芳烃(OH-PAHs, 2~5环), 考察了碰撞诱导解离操作参数活化值Q和相对碰撞能量对羟基多环芳烃各单体碎片离子产率的影响. 通过优化活化值Q和相对碰撞能量, 得到了3-羟基苯并[a]芘的碎片离子, 提高了1-羟基萘、 2-羟基芴、 3-/9-羟基菲和6-羟基屈碎片离子的产率, 并发现活化值Q是电喷雾电离离子阱串联质谱检测不同环数PAHs的关键参数.     

烟气中多环芳烃吸附脱除的研究

针对热电厂烟气中排放的多环芳烃（PAHs）污染物，在实验室规模上研究了六种吸附剂对烟气中典型的PAHs, 如萘（Nap）、芴（Flu）、菲（Phe）的吸附脱除行为。考察了吸附剂结构特征与Nap，Flu，Phe高温脱除的相关性，并对煤质活性炭（AC-1）在160 ℃～200 ℃下的吸附等温线进行了研究。结果表明，吸附剂对PAHs的吸附能力与其结构参数中BET表面积和微孔体积具有紧密相关性，而与中孔体积没有明显关系；活性炭表现出很好的脱除烟气中PAHs的作用；吸附剂对PAHs的吸附能力随着PAHs的质量分数增大而增大，随吸附温度的增加而减小；随着PAHs的碳原子数和芳环数增加，其在吸附剂上的吸附能力也增强。     

十八烷基离子液体杂化固相微萃取整体柱用于检测咖啡中的多环芳烃

以自制的1-十八烷基-3-(γ-三乙氧基硅基丙基)咪唑溴盐离子液体(C18IL)、二苯基二甲氧基硅烷(DDS)和四乙氧基硅烷(TEOS)为功能单体,采用溶胶-凝胶法制备了烷基咪唑基离子液体管内固相微萃取整体柱(C18IL in-tube SPME).以多环芳烃为分析对象,考察了C_(18)IL含量对C_(18)IL in-tube SPME萃取性能的影响,并对萃取条件进行了优化.建立了基于C_(18)IL in-tube SPME-气相色谱(GC-FID)的分析方法,用于检测萘、芴、菲、荧蒽和芘5种多环芳烃.该方法的检出限(S/N=3)为0.007~0.072μg/L,定量限(S/N=10)为0.023~0.24μg/L,日内和日间精密度(RSD)除菲类多环芳烃外均小于10%.将该方法用于检测咖啡中5种多环芳烃,3个不同浓度下的加标回收率为85.79%~103.42%.     

十八烷基改性纳米二氧化硅涂层毛细管柱在毛细管电色谱中的应用

采用液相沉积技术制备了纳米二氧化硅涂层毛细管,经十八烷基改性,将其作为开管毛细管电色谱(OTCEC)分离介质。研究了该涂层毛细管的电渗流行为,考察了烷基苯和多环芳烃的毛细管电色谱分离性能。结果表明,该涂层固定相对这些化合物表现出较强的疏水作用;增加液相沉积涂层次数有利于增加溶质的保留因子,四种多环芳烃和四种苯同系物在该柱上可实现基线分离。此外,该涂层制备简单、重现性好,并在应用中表现出较高的稳定性。     

基于七元瓜环多维配位聚合物的新型固相微萃取纤维的制备及对环境水样中多环芳烃的检测应用

以四氯化镉酸根离子[CdCl4]2-诱导形成的Eu3+-七元瓜环(Q[7]/Eu)多维配位聚合物为涂层材料,采用高温环氧树脂固定涂层制备了一种新型固相微萃取纤维。利用电镜和热重分析对纤维的表面形态和热稳定性进行了考察。实验结果表明该聚合物涂层表面疏松、多孔,热稳定性好。在优化的实验条件下(萃取温度75℃,NaCl质量浓度为200 g/L,萃取时间40 min,250℃下解吸2 min)结合GC/FID的方法测定了水样中萘、苊、芴、菲、蒽、荧蒽、芘7种多环芳烃(PAHs)化合物。7种PAHs的线性范围为1~1 000μg/L,检出限在0.29~2.09μg/L之间,相对标准偏差(RSD,n=5)不大于8.6%。将建立的方法用于实际样品花溪河水中PAHs加标回收率的测定,回收率在97.2%~109.0%之间,结果令人满意。在各自的最优萃取条件下,该涂层对7种PAHs的萃取效果与商品PDMS的萃取效果相当,证明该Q[7]/Eu多维配位聚合物在固相微萃取方面具有应用潜力。     

基于低共熔溶剂的整体式萃取头的制备及其对湖水中3种多环芳烃的固相微萃取（英文）

采用氯化胆碱-乙二醇低共熔溶剂(DES)作致孔剂,制备了聚(甲基丙烯酸丁酯-乙二醇二甲基丙烯酸酯)[poly(BMA-EDMA)]固相微萃取头,并与超高效液相色谱法(UPLC)结合测定了湖水中的3种多环芳烃(PAHs)。实验与不使用DES致孔剂的固相微萃取头和商品化聚二甲硅氧烷(PDMS)萃取头进行比较,含DES的poly(BMA-EDMA)固相微萃取头的富集效果最好。系统考察了萃取条件(萃取时间、萃取溶剂、解吸时间、解吸溶剂及离子强度)对水样中多环芳烃萃取效率的影响。在最优的实验条件下,3种多环芳烃类化合物(萘、联苯、菲)的线性范围为0.1~6.0 mg/L(r≥0.990 3),检出限为2.1~4.9μg/L,回收率为86.4%~111.3%,相对标准偏差(RSD,n=6)为11.2%~15.1%。该法操作简便,稳定性好,成本低,适用于实际环境水样中多环芳烃类化合物的测定。     

Characterization and identification of a "mystery" oil spill from Quebec (1999)

This paper describes a case study in which advanced chemical fingerprinting and data interpretation techniques were used to characterize the chemical compositions and determine the source of an unknown spilled oil from Quebec. On 28 February 1999, significant amounts of oil was reported on the river banks of St. Laurence River in front of a company named "Thermex" (in a town - Beauharnois, Quebec, about 50 km northwest of Montreal). The spilled oil was suspected to be released from a nearby factory. In response to this specific site investigation needs, a tiered analytical approach using GC-MS and GC-flame ionization detection was applied. A variety of diagnostic ratios of "source-specific marker" compounds, in particular isomers of biomarkers and alkylated series of polycyclic aromatic hydrocarbons within the same alkylation groups, were determined and analyzed. The hydrocarbon analysis results reveal the following: (1) the spilled oil is very "specific", and is significantly different from most crude oils in chemical composition; (2) the oil in samples come from the same source, however, the spill sample 2569 was identified to contain a small amount (approximately 10%) of diesel; (3) the spilled oil was relatively "fresh", its chemical composition has not undergone significant alteration yet; (4) the spilled oil showed unusually high concentration of the US Environmental Protection Agency priority polycyclic aromatic hydrocarbons (PAHs). The "Pyrogenic Index" values were determined to be as high as 0.11-0.13, significantly higher than crude oils (<0.010) and heavy Bunker type fuels (0.015-0.060). This indicates significant contribution of PAH composition from pyrogenic components; (5) biomarkers were also detected, but their concentrations were unusually low in comparison to most crude oils.     

Characteristics of bicyclic sesquiterpanes in crude oils and petroleum products

This study presents a quantitative gas chromatography–mass spectrometry analysis of bicyclic sesquiterpanes (BSs) in numerous crude oils and refined petroleum products including light and mid-range distillate fuels, residual fuels, and lubricating oils collected from various sources. Ten commonly recognized bicyclic sesquiterpanes were determined in all the studied crude oils and diesel range fuels with principal dominance of BS3 (C₁₅H₂₈), BS5 (C₁₅H₂₈) and BS10 (C₁₆H₃₀), while they were generally not detected or in trace in light fuel oils like gasoline and kerosene and most lubricating oils. Laboratory distillation of crude oils demonstrated that sesquiterpanes were highly enriched in the medium distillation fractions of ∼180 to 481 °C and were generally absent or very low in the light distillation fraction (boiling point to ∼180 °C) and the heavy residual fraction (>481 °C). The effect of evaporative weathering on a series of diagnostic ratios of sesquiterpanes, n-alkanes, and biomarkers was evaluated with two suites of weathered oil samples. The change of abundance of sesquiterpanes was used to determine the extent of weathering of artificially evaporated crude oils and diesel. In addition to the pentacyclic biomarker C₂₉ and C₃₀ αβ-hopane, C₁₅ and C₁₆ sesquiterpanes might be alternative internal marker compounds to provide a direct way to estimate the depletion of oils, particularly diesels, in oil spill investigations. These findings may offer potential applications for both oil identification and oil-source correlation in cases where the tri- to pentacyclic biomarkers are absent due to refining or environmental weathering of oils.     

Biodegradation Potential of Bacillus sp. PAH-2 on PAHs for Oil-Contaminated Seawater

Microbial degradation is a useful tool for inhibiting or preventing polycyclic aromatic hydrocarbons (PAHs) widely distributed in marine environment after oil spill accidents. This study aimed to evaluate the potential and diversity of bacteria Bacillus sp. PAH-2 on Benzo (a) anthracene (BaA), Pyrene (Pyr), and Benzo (a) pyrene (BaP), their composite system, aromatic components system, and crude oil. The seven-day degradation rates against BaA, Pyr, and BaP were 20.6%, 12.83%, and 17.49%, respectively. Further degradation study of aromatic components demonstrated PAH-2 had a high degradation rate of substances with poor stability of molecular structure. In addition, the degradation of PAHs in crude oil suggested PAH-2 not only made good use of PAHs in such a more complex structure of pollutants but the saturated hydrocarbons in the crude oil also showed a good application potential.     

费谢尔判别法鉴别原油/燃料油

以多环芳烃作为变量,建立了原油、燃料油属性鉴别的费谢尔判别法。分别测定了来自不同国家和地区的26个原油样品和25个燃料油样品中8种多环芳烃的含量,并将它们作为判别变量。借助SPSS 16.0进行费谢尔判别分析,建立费谢尔判别函数。将未知样品的判别变量值代入后,可以快速地得知样品的类别。结果表明,以多环芳烃作为判别变量进行原油、燃料油费谢尔判别快速而准确。     

Characterization and identification of the Detroit River mystery oil spill (2002)

In this paper, a case study of the Detroit River mystery oil spill (2002) is presented that demonstrates the utility of detailed and integrated oil fingerprinting in investigating unknown or suspected oil spills. The detailed diagnostic oil fingerprinting techniques include determination of hydrocarbon groups and semi-quantitative product screening, analysis of oil-characteristic biomarkers and the extended suite of parent and alkylated polycyclic aromatic hydrocarbons (PAHs), and quantitative determination of a variety of diagnostic ratios of "source-specific marker" compounds. The detailed chemical fingerprinting data and results highlight the followings: (1) The spill samples were largely composed of used lube oil mixed with smaller portion of diesel fuel. (2) The diesel in the samples had been weathered and degraded. (3) Sample 3 collected from N. Boblo Island on 14 April was more weathered (most probably caused by more evaporation and water-washing) than samples 1 and 2. (4) All fingerprinting results clearly demonstrated oils in three samples were the same, and they came from the same source. (5) Most PAH compounds were from the diesel portion in the spill samples, while the biomarker compounds were largely from the lube oil. (6) Input of pyrogenic PAHs to the spill samples was clearly demonstrated. The pyrogenic PAHs were most probably produced from combustion and motor lubrication processes, and the lube oil in these spill samples was waste lube oil.     

Comparing the weathering patterns of six oils using 3-way generalized Procrustes rotation and matrix-augmentation principal components

A case study is presented in which advanced chemical fingerprinting and data interpretation techniques are used to characterize and compare the weathering processes of six oil spillages made under controlled conditions (including the heavy oil released after the Prestige tanker sunk off the Galician coast-NW Spain on 2002). A tiered analytical approach using gas chromatography-flame ionization detection (GC-FID) and gas chromatography-mass spectrometry (GC-MS) was applied along with two different approaches for 3-way analyses; namely, generalized Procrustes rotation, and matrix-augmented principal components analysis. Results showed that the two 3-way chemometric techniques leaded to essentially the same conclusions when analyzing three sets of compounds fingerprinting the spilled hydrocarbons (aliphatic hydrocarbons, polycyclic aromatic hydrocarbons (PAHs) and a set of diagnostic ratios). A steady evolution on the weathering of the oils was observed with both techniques, but for the diagnostic ratios. The variables involved on the weathering were the lightest aliphatic hydrocarbons and a general combination of the PAHs, which differentiated mostly among the light and the heavy products (fuel oils).     

基于主成分和支持向量机浓度参量同步荧光光谱油种鉴别

基于浓度参量同步荧光光谱技术,对不同溢油类型不同油源原油样品集、引入外扰相似油源样品集进行光谱数据采集,获取其浓度同步荧光光谱矩阵Concentration-Synchronous-Matrix-Fluorescence(CSMF),利用主成分分析方法对两套不同层次的原油相关样品集进行了多类分类识别。结果表明:主成分载荷图可以很好地反映各个原油相关样品在油源上的相似程度,结合支持向量机可以实现不同溢油类型及不同油源原油的准确分类,对于引入风化和海水外扰相似油源溢油样品集,两类分类区分的结果远远高于多类分类识别的结果。通过详细的主成分分析讨论,为溢油油种鉴别提供了一种利用多类分类识别,逐步缩减嫌疑样本数量,最后通过两两分类实现溢油样品准确识别的新思路。     

Analysis of petroleum compositional similarity using multiway principal components analysis (MPCA) with comprehensive two-dimensional gas chromatographic data

The accurate establishment of oil similarity is a longstanding problem in petroleum geochemistry and a necessary component for resolving the architecture of an oil reservoir. Past limitations have included the excessive reliance on a relatively small number of biomarkers to characterize such complex fluids as crude oils. Here we use multiway principal components analysis (MPCA) on large numbers of specific chemical components resolved with comprehensive two-dimensional gas chromatography-flame ionization detection (GC×GC-FID) to determine the molecular relatedness of eight different maltene fractions of crude oils. MPCA works such that every compound eluting within the same first and second dimension retention time is quantitatively compared with what elutes at that same retention times within the other maltene fractions. Each maltene fraction and corresponding MPCA analysis contains upwards of 3500 quantified components. Reservoir analysis included crude oil sample pairs from around the world that were collected sequentially at depth within a single well, collected from multiple depths in the same well, and from different depths and different wells but thought to be intersected by the same permeable strata. Furthermore, three different regions of each GC×GC-FID chromatograms were analysed to evaluate the effectiveness of MPCA to resolve compositional changes related to the source of the oil generating sediments and its exposure to biological and/or physical weathering processes. Compositional and instrumental artefacts introduced during sampling and processing were also quantitatively evaluated. We demonstrate that MPCA can resolve multi-molecular differences between oil samples as well as provide insight into the overall molecular relatedness between various crude oils.     

Screening the origin and weathering of oil slicks by attenuated total reflectance mid-IR spectrometry

The combination of attenuated total reflectance-fourier transform mid-infrared spectrometry (ATR-FTMIR) and multivariate pattern recognition is presented as a fast and convenient methodology to ascertain the source product an oil slick comes from and to evaluate the extent of its weathering. Different types of hydrocarbons (including crude oils, several heavy distillates and the Prestige's heavy fuel oil) were spilled on metallic containers designed ad hoc and their fate monitored by ATR-FTMIR. Not only environmental conditions were considered for weathering but artificial IR- and UV-irradiation. Pattern-recognition studies revealed that the different hydrocarbons clustered at different locations on the score plots and that the samples corresponding to each oil became ordered according to the extent of their weathering. Among them, fuel oil samples coming from the recent disaster of the Prestige tanker off the Galician shoreline showed a distinctive behaviour. Comparison of natural-, IR- and UV-weathering of a crude oil showed that IR solar radiation can be important in oil-weathering, in addition to broadly-reported UV degradation.