喷气燃料中胶质化合物的质谱分析

喷气燃料中的不安定组分对燃料安定性影响很大,不安定组分主要集中在胶质化合物中,胶质化合物的存在会增加燃烧积炭,影响航空发动机的正常使用[1-2]。不安定组分含量极少,必须通过一定条件的分离和富集才能进行分析和评价。本文采用中性氧化铝吸附和极性溶剂脱附的方法分离制备     

高密度燃料HDF-1与橡胶的相容性研究

报道了在室温和70 ℃下橡胶材料G402氟硅胶、丁腈胶5171、丁腈胶4170、贮囊橡胶用合成的高密度燃料HDF-1浸泡后性能如伸长率、邵尔硬度、重量、面积体积的变化，并与采用3号喷气燃料（RP-3）实验结果进行对照。用红外光谱测定了燃料浸泡前后橡胶组成的变化。实验结果表明，G402氟硅胶和贮囊对于HDF-1和RP-3有相近的相容性，丁腈胶5171对HDF-1的相容性比对RP-3的相容性稍差，丁腈胶4170对HDF-1的相容性比对RP-3的相容性更差的结果。因此，丁腈胶5171和丁腈胶4170不能用于HDF-1储存和输送，原使用RP-3系统的橡胶密封件不能直接使用HDF-1。     

石油及生油岩抽提物中芳烃气相色谱分析

石油中的芳烃组分不仅含有苯、萘、菲、蒽、芘、苯并蒽、(艹屈)等物质,还含有短侧链的烷基萘、烷基菲系列化合物,也有少量的含硫、含氧芳烃化合物。W·Glger及W·W·Yongblood等论述了古代沉积和化石燃料中含有的上千种芳烃化合物。对这样复杂的混合物,采用高效毛细管柱——弹性石英毛细柱或玻璃毛细柱,选择适当的极性固定液,如:SE-54,SE-52,OV-101,SE-30等,配合色～质谱定性,有可能对石油中主要含量的芳烃进行定性、定量分析。本文讨论了使用OV-101玻璃毛细管柱分析芳烃的色谱条件,典型的芳烃样品经过色质联用,配合芳烃标样及文献保留值等方法定性,约测出40个芳化物。     

RP-3航空煤油替代燃料及其化学反应动力学模型

本文提出了40%(摩尔分数, 下同)正癸烷、42%正十二烷、13%乙基环己烷和5%对二甲苯的四组分RP-3 航空煤油替代燃料模型, 并通过实验充分验证了替代燃料模型与实际RP-3 航空煤油在理化特性上的相似性. 采用对冲火焰实验台架, 测量了RP-3航空煤油以及四组分替代燃料的层流火焰传播速度. 对比结果表明本文提出的替代燃料能够准确描述实际RP-3航空煤油的燃烧速率. 进一步发展了包含168组分、1089反应的半详细反应动力学模型, 验证结果表明本文机理能够准确预测RP-3航空煤油着火延迟时间和火焰传播速度.     

减黏裂化产物的长期储存稳定性

利用不同储存条件下,减黏产物运动黏度、酸值、质量损失、胶质和沥青质含量的变化,研究了委内瑞拉奥里常渣减黏产物长期储存稳定性的影响因素。结果表明,氧化缩聚、轻组分挥发和无氧缩聚作用影响减黏产物的长期储存稳定性,其中氧化缩聚作用最显著。热反应结束后,减黏产物中自由基并没有完全进行链终止反应,室温下自由基继续发生反应,减黏产物的稳定性与其中所含的自由基密切相关。不同储存条件下产物的沥青质和胶质的芳碳率均略低于减黏产物,沥青质间并没有发生缩聚,不易产生分层现象,减黏产物较稳定。     

钌离子催化氧化法研究大港减压渣油组分化学结构

利用钌离子催化氧化方法对大港减压渣油芳香分、胶质和庚烷沥青质进行了选择性降解，通过GC、GC-MS等分析手段对降解反应产物中一元正构脂肪酸、α,ω-二元正构脂肪酸和苯二～六元羧酸的含量和分布分别进行了定量分析。结果表明，芳香分、胶质和庚烷沥青质中的芳香结构上都存在大量烷基取代基和桥接不同芳碳的聚亚甲基桥。烷基取代基碳数最大约为33，聚亚甲基桥最大碳数约为24，而且这两种结构单元的含量均随碳数的增加而减少，并呈现出了偶碳优势。庚烷沥青质C12以下侧链相对较多而C16＋较少，与芳香分的分布相反；正构烷基侧链的浓度按庚烷沥青质、胶质和芳香分的顺序递减。降解产物中都检测到了苯二甲酸到苯六甲酸等一系列的苯多酸，表明三个组分中都存在稠环芳香结构。庚烷沥青质中缩合程度较高的迫位缩合结构含量最高，芳香分渺位缩合结构最多，胶质介于两者之间。     

载铜介孔碳CMK-3的制备及其对苯酚的吸附-催化氧化性能

通过一种简易的方法在介孔碳CMK-3的孔道内负载氧化铜粒子制备Cu/CMK-3复合物,利用粉末X射线衍射、氮气吸附-脱附、透射电镜等手段对其进行表征.结果表明,氧化铜均匀地分散在CMK-3孔道中,CMK-3在负载氧化铜后仍有较大的比表面积.考察了载铜CMK-3对水中苯酚的吸附和低温干法催化氧化苯酚性能.吸附和循环使用结果表明,Cu/CMK-3对水中苯酚具有较大的吸附量和良好的催化氧化效率.热重-质谱(TG-MS)联用测试结果表明,吸附的苯酚在180℃左右开始被催化氧化为CO2和水,此时不会造成苯酚的脱附和介孔碳CMK-3的烧蚀.     

吸附有苯酚氧化残留物的Cu-Ce/AC吸附 催化剂的氢处理研究

对经苯酚吸附和干态催化氧化过程后吸附有苯酚残留物的活性炭载氧化铜和氧化铈(Cu Ce/AC)进行了氢处理研究。结果表明,氢处理可明显促进残留物的分解,恢复Cu Ce/AC对苯酚的吸附性能,减少在后续苯酚氧化过程中苯酚脱附量。氢处理温度越高,苯酚吸附容量恢复得越好。但氢处理不能恢复Cu Ce/AC对苯酚的催化氧化活性,是由于活性组分晶粒长大所致。     

生物油储存稳定性实验研究

对松木和玉米芯快速热解制取的生物油进行储存稳定性实验,经过储存老化后的生物油黏度增大,水分含量和固体颗粒物含量增加,pH值、热值、密度无明显变化。通过GC-MS对储存前后生物油中主要组分进行定量分析表明,生物油经过储存后,羟基丙酮、乙酸、糠醛等主要组分的含量明显下降,而2-甲氧基苯酚、4-甲基-2-甲氧基-苯酚、4-甲基-苯酚的含量有所上升。核磁共振的碳谱分析表明,经过储存后生物油中甲氧基碳和双氧-烷基碳的含量降低,而芳基碳和不饱和碳的含量增大,生物油的芳香度有所提高。     

喷气燃料中悬浮物有机成分的气相色谱/质谱分析

本文研究了喷气燃料中悬浮物有机成分的分离和定性分析。先通过孔径0.025μm的微孔滤膜过滤分离出喷气燃料中的悬浮物,依次用正己烷和二氯甲烷提取悬浮物中的有机成分,再利用气相色谱/质谱联用技术对悬浮物的正己烷相溶液和二氯甲烷相溶液进行定性分析,共检测出了2,6-二叔丁基对甲酚、1,2-二氧芑-3-乙酸,6-十六烷基-3,6-二氢-6-甲氧基-甲基酯、5-甲基-5H-苯并[23-c]咔唑等47种成分,为研究悬浮物的形成机理提供了实验依据。     

民用航空煤油的化学组分分析

采用气相色谱-质谱联用法检测民用航空煤油溶液和蒸汽的化学组分,通过检索NIST 17.L标准谱库和比对标准物质的保留时间定性,使用峰面积归一化法确定各组分的相对含量并分析其健康效应。结果表明,民用航空煤油溶液和蒸汽中的化学组分有差异,溶液中的碳数分布为C₇-C₁₅,主要包括烷烃,环烷烃,芳香烃,含氧、含氮化合物,会引起皮肤刺激。而民用航空煤油蒸汽中的碳数分布为C₅-C₁₃,主要包括烷烃,环烷烃,芳香烃,含氧、含氮、含硫化合物,烯烃和苯并杂环化合物,可通过皮肤和呼吸道引起皮炎和呼吸系统刺激,甚至引起中枢神经系统抑制。该研究为民用航空煤油暴露工作场所职业卫生标准的制订提供科学依据,有利于保护职业接触人群的身体健康。     

Determination of sulphur in fuel oils by absorption spectrometry of electrothermally generated carbon sulphide molecules

Molecular absorption spectra of CS are observed during the vaporization of crude and fuel oils in an electrothermal atomizer. The CS absorbance at 257.6 nm is used to determine the sulphur content of the oil, based on measurements in a conventional electrothermal atomic absorption spectrometer. The results for various fuel oils generally agree with those obtained by x-ray fluorescence spectrometry (ASTM D2622). The detection limit referred to the undiluted oil is 50 mg kg^?1, and the repeatability is 3% at the 250 mg kg^?1 level. Some oils exhibit uneven vaporization of sulphur species.     

Theoretical design and preparation of high thermal-stable jet fuel

A high thermal-stable jet fuel design method was developed using composition-properties relations and basic specification properties of jet fuel. Tannery diagrams were provided to visualize relationships among three main components (n-paraffins, iso-paraffins, cycloparaffins, or aromatics) with four major specification properties (density, flash point, freezing point, net heat of combustion) and thermal sta- bility. An optimum chemical composition was established to meet performance requirements: n-paraffins 25%-45%, iso-paraffins 15%-30%, cycloparaffins 30%-50%, and aromatics 5%. The thermal stability test on four fuel samples with and without optimal composition indicated that the thermal stabilities of fuel samples with optimal composition are higher than RP-3 jet fuel, and that the theoretical design method is a reliable method to screen the basic oil for the high thermal-stable jet fuel.     

Adulteration of diesel/biodiesel blends by vegetable oil as determined by Fourier transform (FT) near infrared spectrometry and FT-Raman spectroscopy

In this work it has been shown that the routine ASTM methods (ASTM 4052, ASTM D 445, ASTM D 4737, ASTM D 93, and ASTM D 86) recommended by the ANP (the Brazilian National Agency for Petroleum, Natural Gas and Biofuels) to determine the quality of diesel/biodiesel blends are not suitable to prevent the adulteration of B2 or B5 blends with vegetable oils. Considering the previous and actual problems with fuel adulterations in Brazil, we have investigated the application of vibrational spectroscopy (Fourier transform (FT) near infrared spectrometry and FT-Raman) to identify adulterations of B2 and B5 blends with vegetable oils. Partial least square regression (PLS), principal component regression (PCR), and artificial neural network (ANN) calibration models were designed and their relative performances were evaluated by external validation using the F-test. The PCR, PLS, and ANN calibration models based on the Fourier transform (FT) near infrared spectrometry and FT-Raman spectroscopy were designed using 120 samples. Other 62 samples were used in the validation and external validation, for a total of 182 samples. The results have shown that among the designed calibration models, the ANN/FT-Raman presented the best accuracy (0.028%, w/w) for samples used in the external validation.     

Quantification of naphthalenes in jet fuel with GC x GC/Tri-PLS and windowed rank minimization retention time alignment

Comprehensive, two-dimensional gas chromatography (GC x GC) is used in conjunction with trilinear partial least squares (Tri-PLS) to quantify the percent weight of naphthalenes (two-ring aromatic compounds) in jet fuel samples. The increased peak capacity and selectivity of GC x GC makes the technique attractive for the rapid, and possibly less tedious analysis of jet fuel. The analysis of complex mixtures by GC x GC is further enhanced through the use of chemometric techniques, including those designed for use on 2-D data such as Tri-PLS. Unfortunately, retention time variation, unless corrected, can be an impediment to chemometric analysis. Previous work has demonstrated that the effects of retention time variation can be mitigated in sub-regions of GC x GC chromatograms through the application of an objective retention time alignment algorithm based on rank minimization. Building upon this previous work, it is demonstrated here that the effects of retention time variation can be mitigated throughout an entire GC x GC chromatogram with an objective retention time alignment algorithm based on windowed rank minimization alignment. A significant decrease in calibration error is observed when the algorithm is applied to chromatograms prior to construction of Tri-PLS models. Fourteen jet fuel samples with known weight percentages of naphthalenes (ASTM D1840) were obtained. Each sample was subjected to five replicate five-minute GC x GC separations over a period of two days. A subset of nine samples spanning the range of weight percentages of naphthalenes was chosen as a calibration set and Tri-PLS calibration models were subsequently developed in order to predict the naphthalene content of the samples from the GC x GC chromatograms of the remaining five samples. Calibration models constructed from GC x GC chromatograms that were retention time corrected are shown to exhibit a root mean square error of prediction of roughly half that of calibration models constructed from uncorrected chromatograms. The error of prediction is lowered further to a value that nearly matches the uncertainty in the standard percent weight values (ca. 1% of the median percent volume value) when the aligned chromatograms are truncated to include only regions of the chromatogram populated by naphthalenes and compounds of similar polarity and boiling point.     

Analysis of volatile organic compounds in fuel oil by headspace GC-MS

Fuel oils are mostly used in marine applications and in power plants. They are known to contain hazardous volatile organic compounds (VOCs) that are of health and environmental importance. Chlorinated compounds, phenolic compounds, styrenes, indene, dicyclopentadiene, dihydrodicyclopentadiene, cumene, benzene, toluene, ethylbenzene and xylenes are some of the VOCs that have found their way into fuel oil through various streams during bunkering operation. Chromatographic analysis of VOCs in the presence of complex matrices in fuel oil is one of the major challenges encountered when dealing with products of that nature. An analytical procedure using automated static headspace gas chromatography–mass spectrometry was developed for the analysis of these compounds in fuel oil. Styrene D8 and phenol D6 were used as internal standards for quantitation. Phenol D6 was used for the quantitation of phenolic compounds, while styrene D8 was used for the quantitation of other target analytes. The influence of headspace parameters on analyte response such as temperature, incubation time and sample amount were all investigated and optimised. Linear calibration curves were achieved for all components with determination coefficients R² > 0.995. Repeatability, limit of detection, limit of quantitation and recovery were reported. The matrix effect in fuel oil was minimised by 1:1 dilution with mineral oil. This method was successfully applied to the analysis of commercial samples.     

Comprehensive two-dimensional gas chromatography analysis of high-ethanol containing motor fuels

A comprehensive 2-D GC (GC x GC) instrument equipped with a flow-switching modulator was used to determine the concentration of ethanol and eight other alcohols in a retail pump sample of E85 fuel. E85 is a mixture of ethanol and gasoline where the ethanol concentration can range from 70 to 85 vol%. The increased peak capacity and selectivity generated by GC x GC analysis allowed the alcohols to be fully resolved from the gasoline hydrocarbons. GC x GC analysis was compared to the performance obtained with the standard analytical method for determining ethanol in fuel ethanol (ASTM D5501) and the standard method for determining oxygenate concentrations in gasoline (ASTM D4815). The GC x GC analysis required 14 min while the combined ASTM D5501 and ASTM D4815 analyses required more than 60 min. The ethanol concentration obtained by GC x GC was in excellent agreement with the value obtained by the D5501 method. Poorer agreement was observed between the GC x GC and D4815 concentrations for the other alcohols present in E85. In all cases, the differences could be attributed to deficiencies in the D4815 method that led to coelutions between the alcohols and gasoline hydrocarbons.     

全二维气相色谱/飞行时间质谱用于柴油组成的研究

将全二维气相色谱法(GC×GC)用于柴油馏分的组成分布研究,建立了两种GC×GC方法,一种用于柴油组成的详细表征,另一种用于柴油族组成的快速分离和定量,两种方法均不需要样品预处理。用前一种方法对柴油馏分中的烃类化合物、主要的含硫化合物与含氮化合物组成进行了研究;对催化裂解柴油中的27种含氮化合物和42种含硫化合物进行了定性;用后一种方法在70 min内即可完成柴油馏分族组成的定量分析,应用所建立的方法测定了4个不同来源的柴油馏分中非芳烃、一环芳烃、二环芳烃、三环芳烃的含量,定量结果与ASTM D2425法