催化裂化汽油中类型硫含量分布

利用催化裂化汽油中各类硫化物的系统分析方法,对催化裂化(FCC)汽油和重油催化裂化(RFCC)汽油中各类型硫进行了分析测定,碱洗后FCC汽油和RFCC汽油中类型硫的布规律为:硫醇硫和二硫化物硫的含量较少,硫醚硫含量中等,而噻吩类硫的含量最多,占总硫含量的60%以上.     

重油催化裂化汽油中含硫化合物的分析

 采用气相法 ,分别利用火焰光度检测器 (FPD)和原子发射检测器 (AED)对中国石化北京燕山石油化工公司 (简称燕化 )炼油厂和石家庄炼油厂生产的重油催化裂化 (RFCC)汽油中的硫化物进行了分析。燕化炼油厂RFCC汽油中总硫只有 2 9 5mg/L ,采用FPD无法检测 ;石家庄炼油厂的RFCC汽油中总硫为 72 0 1mg/L。用标样和气相 质谱法 (GC MS)定性 ,FPD分离检测出 19种硫化物 ,主要是硫醇、噻吩类硫化物 ,硫醚类硫化物和二硫化物均未检出。用AED鉴定出燕化炼油厂RFCC汽油中的硫化物 12种 ,主要是噻吩和四氢噻吩类、低碳硫醇和二硫化物。     

用XPS研究兖州煤各显微组分中有机硫存在形态

应用ＸＰＳ（Ｘ射线光电子能谱）法研究了兖州煤显微组有机硫的存在形态。按密度不同分离出的兖州煤中各显微且分内的有机硫存在形态是有差异的。据ＸＰＳ分析，稳定组中含有大量的硫砜、硫醚含硫化合物，噻吩型硫闪之；镜质组中硫、硫醚与脂肪族硫化物含量相当；惰性组中噻吩型硫与硫醚和硫醇型硫各占有机硫的一半。噻吩型硫在充州煤各显微组分中，随密度增加。含量有所减少，硫醚、硫醇及二硫化物的含量也有类似的趋势。这些结果将     

有机硫化物的等离子体液相氧化脱硫

有机硫化物的等离子体液相氧化脱硫刘万楹＊雷正兰吕伟王晋昆（中国科学院成都有机化学研究所成都６１００４１）关键词等离子体，氧化脱硫，液相，硫醇，硫醚，噻吩１９９６－１２－１７收稿，１９９７－０７－０３修回国家自然科学基金资助课题原油中以硫醇、硫醚和噻吩...     

催化裂化汽油中硫化物类型分布的气相色谱-硫化学发光检测的方法研究

采用气相色谱-硫化学发光检测器(GC-SCD),建立了催化裂化汽油(FCC汽油)中各种硫化物类型分布的分析方法。考察了色谱条件对催化裂化汽油中各种硫化物分离的影响,定性了某催化裂化汽油中的58个硫化物。采用该方法,硫化物中的硫在其质量浓度为0.5~800.0 mg/L时,其峰面积与质量浓度呈较好的线性关系,相关系数达0.999,其响应与硫化物的类型无关。FCC汽油中几种主要硫化物(噻吩、正丁硫醇、2-甲基噻吩、3-甲基噻吩、2,4-二甲基噻吩)的浓度测定值的相对标准偏差(RSD)均小于5.0%。当信噪     

TS-1/过氧化氢催化体系中有机硫化物的选择氧化

 研究了TS-1/过氧化氢催化体系中几种典型有机硫化物的选择氧化脱除. 结果表明,噻吩和2-甲基噻吩仅在水或叔丁醇溶剂中才能被有效氧化脱除,且两者的反应历程不同. 噻吩分子中的硫原子先被氧化,2-甲基噻吩分子中的噻吩环先被氧化. 当过氧化氢与硫化物摩尔比为4时,噻吩和2-甲基噻吩均可被氧化为硫酸. 采用甲醇、乙腈和水作溶剂时,甲基硫醚和丁基硫醇均可被选择氧化脱除. 由于存在空间位阻,苯并噻吩、二苯并噻吩及4,6-二甲基二苯并噻吩在TS-1/过氧化氢体系中均不能被有效脱除.     

焦化汽油中硫化物类型分布的气相色谱-硫化学发光检测方法

建立了焦化汽油中硫化物类型分布的气相色谱-硫化学发光检测分析方法。考察了色谱条件对焦化汽油中各种硫化物分离的影响,定性了某焦化汽油中的74个硫化物。以硫化氢、乙硫醇、正丙硫醇、噻吩、2-甲基噻吩、2-乙基噻吩、2-丙基噻吩、碳四噻吩(tR=40.28 min)、苯并噻吩、甲基苯并噻吩(tR=58.13 min)的保留时间为尺度,计算了焦化汽油中各种硫化物的保留指数,并可推广到其他类型的汽油馏分中各种硫化物保留指数的计算,为仅能提供硫化物信息的仪器提供了可靠的定性依据。焦化汽油中几种主要硫化物(异丙硫醇、正丙硫醇、正丁硫醇、2-甲基噻吩、3-甲基噻吩、2,4-二甲基噻吩、2,3,4-三甲基噻吩)含量测定值的相对标准偏差均小于5%。当信噪比为3时,测得硫的检测限为0.05 mg/L。研究发现:同其他类型的汽油相比,焦化汽油的硫含量较高且所含硫醇比例明显偏高,2-甲基噻吩和3-甲基噻吩的含量差别较大。该法可为加氢脱硫催化剂和工艺的研究提供数据。     

水介质对有机硫化物形成影响的模拟实验

利用高压釜反应装置在高温高压下开展了汽油-硫酸镁化学还原反应含水和无水体系的模拟实验,通过气相色谱仪、微库仑仪、毛细管气相色谱/脉冲火焰光度检测器、红外光谱仪及X射线衍射仪对气、油、固三相产物分别进行了分析并对动力学进行了解析,表明主要生成氧化镁、硫、焦炭、硫化氢、二氧化碳以及硫醇、硫醚和噻吩类等有机硫化物;随反应温度升高,反应体系中无机硫转化为有机硫的趋势增强,并主要生成热稳定性高的噻吩硫。 动力学解析表明,含水和无水条件硫酸镁转化反应的活化能分别为68.9和78.5 kJ/mol,证明水存在有利于无机硫向有机硫转化。     

渣油超临界萃取馏分中硫化物的分离富集研究

采用选择性氧化与色谱结合的方法分离渣油中的硫醚硫化物和噻吩硫化物,该法是基于不同类型硫的选择性氧化、氧化组分与未氧化组分间极性的差异实现的。首先用高碘酸四丁铵在不氧化噻吩硫的情况下将硫醚硫选择性氧化为高极性的亚砜,经色谱柱分离富集后,利用红外色谱和硫元素分析仪,研究了馏分中硫化物的类型分布。结果表明,在俄罗斯渣油中噻吩硫和硫醚硫的质量分数随组分变重均呈增长趋势,噻吩硫相对质量分数(指硫醚硫+噻吩硫)随馏分变重呈下降趋势,相对质量分数在70%以上,噻吩硫是俄罗斯渣油中硫的主要存在形态。     

改性Y型分子筛对FCC汽油脱硫性能的研究

采用液相离子交换法制备了Cu(I)Y、NiY、CeY分子筛,利用XRD、ICP/MS、N₂吸附脱附等技术对其物化性质进行了表征,使用固定床技术和色谱-硫化学发光检测(SCD)偶联技术系统考查了改性Y分子筛对FCC汽油的选择性吸附脱硫性能,着重探讨了FCC汽油选择性吸附脱硫过程中硫化物的脱除规律。结果表明,不同金属阳离子改性的Y分子筛对FCC汽油中不同硫化物选择性有所不同,对CeY分子筛:2-甲基-5-乙基噻吩<噻吩3硫醇< C₂噻吩<2或3-甲基噻吩<苯并噻吩<3,4-二甲基噻吩≈2,3,4-三甲基噻吩<四氢噻吩,而NiY与Cu(I)Y选择性相同:C₃硫醇<2-甲基-5-乙基噻吩2噻吩<2或3-甲基噻吩<噻吩<苯并噻吩<3,4-二甲基噻吩≈2,3,4-三甲基噻吩<四氢噻吩,改性Y分子筛对噻吩及小分子烷基取代噻吩类硫化物的选择性较差。     

Ultrafast gas chromatography method with direct injection for the quantitative determination of benzene,toluene, ethylbenzene,and xylenes in commercial gasoline

Benzene, toluene, ethylbenzene, and xylenes are some of the most hazardous constituents found in commercial gasoline samples; therefore, these components must be monitored to avoid toxicological problems. We propose a new routine method of ultrafast gas chromatography coupled to flame ionization detection for the direct determination of benzene, toluene, ethylbenzene, and xylenes in commercial gasoline. This method is based on external standard calibration to quantify each compound, including the validation step of the study of linearity, detection and quantification limits, precision, and accuracy. The time of analysis was less than 3.2 min, with quantitative statements regarding the separation and quantification of all compounds in commercial gasoline samples. Ultrafast gas chromatography is a promising alternative method to official analytical techniques. Government laboratories could consider using this method for quality control.     

Column switching-back flushing technique for the analysis of aromatic compounds in gasoline

A simple method, based on the technique of capillary column switching-back flushing, has been developed for the detailed analysis of aromatic compounds in gasoline. The sample was first separated on a 30-m long OV-2330 polar precolumn and then backflushed onto a nonpolar analytical column. The early eluting components from the precolumn and the components of interest (aromatic compounds plus heavier compounds) eluting from the analytical column are all directed to the same flame ionization detection system through a T piece, which permits the quantitative analysis of aromatic hydrocarbons in gasoline by a normalization method using correcting factors. The switching time window of the method is +/-5 s, resulting in easier operation and higher reliability. The reproducibility of the quantitative analysis was < or = 3% RSD for real gasoline samples.     

Determination of Cu, Mn, Ni and Sn in gasoline by electrothermal vaporization inductively coupled plasma mass spectrometry, and emulsion sample introduction

Trace metals in fuels, except in the case of additives, are usually undesirable and normally they occur in very low concentrations in gasoline, requiring sensitive techniques for their determination. Coupling of electrothermal vaporization with inductively coupled plasma mass spectrometry minimizes the problems related to the introduction of organic solvents into the plasma. Furthermore, sample preparation as oil-in-water emulsions reduces problems related to gasoline analysis. In this work, a method for determination of Cu, Mn, Ni and Sn in gasoline is proposed. Samples were prepared by forming a 10-fold diluted emulsion with a surfactant (Triton X-100), after treatment with concentrated HNO₃. The sample emulsion was pre-concentrated in the graphite tube by repeated pipetting and drying. External calibration was used with aqueous standards in a purified gasoline emulsion. Six samples from different gas stations were analyzed, and the analyte concentrations were found to be in the μg l⁻¹ range or below. The limits of detection were 0.22, 0.02, 0.38 and 0.03 μg l⁻¹ for Cu, Mn, Ni and Sn, respectively. The accuracy of the method was estimated using a recovery test.     

Identification of gasoline adulteration using comprehensive two-dimensional gas chromatography combined to multivariate data processing

A method to detect potential adulteration of commercial gasoline (Type C gasoline, available in Brazil and containing 25% (v/v) ethanol) is presented here. Comprehensive two-dimensional gas chromatography with flame ionization detection (GCxGC-FID) data and multivariate calibration (multi-way partial least squares regression, N-PLS) were combined to obtain regression models correlating the concentration of gasoline on samples from chromatographic data. Blends of gasoline and white spirit, kerosene and paint thinner (adopted as model adulterants) were used for calibration; the regression models were evaluated using samples of Type C gasoline spiked with these solvents, as well as with ethanol. The method was also checked with real samples collected from gas stations and analyzed using the official method. The root mean square error of prediction (RMSEP) for gasoline concentrations on test samples calculated using the regression model ranged from 3.3% (v/v) to 8.2% (v/v), depending on the composition of the blends; in addition, the results for the real samples agree with the official method. These observations suggest that GCxGC-FID and N-PLS can be an alternative for routine monitoring of fuel adulteration, as well as to solve several other similar analytical problems where mixtures should be detected and quantified as single species in complex samples.     

Determination of Cu,Co and Pb in gasoline by electrothermal atomic absorption spectrometry using aqueous standard addition in gasoline–ethanol–water three-component system

Single phase gasoline–ethanol–water mixture was prepared for performing standardization with aqueous standards and for the elimination of difficulties with pipetting of gasoline. Standard addition calibration method was applied to the determination of Cu, Pb and Co in gasoline by electrothermal atomic absorption spectrometry. Good agreements were found for the analysis results of the present “direct” method compared with those obtained by digesting gasoline in microwave furnace with nitric acid. The limit of detection values were 1.5 μg kg⁻¹ Co, 2.5 μg kg⁻¹ Cu and 4.0 μg kg⁻¹ Pb in original gasoline samples.     

汽油样品类型的模式识别研究与应用

研究了应用化学计量学方法解决汽油单体烃的气相色谱分析中单体烃定性库的自动选择问题。通过提取汽油单体烃谱图中的29个组分及其含量信息作为特征值,利用主成分分析法对不同工艺得到的催化裂化汽油、焦化汽油、直馏汽油、重整汽油和烷基化汽油进行分类,结合相似分析方法(即SIMCA方法)建立了各类汽油样本的类模型,借助这些类模型可以实现对未知样本的类型判别。所提出的识别方法可方便快速地判别待分析样品所属的汽油类别,并据此推荐适合该样品的定性模型库,从而实现汽油单体烃的快速、自动分析。     

Method for determination of methyl tert-butyl ether in gasoline by gas chromatography

A simple method for the determination of methyl tert-butyl ether (MTBE) in gasoline has been developed. The separation of MTBE from other analytes was controlled by the use of gas chromatography–mass spectrometry in the full scan mode using the characteristic primary, secondary and tertiary ions m/z 73, 57 and 43. The sample mass spectrum did not show any superimposition of other analytes. The separation from the common gasoline component 2-methylpentane was sufficient for reliable quantitation. An application of the developed conditions using gas chromatography with flame ionization detection was performed by the analysis of regular, euro super, super premium unleaded and ‘Optimax’ gasoline from petrol stations in the area of Frankfurt/Main, Germany. Regular unleaded gasoline shows an average MTBE content of 0.4% (w/w), whereas the MTBE content in euro super gasoline varies between 0.4 and 4.2% (w/w). The blending of MTBE to super premium has increased from 8.2% (w/w) in 1998 to 9.8% (w/w) on average in 1999. The recently introduced gasoline ‘Optimax’ shows an average MTBE content of 11.9% (w/w). The presented method might also be used for the analysis of other ethers, such as ethyl tert-butyl ether, which requires the use of another internal standard.     

Quality assessment of gasoline using comprehensive two‐dimensional gas chromatography combined with unfolded partial least squares: A reliable approach for the detection of gasoline adulteration

Comprehensive two‐dimensional gas chromatography and flame ionization detection combined with unfolded‐partial least squares is proposed as a simple, fast and reliable method to assess the quality of gasoline and to detect its potential adulterants. The data for the calibration set are first baseline corrected using a two‐dimensional asymmetric least squares algorithm. The number of significant partial least squares components to build the model is determined using the minimum value of root‐mean square error of leave‐one out cross validation, which was 4. In this regard, blends of gasoline with kerosene, white spirit and paint thinner as frequently used adulterants are used to make calibration samples. Appropriate statistical parameters of regression coefficient of 0.996–0.998, root‐mean square error of prediction of 0.005–0.010 and relative error of prediction of 1.54–3.82% for the calibration set show the reliability of the developed method. In addition, the developed method is externally validated with three samples in validation set (with a relative error of prediction below 10.0%). Finally, to test the applicability of the proposed strategy for the analysis of real samples, five real gasoline samples collected from gas stations are used for this purpose and the gasoline proportions were in range of 70–85%. Also, the relative standard deviations were below 8.5% for different samples in the prediction set.     

Method for determination of methyl tert-butyl ether in gasoline by gas chromatography

A simple method for the determination of methyl tert-butyl ether (MTBE) in gasoline has been developed. The separation of MTBE from other analytes was controlled by the use of gas chromatography–mass spectrometry in the full scan mode using the characteristic primary, secondary and tertiary ions m/z 73, 57 and 43. The sample mass spectrum did not show any superimposition of other analytes. The separation from the common gasoline component 2-methylpentane was sufficient for reliable quantitation. An application of the developed conditions using gas chromatography with flame ionization detection was performed by the analysis of regular, euro super, super premium unleaded and ‘Optimax’ gasoline from petrol stations in the area of Frankfurt/Main, Germany. Regular unleaded gasoline shows an average MTBE content of 0.4% (w/w), whereas the MTBE content in euro super gasoline varies between 0.4 and 4.2% (w/w). The blending of MTBE to super premium has increased from 8.2% (w/w) in 1998 to 9.8% (w/w) on average in 1999. The recently introduced gasoline ‘Optimax’ shows an average MTBE content of 11.9% (w/w). The presented method might also be used for the analysis of other ethers, such as ethyl tert-butyl ether, which requires the use of another internal standard.     

Screening Brazilian C gasoline quality: application of the SIMCA chemometric method to gas chromatographic data

A total of 2400 samples of commercial Brazilian C gasoline were collected over a 6-month period from different gas stations in the S?o Paulo state, Brazil, and analysed with respect to 12 physicochemical parameters according to regulation 309 of the Brazilian Government Petroleum, Natural Gas and Biofuels Agency (ANP). The percentages (v/v) of hydrocarbons (olefins, aromatics and saturated) were also determined. Hierarchical cluster analysis (HCA) was employed to select 150 representative samples that exhibited least similarity on the basis of their physicochemical parameters and hydrocarbon compositions. The chromatographic profiles of the selected samples were measured by gas chromatography with flame ionisation detection and analysed using soft independent modelling of class analogy (SIMCA) method in order to create a classification scheme to identify conform gasolines according to ANP 309 regulation. Following the optimisation of the SIMCA algorithm, it was possible to classify correctly 96% of the commercial gasoline samples present in the training set of 100. In order to check the quality of the model, an external group of 50 gasoline samples (the prediction set) were analysed and the developed SIMCA model classified 94% of these correctly. The developed chemometric method is recommended for screening commercial gasoline quality and detection of potential adulteration.