用傅里叶变换红外光谱测定汽油有关性质

用傅里叶变换红外光谱仪（FTIR）,在1550－660cm^-1波数范围内,采用化学计量学的偏最小二乘法（PLS）,测定汽油的辛烷值（RON）、密度、馏程（50％、90％）、芳烃、烯烃等质量性质。 试验结果表明,实验室标准方法测定的真值和红外光谱预测值的相关性好,检验结果符合国家标准方法的再现性要求。     

温度和剂油比对汽油催化裂化脱硫的影响

Increasingly stringent regulations on environmental protection make gasoline desulfurization be a major concern for the present refineries. Accordingly, we proposed an original idea of sulfur reduction by catalytic cracking of FCC gasoline and simultaneously converting most sulfur of sulfides to H 2S. Some progress has been made in exploitation of the catalysts. In this paper, the effect of temperature and catalyst/oil ratio on the FCC gasoline desulfurization over two catalyst samples via catalytic cracking was discussed. The optimum temperature range is 400～420 ℃ for sulfur removal with relatively low cracking loss of gasoline. The highest sulfur removal percentage of 70% can be achieved with a liquid yield of more than 96%. The catalyst samples have higher desulfurization activity and selectivity for the sulfide cracking. In addition, both the gasoline yield and the sulfur content of the desulfurized gasoline decrease with the catalyst/oil ratio.     

近红外光谱法测定汽油中的烯烃含量

近红外光谱法测定汽油中的烯烃含量;汽油;烯烃;近红外光谱;偏最小二乘回归     

Probing the sulfur content in gasoline quantitatively with terahertz time-domain spectroscopy

Terahertz time-domain spectroscopy(THz-TDS)was used for the quantitative detection of sulfur content in gasoline.Models of chemo metrics methods and partial least squares(PLS)were built to measure THz-TDS and the sulfur content.All of the samples were divided into two parts.One part was used for calibration and the other one for validation.In order to evaluate the quality of the models,the correlation coefficient(R)and root-mean-square errors(RMSE)of calibration and validation models were calculated.The value of R and RMSE were close to 1 and 0 within acceptable levels,respectively,indicating that the combination of THz-TDS and PLS is a potential method for further quantitative detection.     

Screening Brazilian commercial gasoline quality by hydrogen nuclear magnetic resonance spectroscopic fingerprintings and pattern-recognition multivariate chemometric analysis

The identification of gasoline adulteration by organic solvents is not an easy task, because compounds that constitute the solvents are already in gasoline composition. In this work, the combination of Hydrogen Nuclear Magnetic Resonance (¹H NMR) spectroscopic fingerprintings with pattern-recognition multivariate Soft Independent Modeling of Class Analogy (SIMCA) chemometric analysis provides an original and alternative approach to screening Brazilian commercial gasoline quality in a Monitoring Program for Quality Control of Automotive Fuels. SIMCA was performed on spectroscopic fingerprints to classify the quality of representative commercial gasoline samples selected by Hierarchical Cluster Analysis (HCA) and collected over a 6-month period from different gas stations in the São Paulo state, Brazil. Following optimized the ¹H NMR-SIMCA algorithm, it was possible to correctly classify 92.0% of commercial gasoline samples, which is considered acceptable. The chemometric method is recommended for routine applications in Quality-Control Monitoring Programs, since its measurements are fast and can be easily automated. Also, police laboratories could employ this method for rapid screening analysis to discourage adulteration practices.     

Rapid detection of gasoline by a portable Raman spectrometer and chemometrics

Identification of the gasoline purity is important for quality control and detection of gasoline adulteration. Principal component analysis and Raman spectroscopy were used to authenticate gasoline adulterated with methyl tert‐butyl ether (MTBE) and benzene. Gasoline could be clearly distinguished from gasoline adulterated with MTBE and benzene by a plot of the first principal component (x‐axis) against the second principal component (y‐axis). And the radial basis function neural network was used for quantitative prediction of the volume percentages of MTBE and benzene in gasoline based on Raman Spectra. The correlation coefficient (r) and mean absolute percentage error between predictive values and spiked values were 0.9907 and 0.9934 and 15.73 and 8.19%, respectively. Moreover, the Raman spectra of the samples were obtained with a portable Raman spectrometer. Therefore, the method is simple, effective, fast, does not require sample pre‐processing, and is promising for rapid gasoline detection. Copyright © 2012 John Wiley & Sons, Ltd.     

混氢改善汽油机稀燃性能的试验研究

针对汽油机稀燃条件下循环变动大,燃料燃烧不充分的问题,本文在一台加装了电控氢气喷射系统的四缸汽油机上就混氢对改善汽油机稀燃条件下燃烧与排放性能的作用进行了试验研究。在发动机1400r/min,进气道绝对压力为61.5 kPa的条件下,就1%与3%两种进气混氢体积分数对稀燃汽油机燃烧与排放特性的影响进行了研究。试验结果表明,稀燃时发动机制动热效率随混氢分数增加而提高;滞燃期与速燃期随混氢分数增加而缩短;发动机稀燃极限所对应的过量空气系数由原机的1.45提高至混氢1%与3%时的1.55和1.96。混氢后发动机HC与CO排放降低,但NO_x排放有所升高。     

废气进口位置对汽油机性能和NOx排放影响的研究

为同时兼顾排放性、经济性和动力性,提高汽油机废气再循环率,提出改变EGR进气方式,将EGR废气通过管路直接通到进气门处的方案。在一台四气门汽油机上对进气门处单侧通废气与中央通废气的方式进行了对比试验。试验结果表明,与中央进气方式的EGR相比,单侧EGR进气方式在降低同样NOx的排放的情况下,具有更高的燃油经济性、动力性和EGR率。另外,单侧EGR不必降低EGR进气温度,即能获得较较好的发动机性能。     

有机进样–电感耦合等离子体质谱法测定汽油中锰、铁、铅

建立有机进样-电感耦合等离子体质谱法(ICP-MS)测定汽油中锰、铁、铅含量的分析方法。以乙醇为稀释剂,选择水性无机元素标准溶液为标准物质,采用标准加入法并加入内标校正、补偿基体干扰效应后直接稀释进样分析,用碰撞模式消除多原子离子质谱干扰。锰、铁、铅的含量在0.00~20.00 μg/kg范围内具有良好的线性关系,相关系数均大于0.999,检出限分别为0.20,0.50,0.05 μg/kg。按标准加入法进行回收试验,加标回收率分别为81.9%~95.5%,85.4%~103.1%,97.4%~101.4%,测定结果的相对标准偏差均小于6%(n=6)。该方法快速、准确,灵敏度高,操作简便,试剂用量小,能满足实际汽油样品中微量锰、铁、铅含量的分析要求。     

THz wave sensing for petroleum industrial applications

We present the results of terahertz (THz) sensing of gasoline products. The frequency-dependent absorption coefficients, refractive indices, and complex dielectric constants of gasoline and xylene isomers were extracted in the spectral range from 0.5–3.0 THz. The THz spectra of gasoline (#87, #89, #93) and related BTEX (benzene, toluene, ethylbenzene, and xylene) compounds were studied by using Fourier transform infrared spectroscopy (FTIR) in the 1.5–20 THz (50–660 cm⁻¹). The xylene isomers, which are used as antiknock agent in gasoline were determined quantitatively in gasoline in the THz range. Our investigations show the potential of THz technology for the petroleum industrial applications.