PDS用于不同温度下的近红外光谱模型传递研究

采用合适的计算方法可降低测定环境对近红外光谱校正模型稳健性的影响。该文以喷气燃料为研究对象,考察了分段直接校正算法对所建模型预测结果的影响,通过选择转移样品数及窗口宽度,建立了最佳的校正模型和光谱转移参数。结果表明,在20℃下建立近红外光谱校正模型,直接预测30℃下喷气燃料的密度,预测集样品均方根误差（RMSEP）为0.2031,而30℃近红外光谱采用分段直接校正算法模型转移后,预测集样品均方根误差（RMSEP）降低为0.1354,预测结果得到明显改善,有效地解决了样品温度对近红外光谱分析结果的影响。     

近红外光谱法测定柴油硫含量方法研究(英文)

近红外分析方法是目前发展较快的一种快速测量方法,它具有快速、准确、无污染等特性,被广泛应用于石油化工各个领域中,而采用近红外分析方法测定硫含量的文献报道较少。本文对近红外分析方法测定柴油硫含量进行了研究。选取有代表性的100个柴油样品,采用多元线性回归法建立校正模型。由17个样品组成验证集,用建立的分析模型预测其硫含量,将近红外光谱测定的结果与标准方法测定的结果进行比较。模型具有较好的相关性,标准偏差为426.95,相关系数是0.998。     

乙醇混合燃料近红外定量分析

采用近红外光谱(NIR)透射法对乙醇混合燃料各成分进行定量分析；其中乙醇体积分数为84．5％～98．2％，汽油体积分数0～15％；通过偏最小二乘法(PLS)建立模型，乙醇含量NIR模型校正集测定系数(R^2)为0．9969，模型校正集标准差(SEE)和预测集标准差(SEP)分别为0．23和0．38，汽油含量NIR模型校正集测定系数为0．9939，模型校正集标准差和预测集标准差分别为0．38和0．39，对含量较小的干扰物质丙酮预测结果也理想；近红外和多元校正技术可作为乙醇混合燃料中成分含量测定简单、快速方法之一。     

基于支持向量机的低分辨核磁共振氢谱法快速预测喷气燃料密度

密度是喷气燃料生产、储运、加注过程中重要的质量指标。为了实现喷气燃料密度的快速、准确测定，提出了一种基于支持向量机（SVM）的低分辨核磁共振氢谱法预测喷气燃料密度。采集喷气燃料样品密度数据和低分辨核磁共振氢谱，利用网格寻优算法和训练集内部五折交叉验证方法优化建模参数。以均方误差和相关系数为指标，通过正交试验对影响模型性能的数据预处理方法进行优化，并对谱图特征的提取方式进行考察。在优化条件下建立的定量分析模型比偏最小二乘法模型预测准确度更高。所建模型对6个油样的预测值与标准值的相对偏差均低于0.3%，模型可应用于喷气燃料密度的快速分析。     

基于BP-神经网络的航空煤油总酸值近红外光谱快速检测

针对航空煤油中总酸值量较小,在近红外定量分析时有用信息易被干扰的问题,采用误差反向传播神经网络(BP-ANN)建立航空煤油总酸值近红外光谱分析模型.根据模型校正集预测偏差最小原则,确定了隐含层神经元个数、学习效率等参数.用建立的网络模型预测了验证集样品总酸值,预测的相关系数R2为0.9778,预测标准偏差(RMSEP)...     

中药材三七提取液近红外光谱的支持向量机回归校正方法

提出近红外光谱的支持向量机回归校正建模方法.以中药材三七渗漉提取液为实际分析对象,对其近红外光谱数据进行预处理和主成分分析后,用支持向量机回归算法建立人参皂苷R_g1,R_b1和R_d以及三七总皂苷的近红外光谱校正模型.以R_g1,R_b1和R_d的HPLC测定值及三七总皂苷的比色法测定值为参照,将本文方法与偏最小二乘回归和径向基神经网络建模方法相比较,结果表明,本文所建模型的预测准确性优于后两者,可推广应用于中药提取过程的近红外光谱分析.     

喷气燃料的化学组成与理化性质的定量关系研究

利用GC/MS分析了80个喷气燃料样品的烃族化学组成,将其分为直链烃、异构烃、环烷烃、芳烃、十氢萘五大类,并测定了燃料的密度、苯胺点、热值、冰点、闪点及沸程等主要理化性质.构建了喷气燃料组成和性质关系的数据库,考察了喷气燃料的烃族组成及沸程对各种性质的影响.结合Cookson等的理论,建立了八个模型方程,通过多元线性回归预测烃族化学组成与理化性质关系, 与已报道的其他方程比较,新模型的相关系数明显提高.     

小波多尺度分段直接校正法用于近红外光谱模型传递的研究

分段直接校正(PDS)算法是目前最常用的近红外光谱模型传递方法,但它在对整个谱区进行校正时,始终依赖大小不变的传递窗口.为了提高传递效果,本研究在PDS基础上提出了一种新的算法--小波多尺度分段直接校正法(WMPDS),用于混胺的近红外光谱模型传递,并详细讨论了模型的传递参数和传递结果.本算法首先对混胺的近红外光谱进行...     

遗传算法用于偏最小二乘方法建模中的变量筛选

利用全局搜索方法－遗传算法（genetic algorithms,GA)对近红外光谱分析中的波长变量进行筛选,再用偏最小二乘方法（patrial least squares,PLS）建立分析校正模型。对两类样品的近红外光谱分析应用实例表明,这种选取变量进行校正的方法,不仅简化、优化了模型,而且增强了所建模型的预测能力,尤其适用于单纯PLS较以校正关联的体系。     

近红外光谱结合新型模型传递方法用于糖料的在线质量监控

当采用近红外光谱技术对糖香料的生产过程进行在线质量监控时,糖香料的温度变化严重影响近红外光谱校正模型的预测性能,使其对糖浆样本中主要成分预测结果的平均均方根误差从2.4%增大到29.2%。本研究将近红外光谱技术与载荷空间标准化新型模型传递方法相结合,有效消除了温度变化对近红外光谱校正模型定量分析结果的影响,使其对糖浆样本中主要成分预测结果的平均均方根误差维持在3.8%的水平,实现了利用近红外光谱技术对糖香料的质量进行快速准确的监测和控制。本研究的研究结果为糖料的配制和使用提供了技术保障。     

燃油燃料含硫化合物形态分布剖析技术研究进展

介绍了目前用于燃油、燃料(如汽油、柴油、煤油、喷气燃料)的硫化物形态分布剖析的多种分析技术,包括电化学方法和气相色谱与多种选择性检测器联用的方法(如GC - FPD、GC - AED、GC - SCD、GC - MS等),并对各种分析技术的研究现状进行了概述.     

Rapid determination of total sulfur in fuels using gas chromatography with atomic emission detection

The purpose of this study is to determine whether gas chromatography (GC)-atomic emission detection (AED) can be used in a low-resolution mode for rapid, accurate determinations of total sulfur in fuels at trace levels to complement other popular methods of total sulfur analysis. A method for the rapid determination of total sulfur in fuels (called "fast GC-AED") is developed. The method is tested on gasoline, jet fuel, kerosene, and diesel fuel with sulfur concentrations ranging from 125 mg/L down to 2.5 mg/L. Fast GC-AED shows better performance than traditional GC-AED for total sulfur determinations, especially for complex mixtures containing many different sulfur-containing compounds at trace levels. This method also shows that GC-AED can be used for both rapid determinations of total sulfur and traditional determinations of speciated sulfur without requiring equipment changes. Fast GC-AED is competitive with other popular methods for sulfur analysis. The 5-min program that is developed for fast GC-AED is comparable with the time scale of other methods, such as wavelength dispersive X-ray fluorescence and UV-fluorescence (2 to 5 min). Fast GC-AED also compares favorably with UV-fluorescence for trace sulfur determinations, demonstrating accuracy down to 2.5-mg/L sulfur.     

Desulfurization of model and real fuels by extraction and oxidation processes using an indenylmolybdenum tricarbonyl pre-catalyst

Regulations on the permissible levels of sulfur in transportation fuels are becoming ever more strict, with a global shift towards “zero sulfur” fuels, and the revamp of existing hydrodesulfurization (HDS) facilities to meet these lower caps is cost-prohibitive. Metal-catalyzed sulfoxidation chemistry is viewed as an economically viable desulfurization strategy that could complement conventional HDS technology. In the present work, the complex [η⁵-IndMo(CO)₃Me] ( 1 ) (Ind = indenyl) was employed in the catalytic oxidative desulfurization (CODS) of model and real liquid fuels, using aqueous hydrogen peroxide (H₂O₂) as oxidant. After optimization of the CODS reaction parameters (diesel/H₂O₂ ratio, catalyst amount, temperature), a high-sulfur (2000 ppm) model diesel containing benzothiophene, dibenzothiophene, 4-methyldibenzothiophene and 4,6-dimethyldibenzothiophene could be completely desulfurized within 2 hr under solvent-free conditions or in the presence of the ionic liquid 1-butyl-3-methylimidazolium hexafluorophosphate ([BMIM]PF₆) as extraction solvent. The catalyst formed under solvent-free conditions could be recycled without a significant decrease in desulfurization activity. The high performance of the CODS system was verified in the sulfur removal from a commercial untreated diesel fuel with a sulfur content of 2300 ppm, and a jet fuel with a sulfur content of 1100 ppm. Solvent-free CODS in combination with initial/final extraction gave desulfurization efficiencies of 70% for the diesel fuel and 55% for the jet fuel. CODS with [BMIM]PF₆ in combination with initial/final extraction led to a sulfur removal of 95.9% for the diesel fuel, which is one of the best results yet reported for ODS of commercial diesels.     

Quantitative determination of sulfur compounds in FCC gasolines by AED. A study of the effect of catalyst type and catalytic conditions on sulfur distribution

The identification and quantification of sulfur-containing compounds in gasoline has become an area of interest because of impending legislation regulating total sulfur levels in these fuels. To study the effects of catalyst type and catalytic conditions on gasoline sulfur distribution, a method has been developed employing both the compound-independent and element-specific response of the atomic emission detector (AED). Calibration and quantification can be accomplished even where standards are not available, owing to the nature of the AED response. Compounds were separated on a thick film polydimethylsiloxane column. An external calibration curve was applied to the area responses of individual sulfur components in the sulfur chromatogram, and the concentrations of each were calculated. Summation of these sulfur concentrations over the gasoline range yields the total sulfur content of the gasoline. The method is applicable to the determination of these compounds in raw crude oils, finished gasolines, fluid cracking catalyst (FCC) unit gasolines, and fluid catalytic cracking “model” compound studies. A prefractionating column was employed to remove heavy (>C₁₃) materials; prefractionation is not, however, necessary for distilled or commercial gasoline samples. Detection limits, linearity, detector stability, and accuracy are discussed.     

Determination of elemental sulfur in jet fuel by differential pulse polarography

A sensitive method based on differential pulse polarography is described for the determination of elemental sulfur in jet fuels. Its sensitivity makes it suitable for following small changes in the sulfur content of jet fuel during storage. The supporting electrolyte is 0.19 M ammonium acetate/0.088 M acetic acid in 1:1 toluene/methanol. In this medium, the peak potential is ?0.56 V vs. Ag/AgCl. Calibration is linear from 2 to 30 mg l^?1. The limit of detection is 0.1 mg l^?1. Accuracy is better than 5%. Interferences from oxygen, hydrogen sulfide, thiols, organic sulfides and disulfides, organic peroxides and fuel additives are shown to be of very minor significance.     

Determination of polycyclic aromatic sulfur heterocycles in diesel particulate matter and diesel fuel by gas chromatography with atomic emission detection

The sulfur content of diesel fuel is of environmental concern because sulfur can facilitate the formation of diesel particulate matter (DPM) and sulfur dioxide (SO2) in the exhaust can poison catalytic converters. The US Environmental Protection Agency (EPA) has established more stringent regulations to reduce the sulfur content of diesel fuels in the near future. In this study, various types of organosulfur compounds in DPM extracts and the corresponding fuels have been determined by gas chromatography with atomic emission detection. The diesel fuels used have sulfur contents of 2284 and 433 ppm, respectively, and are labeled as high-sulfur and low-sulfur diesel fuels. The compounds identified are mainly polycyclic aromatic sulfur heterocycles (PASHs). In the fuels tested, trimethylbenzothiophenes (TMBTs), dibenzothiophenes (DBTs), and 4-methyldibenzothiophene (4-MDBT) were the most abundant sulfur compounds, while larger PASH compounds were more abundant in DPM extracts. The high-sulfur diesel fuel contained a larger proportion of PASHs with one or two rings (lighter PASHs). In DPM, the concentrations of total organic sulfur and individual PASHs are higher for the high-sulfur diesel fuel, and the relative percentage of one or two-ring PASHs is higher as well. The influence of engine load on the DPM composition was also examined. With increasing load, the PASH concentration in DPM decreased for lighter PASHs, increased for heavier PASHs, and had a bell-shaped distribution for PASHs in between.     

Sulfur standard solution for use in the determination of low sulfur concentration in liquid fuels

A sulfur reference solution at the 1 mg kg⁻¹ level, NMIJ CRM 4215-a, has been issued by the National Metrology Institute of Japan at the National Institute of Advanced Industrial Science and Technology (NMIJ/AIST). The intended use of this CRM is for the calibration of standards used in the determination of sulfur in liquid fuels. The certified value of this CRM was determined using the gravimetric blending method. Thiophene and toluene were chosen as the high purity sulfur compound and the dilution solvent, respectively. Measurements of the trace sulfur in the solvent were performed using the total sulfur analyzer with an enrichment system; the standard addition method was employed. When trace sulfur in the solvent was evaluated, the signal which appears with no sample injection was subtracted as the background.     

Fast analysis of oxygen and sulfur compounds in gasoline by GC-AED

This paper describes a method for determining both the total sulfur content and the concentration of oxygenated additives in gasoline by gas chromatography with atomic emission detection (GC-AED). The AED provides selective detection of oxygen and sulfur compounds. Because the response factors for sulfur and oxygen are largely independent of the type of compound, calibration and determination of total element content are simplified. The use of a 0.1 mm i.d. capillary column enables complete elution of the components of the gasoline in under 10 minutes.     

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。     

用混合熔剂熔融制样-XRFS法分析铁矿石方法改进的探讨

针对XRFS法分析铁矿石时存在的总铁量及硫量测定结果的不准确问题，作了进一步试验并对方法提出了修改。其要点是采用了加入含钴的四硼酸锂和碳酸锂的混合熔剂熔融试样，并对熔融温度及时作了规定，采用钴的谱线作内标，以及根据总铁量的高低分别采用两条工作曲线。此外，对同时含钒及钛的试样，采用校正方法消除其相互间的干扰，按修改后的方法分析铁矿石试样，结果的准确度和精密度均达到规定要求。