伊朗原油小于350℃窄馏分油闭口闪点的测定和关联

将伊朗原油小于350℃馏分切割成每10℃的窄馏分，实测了窄馏分的闭口闪点、密度、折射率和运动粘度等物性，考察了窄馏分闪点与其它物性之间的相互关系，建立了预测窄馏分油闪点的五个数学模型。用上述数学模型预测窄馏分油闪点，其平均绝对误差均小于3.1℃，可满足炼油设计和工程计算的要求。     

人工神经网络用于近红外光谱测定柴油闪点

采用主成分－人工神经网络对不同留程柴油的近红外光谱进行校正,预测其闪点。采用监控集控制网络训练过程,以避免过训练。探讨了人工神经网络（ＡＮＮ）、直接线性连接人工神经网络（ＬＡＮＮ）的校正效果,并与局部权重回归（ＬＷＲ）、主成分回归（ＰＣＲ）及偏最小二乘（ＰＬＳ）等校正方法进行了比较,认为人工神经及直接线性关联的较好手段。     

基于拓扑指数对含氧有机化合物闪点的定量构效关系研究

闪点是衡量化合物易燃程度的物理量,也是可燃性液体的一个重要安全性指标。本文对含氧有机化合物(包括醇、酚、醚、醛、酮、羧酸、酯等)的闪点与分子结构之间的关系进行分析,提取并计算了顶点度-距离指数(VDI)、奇偶指数(OEI)、边度-距离指数(EDI)、分子体积参数(MVI)和氢键指示变量(HB)等分子结构参数,并结合分子隐氢图顶点数(N)的2/3次方(N~(2/3)),对训练集中81个含氧有机化合物的闪点进行定量结构-性质相关分析。结果表明,由N~(2/3)、VDI、EDI、OEI、MVI和HB等6个参数对闪点建立的多元线性回归模型的相关系数(R)为0.9909,标准偏差(s)为6.39K,平均相对误差(ARD)为1.60%。用该模型对测试集中20个含氧有机化合物的闪点进行了预测,ARD为1.84%。     

偏最小二乘和量子化学参数预测酯类物质的闪点

基于化合物定量结构与性质的关系,对其中88个酯类化合物进行了B3LYP/6-31G*水平上的结构优化,并在优化结构基础上进行了量子化学结构参数的计算。应用偏最小二乘(PLS)方法对酯类化合物闪点温度这个理化性质与量子化学参数进行了关联。结果表明,分子热力学自由能(ΔG)结合偶极距(μ)可以很好地表达酯类化合物闪点温度与量子化学参数间的定量关系。所建立的QSPR模型具有较强的稳健性和预测能力。     

轻质油闭口闪点不确定度的评定

介绍了轻质油品闭口闪点测定过程中检测结果不确定度的评定方法,从测量程序各步骤评定了不确定度的各项来源,对测量过程中的主要不确定度分量进行了合理评定,包括升温速率;温度计的计量性;计算时数字修约等不确定度分量的评定,最后求得闭口闪点检测结果的合成标准不确定度。为实验室在该项检测过程中进一步提高检测数据的准确性作参考。     

顶空-气相色谱-质谱法检测易燃液体及其分类

建立了一种利用顶空-气相色谱-质谱进行易燃液体的检测和分类的有效方法。以凹版油墨为模型样品体系，利用顶空-气相色谱-质谱鉴定了样品中的易挥发组分。考察了平衡温度、平衡时间和组分含量等特性参数。利用外标法测定了组分含量，结果显示该方法的相对标准偏差为0.88%~2.88%，加标回收率为92.8%~103.1%。采用该方法对多种实际样品进行了定性和定量分析，并用混合溶剂闪点预测模型计算了样品的闪点，与闪点实测值进行了比较。结果表明，该方法可用于易燃液体实际样品闪点的预测，实现化学品的分类，闪点预测值与实测值最大偏差仅为3.2℃。该方法为易燃液体实际样品的分类提供了一种新颖、高效和便捷的技术。     

柴油-生物质油乳化燃料最佳HLB值及理化性质研究

采用超声波乳化法制备柴油-生物质油乳化燃料,并研究了乳化燃料所需乳化剂的最佳亲水亲油平衡（HLB）值以及乳化条件对乳化燃料稳定性的影响,测定了乳化燃料的密度、黏度、闭口闪点、烟点、凝点和总热值等理化性质。结果表明,柴油-生物质油乳化燃料乳化剂的最佳HLB值为5.5~6.2;当乳化温度为50℃~60℃、单位容积输入功为180J/mL~300J/mL时,乳化燃料的稳定性最好;乳化燃料的密度、黏度、闪点和烟点随生物质油比例的增加而增大,而凝点和总热值则随生物质油比例的增加而降低。     

近红外光谱法快速测定生物柴油调和比及理化指标

通过比较偏最小二乘法(PLS)处理调和生物柴油近红外光谱图与标准方法测定调和生物柴油所获得的基础数据,确立了调和生物柴油的调和比、密度、运动黏度、热值、闭口闪点及冷凝点之间的相互关系。结果表明:经优化后,在OPUS光谱分析软件推荐维数(Rank)下,各指标模型的预测值与标准测定值之间线性相关关系均显著。在用于测定未知调和生物柴油样品的上述指标方面具有测定快速简便、误差小、成本低等优点,并用马氏距离限制异常项,每份生物柴油各指标的马氏距离都处于允许范围内。对于新类型生物柴油,可向模型添加10个以上调配样本,扩充模型后即可用于测定这类型调和生物柴油相关理化指标,可成为测定调和生物柴油相关理化指标新方法。在此基础上,可进一步开发出生物柴油近红外光学理化指标测定仪,实现低成本与快速测定。     

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.     

色质联用研究柴油蒸汽的可燃性

用色质联用的方法分析不同温度下柴油蒸汽的组成，确定正烷烃在油蒸汽中的分布；并结合勒夏特列原理计算出各个温度下的蒸汽可燃性指数，计算结果接近于实际情况。     

Flash point of organic binary mixtures containing alcohols: experiment and prediction

The flash points of three organic binary mixtures containing alcohols were measured in the present work. The experimental data was obtained using the Pensky-Martens closed cup tester. The experimental data were compared with the values calculated by the Liaw model. Activity coefficients were calculated by the Wilson equation and NRTL equation. The accuracy of predicted flash point values is dependent on the thermodynamic model used for activity coefficient.     

Two Reliable Simple Relationships between Flash Points of Hydrocarbon Kerosene Fuels and Their Molecular Structures

This study presents two new reliable simple correlations for predicting flash point of kerosene hydrocarbons using multiple linear regression method. The methodology assumes that the flash point of kerosene fuels can be expressed as a function of elemental composition and several structural parameters. The proposed correlations have determination coefficients of 0.910 and 0.977. Also, the first model has root mean square deviation (RMSD) and the average absolute deviations (AAD) of 10.6 and 8.2 K, respectively, for 111 kerosene fuels with different molecular structures as training set. The RMSD and AAD for the second improved model are 5.39 and 4.33 K, respectively. The predictive power of two correlations is checked using a cross validation method. (R² = 0.977, Q²_Ext = 0.975, and Q²_LMO = 0.979). Also, these correlations give good predictions for further 25 kerosene fuels as test set. The proposed model can also be applied for designing novel kerosene fuels.     

Study on volatility and flash point of the pseudo binary mixtures of sunflower-based biodiesel + methylcyclohexane

The transesterification of sunflower seed oil was carried out in supercritical ethanol without using any catalyst to produce biodiesel. In the present work, methylcyclohexane was added to enhance the vapor pressure of biodiesel. The vapor pressures of mixtures of biodiesel + methylcyclohexane as a function of temperature were measured by comparative ebulliometry with an inclined ebulliometer. The vapor pressures versus composition at different temperatures were obtained. Experimental data of vapor pressures and equilibrium temperatures were correlated by the Antoine equation. A mathematical model was used to predict the flash point of the pseudo binary mixtures. With the regular solution theory, the predictive flash point displays agreement with the experimental data obtained by closed cup test.     

Synthesis and characterization of some novel silicon esters and their application as lubricant base stock solution

A series of functional organosilanes and their esters were synthesized by the hydrosilylation reaction of Si? H group‐bearing organosilicon derivatives with maleic anhydride using Speier's catalyst and their esterification with long‐chain alcohols in the presence of stannous oxide. These products have been characterized using elemental analysis, FT‐IR, ¹H, ¹³C and ²⁹Si NMR. Viscosity, density, pour point, flash point and tribological properties of these compounds have also been evaluated. These esters have a pour point of 相似文献   

Cloud Point Extraction of Serum Albumin and Its Spectrophotometric Determination in Serum Samples

Abstract

A new method based on the cloud point extraction (CPE) separation and ultraviolet spectrometry determination was proposed for the determination of albumin. When the system temperature is higher than the cloud point extraction temperature (CPT) of the mixed surfactant of p‐octyl polyethyleneglycolphenyether (Triton X‐100) and sodium dodecyl sulfate (SDS), serum albumin could be extracted into surfactant‐rich phase. The main factors affecting the cloud point extraction were investigated systematically. Under the optimized conditions, the determination limit for serum albumin as low as 0.18 µg/mL was obtained by preconcentrating a 10 mL sample solution, and the relative standard deviation (n=10, c=40.0 µg/mL) was 3.77%. The proposed method was applied to the determination of albumin in serum samples. The results obtained by this method were in good agreement with coomassie brilliant blue (CBB).     

关于凝固点和凝固点降低

对水的凝固点、三相点、标准凝固点和正常凝固点概念及其图示进行了辨析。     

Hollow Fiber-Solid Phase Microextraction of Polycyclic Aromatic Hydrocarbons from Environment Water Followed by Flash Evaporation GC/MS

Chromatographia - A solid phase microextraction coupled with flash evaporation GC/MS technique was developed for the quantitative determination of polycyclic aromatic hydrocarbons (PAHs) in water...     

浊点萃取-火焰原子吸收光谱法测定样品中的痕量钴

研究了基于表面活性剂Triton X-114和络合剂吡咯烷二硫代氨基甲酸铵（APDC）浊点萃取钴的样品前处理方法.优化了浊点萃取条件参数,包括pH值、Triton X-114用量、APDC浓度、平衡温度及时间等,建立了浊点萃取-火焰原子吸收光谱法测定痕量钴的方法.该法的检测限（3σ）为2.6μg/L,相对标准偏差RSD为6.2%（n=7,c=200μg/L）.该法成功地应用于海带、维生素B12注射液等样品中钴的测定.