植物油中邻苯二甲酸酯含量测定结果的不确定度评定

依据GB/T 21911–2008《食品中邻苯二甲酸酯的测定》,采用GPC净化在线浓缩、气相色谱–质谱法测定植物油中的邻苯二甲酸酯类增塑剂。参照JJF1059–1999《测量不确定度的评定与表示》,以测定花生油中邻苯二甲酸二(2-乙基)己酯(DEHP)为例,对整个测量过程中不确定度的来源进行了分析,并对不确定度各个分量进行了评定和合成,取包含因子k=2(约95%置信概率),花生油中DEHP含量为11.8 mg/kg时,扩展不确定度U=1.2 mg/kg。结果表明,随机效应和曲线拟合是影响邻苯二甲酸酯检测过程中的主要因素。     

New potentially environmentally friendly copolymer of styrene and maleic acid—castor oil monoester

The maleic acid‐castor oil monoester (MACO) was synthesized and was used as monomer to synthesize a new potentially environmentally friendly copolymer of styrene and MACO (poly‐St/MACO) by suspension polymerization. Under the appropriate conditions, the poly‐St/MACO with yield of 81%, number average molecular weight of 44100 g/mol, and molecular weight distribution of 1.5 could be obtained. The chemical structures of the MACO and resulting copolymer were confirmed by Mass Spectrometry Infrared Spectroscopy and Nuclear Magnetic Resonance Spectroscopy H[1]. The results of thermogravimetric analysis and biodegradation test showed the poly‐St/MACO can be used as a new potentially environmentally friendly material with excellent thermal stability. Copyright © 2011 John Wiley & Sons, Ltd.     

委内瑞拉常压渣油供氢热转化研究

采用高压釜研究了委内瑞拉常压渣油的常规减黏裂化与供氢热转化过程。结果表明,相比常规减黏裂化而言,供氢热转化过程中的供氢剂能够抑制气体产物、沥青质以及焦的形成,后者的气体收率比前者低0.5%~1.2%,生焦率低0.02%~0.98%,残渣油沥青质含量低0.6%~1.3%;在反应温度425℃、反应时间5~20 min条件下,供氢热转化过程的总降黏率、净降黏率变化分别为46.1%~54.8%、10.2%~33.0%;供氢热转化过程的较佳反应条件为425℃、5 min,此条件下供氢热转化生成油斑点实验等级为一级(ASTM D4740),运动黏度(50℃)为185.5 mm²/s,净降黏率为26.4%,满足了船运的基本要求。     

Isolation and Determination of Sterols in Rapeseed Oil by HPLC-MS

This article has been retracted     

Determination of API Gravity and Total and Basic Nitrogen Content by Mid- and Near-Infrared Spectroscopy in Crude Oil with Multivariate Regression and Variable Selection Tools

Abstract

American Petroleum Institute (API) gravity is an important parameter in the crude oil industry and the nitrogen compounds are related to the toxic effects of the oil in refineries and the environment. In this paper, 194 crude oil samples with API gravities ranging from 11.4 to 57.5 were used for the purpose of estimating the physicochemical properties: API gravity, total nitrogen content (TNC) and basic nitrogen content (BNC). Initially, infrared spectra in the mid and near regions (MIR and NIR) were collected, then full-spectral partial least squares (PLS) and the orthogonal projections to latent structures (OPLS) chemometric models were developed and validated, as well as models using interval PLS (iPLS), synergy interval PLS (siPLS) and competitive adaptive reweighted sampling PLS (CARSPLS) as variable selection tools. For API gravity and TNC, the best calibration technique is the NIR CARSPLS with a root mean square error of prediction (RMSEP) values of 0.9 and 0.0275?wt%, respectively. For BNC, the best technique is MIR siPLS with a prediction error of 0.0134?wt%. The results were validated based on the evaluation of the figures of merit, a statistical evaluation of the accuracy, characterization of the systematic error and measurement for errors in the residues. The results were satisfactory considering the high variability of the data and the diversity of the samples, demonstrating suitable applicability for practical analysis.     

Rapid Authentication of Olive Oil by Raman Spectroscopy Using Principal Component Analysis

A method of principal component analysis was employed to authenticate genuine olive oil based on Raman spectroscopy, which can reliably distinguish olive oil from other types of oils and can also accurately identify the level of adulteration in a set of olive oil samples contaminated with 5% or more of other types of oils, such as soybean oil, rapeseed oil, sunflower seed oil, and corn oil. The method is very easy, effective, time-saving, and requires minimal sample preparation. Therefore, the method is a promising technique for the rapid authentication application of olive oil.

[Supplementary materials are available for this article. Go to the publisher's online edition of Analytical Letters for the following free supplemental resource(s): Additional text and table]     

聚合物注入能力的实验研究

聚合物驱油作为一种重要的三次采油方法,在国内外油气田开发中得到了广泛应用.聚合物驱油效果的好坏取决于多种因素,其中很重要的一个因素是聚合物的注入能力,这一因素直接决定了聚合物驱油的成败.本文利用实验方法研究了聚合物的分子质量、岩样的渗透率以及注入速度等因素对聚合物注入能力的影响.结果表明,聚合物溶液具有粘弹性,注入速度增大,注入性变差.同时聚合物分子量越大,岩心渗透率越低,聚合物注入性越差.对于孤岛中一区,平均孔隙半径与聚合物分子折算半径之比大于10时,聚合物可顺利注入地层.研究结果可用于指导现场聚合物的选取,从而有效保证聚合物的注入能力,使聚合物驱油达到预期效果.     

四种合成油微动磨损性能比较研究

本文对GCr15钢/45#钢摩擦副在聚醚、合成酯、聚α-烯烃和硅油润滑下的切向微动磨损性能进行了实验研究.结果表明:在微动滑移区,与干摩擦相比,不同合成油润滑下的摩擦系数和磨损降低幅度不同.极性聚醚和合成酯形成的边界吸附膜使微动的摩擦系数比聚α-烯烃和硅油低;硅油表面张力小且黏压系数最低,形成的油膜最薄且更易在摩擦表面微裂纹中渗透,导致较大的稳态摩擦系数和磨损;聚α-烯烃润滑下微动初期形成的白层有助于降低磨损.     

用γ射线Compton散射法来测定管道内油垢厚度

论文中讨论了散射截面与散射角和能量的关系．采用Compton散射总截面,推导出并分析了近水平入射小角度散射法的相应函数与靶介质厚度关系公式．数值拟合结果显示相应函数与油垢厚度之间存在立方性关系．     

木材正辛醇液化产物的红外光谱分析

溶剂溶解技术是生物质液化的重要过程之一。为了在温和条件下从生物质中生产高质量的液体燃料,有必要开发新型液化溶剂。而对液化产物的分析则是评价溶剂液化效果的主要途径。在不锈钢高压釜中进行杨木粉在酸化正辛醇中的液化反应,对液化产物先后用丙酮,正己烷萃取,得到液化残渣、重质油和轻质油。通过对液化残渣、重质油和轻质油的红外光谱分析考察了木材中纤维素、半纤维素和木质素的液化规律和转化机理。结果表明,木材液化油品是复杂的混合物,含有羟基、羰基、甲氧基、芳基和醚类化合物。纤维素/半纤维素比木质素更容易液化。纤维素/半纤维素主要转化为轻质油,而木质素液化产物主要是重质油。在150 ℃木质素液化降解生成小分子芳烃,继续升高液化温度导致小分子芳烃重聚合。