含盐二元系的等压气液平衡研究

本文用改进的Rose釜分别测定了在750mmHg压力下的丙酮－甲醇－NaI体系和700mmHg压力下的异丙醇－水－LiCl、CaCl2、NH4Cl、(CH3)4NCl体系的气液平衡数据，当双液系组成固定时，盐的浓度与沸点之间存在线性关系,与热力学导出的线性关系基本相符。     

苯—正庚烷—乙醇三元体系加压汽液平衡的研究

用双循环武加压汽液平衡装置测定了苯-正庚烷-乙醇三元体系在101.3、302.5、506.8、709.3、810.6 kPa下的汽液平衡数据。根据有关二元体系在对应压力下的汽液平衡数据所求得的能量配偶参数,对该体系的汽液平衡进行了预测,计算值与实验值符合良好。     

辽河减压渣油-正戊烷体系的相态变化特性

利用RUSKA公司无汞PVT装置,对辽河减压渣油-正戊烷体系的相行为进行了实验观察,测定了辽河渣油-正戊烷体系相态变化的边界线,如液-液相分界线、液-液-气三相区分界线等,绘制了体系的p-t相图;在140℃～190℃,1.0MPa～10.0MPa,溶剂质量比为3.0～6.0的条件下,对体系相特性的变化进行了分析和讨论。在实验条件下,辽河渣油-戊烷体系的p-t相图可以划分为四个区域:单一液相区、液-液两相区、液-液-气三相区、气-液两相区;溶剂质量比对由单一液相区转变为液-液两相分相压力的影响显著,溶剂质量比越大,分相压力越大;但溶剂质量比对液-液-气三相区影响不大。确定了辽河渣油-正戊烷体系溶剂脱沥青过程适宜的操作区域。     

二氧化碳-水混合体系的相平衡和汽-液-液三相点研究

在微扰链统计缔合流体理论(PC-SAFT)的基础上建立了适用于二氧化碳-水体系相行为研究的状态方程, 以汽-液平衡和液-液平衡实验数据关联体系的交叉作用参数, 关联结果与实验数据吻合良好. 预测了二氧化碳-水体系存在汽-液-液三相平衡的温度和压力区间, 确定了三相点的汽-液-液三相密度及其与温度和压力的关系.     

甲醇—乙醇—水—盐体系的等压气液平衡

木文采用CPⅡ型沸点仪测定了在93.33kPa下甲醇-乙醇-水-盐(NaCl,NaBr,Nal,LiCl,CaCl_2)体系的气液平衡数据。实验证明,当三元混合溶剂的相对组成固定时,体系的沸点与加入的盐量呈线性关系,用热力学理论导出了该线性方程,用Gibbs相律探讨了该线性关系的起因。     

非水混合溶剂体系的盐效应

采用改进的Rose釜测定了在101.33kPa下, 甲醇-二氧六环-NaSCN, 甲醇-二氧六环-NaI和甲醇-四氢呋喃-LiCl, 甲醇-四氢呋喃-CuCl2体系的汽液平衡数据。实验结果和热力学基本原理确证了体系的沸点与加入盐浓度间的线性关系, 计算了各双液组成下体系的盐效应常数, 分析了实验中产生"异常"现象的原因, 探讨了溶液内部粒子相互作用的规律, 通过用相律、盐效应理论、静电理论、溶剂化理论的解释, 得到了一些具有理论价值的结论。     

丙三醇存在下硫酸钡微粒体系的光谱特性研究及其分析应用

0.10 mol/L HCl-4.0 mol/L丙三醇-0.05 mol/L BaCl2溶液体系的瑞利散射很弱.当有SO4^2-存在时,（BaSO4）n微粒体系在470 nm处产生一较强的瑞利散射峰,SO4^2-浓度在1.0～80μg/mL浓度范围内与I470nm呈线性关系.据此,建立了一个测定水中硫酸根的简便、灵敏的瑞利散射光谱分析新方法.研究结果表明：SO4^2-与Ba^2＋由于静电引力可形成BaSO4分子,而BaSO4分子间存在较强疏水作用力和分子间作用力,可聚集形成（BaSO4）n微粒和固液界面,（BaSO4）n微粒和固液界面的形成是导致体系瑞利散射强的根本原因.     

稀土元素的电分析化学研究 Ⅸ.铽—8—羟基喹琳-高氯酸钠的极谱配合吸附波

本文研究了铽-8-羟基喹啉(Ox)-高氯酸钠体系的极谱行为。在高氯酸钠底液中,Ox在单扫示波极谱上有一个稳定的还原波P_1,加入Tb~(3 )后,P_1降低,而在后面出现一个新波P_2。在最佳实验条件(pH4.0～4.5,0.1MNaClO_4-8.0×10~(-5)MOx)下,Tb~(3 )在1.0×10~(-6)～1.0×10~(-5)M范围内与P_1的降低有线性关系;在0.1M NaClO_4~-2.0×10~(-4)MOx下,Tb~(3 )在3.0×10~(-6)～3.0×10~(-5)M范围内与P_2的峰高有线性关系。应用多种极谱技术研究了此体系的电极反应机理,证明它为配位吸附波;写出了电极还原步骤,测定了Ox的离解常数。     

超临界CO2+碳酸二乙酯二元体系高压气-液相平衡

在带有石英视窗的可变体积高压釜内,于333,353,373和393K等4个温度下,测定了3.0～15.0MPa范围内超临界CO2与碳酸二乙酯(DEC)二元体系的气-液平衡数据.结果表明,当温度恒定时,随着压力的增大,液相中超临界CO2的浓度急剧增大,气相中碳酸二乙酯的浓度缓慢增加.根据实验结果推测出了体系的pc,Tc,xc和Vc等临界性质.     

硫酸锂-乙醇-水体系的溶解度和汽-液平衡的研究

系统地研究了Li₂SO₄-C₂H₅OH-H₂O体系的相关系和汽-液平衡,分别测定了-20℃,0℃,25℃,30℃和50℃时的平衡溶解度。提出了一个经验公式,关联不同温度下的溶解度,相对误差<2%。用盐和溶剂间的相互作用解释了盐对乙醇-水体系粘度和密度的影响。同时对该体系在25℃和580mmHg等压下的汽一液平衡结果,采用判别乙醇和水的汽相携尔分数之和是否大于1的方法,计算平衡温度和汽相组成。该方法新颖合理。25℃时等温蒸气压的计算值与实验值一致,恒压下活度系数值与的实验值吻合。     

DataCite and DOI names for research data

The publication of research data is still not a widespread practice in many disciplines. The lack of acceptance of data as scientific output equal to scientific articles, and the lack of suitable infrastructures for the storage of data make it difficult to publish and cite data independently. The global consortium DataCite was established in 2009 to overcome the challenges of data citation. The aim of the consortium is to establish easy access to data, to increase the acceptance of data publication and to support data archiving. The use of Digital Object Identifiers (DOI) provides an easy method to access and re-use research data. The DOI facilitates the citation of data and therefore increases the availability and acknowledgement of research data.     

Sensor array data profiling for gas identification

The paper presents a new method of qualitative identification of gas. It is based on a dynamic response of sensor array with the emphasis on the processing of discrete measurement data. The information needed for identification of test samples is obtained in course of profiling the data from calibration measurements. This operation consists of the following steps: classification of data sets, selection of representative data sets, parameterization of classifiers associated with representative data sets and determination of data records. In our work Discriminant Function Analysis was used for data classification. The information saved in data record describes: the sequential number of discrete measurement, combination of gas sensors in this measurement which are best for classification of calibration samples, and the parameters of associated classifier. They are identifiers of gas class. The procedure of data record determination itself is time consuming. However this operation will be performed only at the stage of the development of the measurement instrument and when its malfunction is diagnosed. The routine use of the instrument will be restricted to gas identification task, which only utilizes the results of profiling.The identification of unknown gas is performed on the base of data records and measurement data obtained for this gas. Data records guide the preparation of data sets, separately for each class of gases. These data sets are used as input of the discriminant functions which have parameter values also indicated by data records. It was shown in the present contribution, that the qualitative identification of nine test gas samples (vapors of ethanol, acetic acid and ethyl acetate in air) with our method was very accurate and fast.     

ToxML,a data exchange standard with content controlled vocabulary used to build better (Q)SAR models

Development of accurate quantitative structure–activity relationship (QSAR) models requires the availability of high quality validated data. International regulations such as REACH in Europe will now accept (Q)SAR-based evaluations for risk assessment. The number of toxicity datasets available for those wishing to share knowledge, or to use for data mining and modelling, is continually expanding. The challenge is the current use of a multitude of different data formats. The issues of comparing or combining disparate data apply both to public and proprietary sources. The ToxML project addresses the need for a common data exchange standard that allows the representation and communication of these data in a well-structured electronic format. It is an open standard based on Extensible Markup Language (XML). Supporting information for overall toxicity endpoint data can be included within ToxML files. This makes it possible to assess the quality and detail of the data used in a model. The data file model allows the aggregation of experimental data to the compound level in the detail needed to support (Q)SAR work. The standard is published on a website together with tools to view, edit and download it.     

热力学数据对1, 3-丁二烯燃烧特性的影响

基于G4方法, 计算了1,^{3-丁二烯框架燃烧反应机理中102个物种的热力学数据, 并考察了振动非谐性、 频率校正因子以及受阻内转动对结果的影响. 结果表明, 考虑振动非谐性或采用不同的频率校正因子, 对热力学数据的影响不大; 考虑内转动后, 对热力学数据有较大影响. 而且考虑内转动后, 得到的热力学数据与实验热力学数据吻合得更好. 用所得热力学数据模拟了1,3-丁二烯的绝热燃烧温度以及点火延迟时间, 结果显示, 要得到可靠的绝热火焰温度, 对小分子(如CO和CO₂等)的热力学数据需要采用实验结果. 将用所得热力学数据模拟得到的点火延迟时间, 与机理本身的热力学数据所得点火延迟时间进行对比, 二者差别显著, 表明所得热力学数据主要通过改变一些反应的逆反应速率常数来影响点火延迟时间. 进一步确定了用所得热力学数据对点火延迟时间有显著影响的一些物种.}     

Software for Microprocessor Controlled HPLC: Data Acquisition and Display

Abstract

Programs are described for the direct computer-assisted acquisition and display of chromatographic data from conventional Hplc equipment. The programs are written for a dual-microprccessor Hplc controller and provide the necessary utility routine, to calibrate the instruments, and to acquire, display, and store chromatographic data in real-time. The data acquisition routines use data filtering techniques suitable for real-time data acquisition which remove spurious noise and ripple associated with detector analog outputs. The results of chromatographies indicate only negligible differences between d a t a acquired via the coniputer equipment and data acquired directly from Hplc detectors. The stored data can be retrieved for further computer-assisted analysis.     

Construction of a data base for cobalt-59 nuclear magnetic resonance spectrometry

The TOOL-IR. PDB and COOD systems are compared for the construction of data bases for ⁵⁹Co-n.m.r. bibliographic and spectral data. The spectral data used are the chemical shifts from several different standards, and the line widths and coupling constants (if present). The PDB system is effective for storage and retrieval of bibliographic data, but the COOD system is better for the retrieval of spectral data, and for combination of data files on literature and chemical shifts.     

Real-time recursive estimation of statistical parameters

Recursive algorithms for the computation of standard deviation and average deviation are derived and their applications in data acquisition are discussed. The relative speeds and accuracies of the two algorithms are compared for synthetic data. The performance of recursive estimation under shot and proportional noise limitations is also described. As an example of the utility of these algorithms, absorbance data with constant confidence intervals are collected regardless of incident and transmitted intensities. The desired precision is specified prior to data acquisition and used to control signal-averaging of the data in real time.     

Knowledge discovery in metabolomics: An overview of MS data handling

While metabolomics attempts to comprehensively analyse the small molecules characterising a biological system, MS has been promoted as the gold standard to study the wide chemical diversity and range of concentrations of the metabolome. On the other hand, extracting the relevant information from the overwhelming amount of data generated by modern analytical platforms has become an important issue for knowledge discovery in this research field. The appropriate treatment of such data is therefore of crucial importance in order, for the data, to provide valuable information. The aim of this review is to provide a broad overview of the methodologies developed to handle and process MS metabolomic data, compare the samples and highlight the relevant metabolites, starting from the raw data to the biomarker discovery. As data handling can be further separated into data processing, data pre‐treatment and data analysis, recent advances in each of these steps are detailed separately.     

Study of the interdependency of the data sampling ratio with retention time alignment and principal component analysis for gas chromatography

An in-depth study is presented to better understand how data reduction via averaging impacts retention alignment and the subsequent chemometric analysis of data obtained using gas chromatography (GC). We specifically study the use of signal averaging to reduce GC data, retention time alignment to correct run-to-run retention shifting, and principal component analysis (PCA) to classify chromatographic separations of diesel samples by sample class. Diesel samples were selected because they provide sufficient complexity to study the impact of data reduction on the data analysis strategies. The data reduction process reduces the data sampling ratio, S(R), which is defined as the number of data points across a given chromatographic peak width (i.e., the four standard deviation peak width). Ultimately, sufficient data reduction causes the chromatographic resolution to decrease, however with minimal loss of chemical information via the PCA. Using PCA, the degree of class separation (DCS) is used as a quantitative metric. Three "Paths" of analysis (denoted A-C) are compared to each other in the context of a "benchmark" method to study the impact of the data sampling ratio on preserving chemical information, which is defined by the DCS quantitative metric. The benchmark method is simply aligning data and applying PCA, without data reduction. Path A applies data alignment to collected data, then data reduction, and finally PCA. Path B applies data reduction to collected data, and then data alignment, and finally PCA. The optimized path, namely Path C, is created from Paths A and B, whereby collected data are initially reduced to fewer data points (smaller S(R)), then aligned, and then further reduced to even fewer points and finally analyzed with PCA to provide the DCS metric. Overall, following Path C, one can successfully and efficiently classify chromatographic data by reducing to a S(R) of ～15 before alignment, and then reducing down to S(R) of ～2 before performing PCA. Indeed, following Path C, results from an average of 15 different column length-with-temperature ramp rate combinations spanning a broad range of separation conditions resulted in only a ～15% loss in classification capability (via PCA) when the loss in chromatographic resolution was ～36%.