Molar mass distributions by gradient liquid chromatography: predicting and tailoring selectivity

Interactive liquid chromatography (iLC) for polymer analysis is usually applied to the characterisation of distributions other than molar mass. In particular, its use for the determination of chemical-composition, functionality-type and tacticity distributions has been demonstrated. The application of iLC for the determination of molar mass distributions (MMDs), however, has not yet been fully explored. An expanded version of the reversed-phase liquid chromatography model has been developed to describe and predict how the retention behaviour of polydisperse polystyrene samples changes with molar mass. The relationship between molar mass and the parameters of the model has been investigated in some detail and non-linear correlations were found. From the model and the relationships between the model parameters and molar mass, calibration curves (retention time versus molar mass) were constructed to predict changes in chromatographic selectivity across a given molar mass range. These calibration curves were compared to experimentally obtained curves and, in most cases, excellent agreement was found. The dramatic enhancement in selectivity that can be obtained with iLC in comparison to size-exclusion chromatography (SEC) was illustrated by measuring matrix-assisted laser desorption ionisation (MALDI) MS spectra of fractions collected during a gradient-LC separation. In the low-molar mass range, essentially monodisperse fractions were obtained. Calibration curves, predicted by the model and validated experimentally using narrow-dispersity standards and MALDI-MS spectra of fractions, were used to determine the molar mass distribution of some narrowly distributed polystyrene samples. Molar mass distributions for such standards were found to be somewhat lower than the values reported by the manufacturers. The results also deviated from those obtained by MALDI-MS.     

Nutritional parameters of commercially available milk samples by FTIR and chemometric techniques

A chemometric study on the prediction of the main nutritional aspects of milk has been carried out by using fourier transform infrared spectroscopy (FTIR) attenuated total reflectance (ATR) measurements of commercially available milk samples of different types. Whole, semi and skimmed milks, enriched or not with calcium, vitamins or modified by alteration of lipid or sugar composition were considered. After evaluating different strategies for data acquisition and ATR cleaning between samples, hierarchical cluster analysis (HCA) was carried out for classification of samples in order to choose the calibration set. The prediction capabilities of partial least squares (PLS) data treatment were evaluated in order to obtain information about total fat, total protein, total carbohydrates (CH), calories and calcium. On using the mean square error of cross-validation and prediction as control variables, a critical evaluation were made about the calibration set to be used, the spectral range to be considered and the data treatment (PLS-1 or PLS-2) to be performed. By selecting a calibration set of 33 samples the properties of 48 samples were predicted with relative precision of triplicates of 0.062, 0.040 and 0.039% w/v for total fat, protein and carbohydrates, and 0.66 kcal/100 ml for calories, and 2.1 mg of Ca/100 ml. The mean difference (d_x−y) between predicted and actual values and standard deviation of mean differences (s_x−y), were of 0.06 (0.38), 0.03 (0.18) and −0.15 (0.41), being s_x−y values between brackets, for total fat, proteins and carbohydrates, 0.06 (3.8) kcal/100 ml for calories and −4.5 (9) mg/100 ml for calcium.The sensitivity and selectivity of the methodology developed were evaluated on terms of the net analyte signal. Selectivity factors ranging from 2 to 7.6% have been calculated for the five parameters considered.     

碘化钾-乙基紫-水体系固相浮选分离镉的研究

研究了碘化钾 乙基紫 水体系固相浮选分离镉的行为及与常见金属离子分离的最佳条件。试验表明,将碘化钾溶液、乙基紫溶液和盐酸溶液混合稀释,生成稳定的CdI2-4·(EV+)2三元缔合物可很快浮于水相,使Cd(Ⅱ)被定量浮选。控制适当条件,可实现Cd(Ⅱ)与常见金属离子Mn(Ⅱ)、Al(Ⅲ)、Ni(Ⅱ)、Zn(Ⅱ)之间的分离。对合成水样进行了浮选分离测定,结果满意。     

六极杆碰撞反应池-等离子体质谱测定生物样品中痕量铬和钒

采用带六极杆碰撞反应池的电感耦合等离子体质谱直接测定了生物样品中痕量铬和钒。在碰撞反应池中引入He/NH3(93∶7)混合气,有效地消除了分子离子(ArC 、NCl 、Cl O 、Cl OH 等)对超痕量铬、钒测定的干扰,降低了方法的检出限。比较了干法灰化和湿法消解两种样品处理方法,两种消解方式获得的结果基本一致。方法的检出限(3σ):钒为0.005 0μg.g-1,铬为0.001 8μg.g-1。相对标准偏差:钒为3.25%~14.08%;铬为4.20%~8.24%。经国家一级生物标准物质验证,测定值与标准值吻合。     

电感耦合等离子体质谱法测定煤矸石中微量锗和镓

建立了测定煤矸石中微量锗和镓的电感耦合等离子体质谱法。煤矸石试样经高温灰化,用硝酸-氢氟酸-高氯酸-磷酸分解,以电感耦合等离子体质谱法测定其中的锗和镓。通过在线三通加入内标元素铑,消除非质谱干扰;通过选择干扰元素的异质同位素进行定量测定,采用数学公式在线校正,消除质谱干扰。与分光光度法进行比对,锗、镓测定结果的相对偏差为-0.63%~0.28%。克服了常规化学分析方法步骤繁琐、耗时长、工作量大的不足。该法测定结果的相对标准偏差小于3%(n=6),加标回收率为97.4%~102.5%。该方法具有检出限低、快速、简便、线性范围宽、多元素同时测定等优点,分析误差满足化学分析法的要求,可用于煤矸石中锗和镓的测定。     

环境样品分析

本文是“分析试验室”定期评述“环境样品分析”的第8篇综述。它全面评述了2004年1月至2005年12月间我国环境样品分析各个方面的进展，主要内容包括：概述，大气、水体、土壤和沉积物、生物样品分析，质量控制和质量保证等。引用参考文献967篇。     

Multi-walled carbon nanotubes as a solid-phase extraction adsorbent for the determination of chlorophenols in environmental water samples

Multi-walled carbon nanotubes (MWCNs) are used as adsorbent for solid-phase extraction (SPE) of several chlorophenols (CPs). CPs were adsorbed on MWCNs cartridge, then desorbed with pH 10.0 methanol, finally determined by HPLC. Under the optimized conditions, detection limits of 0.08-0.8 ng mL(-1) were obtained. The method had been applied to analyze the five CPs in tap water and river water.     

煤微孔表面的分形维数及其变化规律的研究

本文利用气体吸附数据确定了各种煤阶煤（从褐煤到无烟煤）和煤焦气化反应过程中微孔表面的分形维数及其变化规律。这有助于进一步认识煤的孔结构特征。     

煤—焦炉气共热解特性的研究：温度的影响

利用高压热天平和１０ｇ固定床反应器考察了温度对兖州烟煤与焦炉气共热解的失重行为、热解产物分布以及脱硫脱氮的影响。随热解温度升高共热解在３００～５５０℃和６００～７００℃间出现明显失重峰。煤焦炉气共热解与加氢热解失重行为相似，均发生热分解反应和加氢反应。在实验温度范围（４５０～６５０℃）内，温度升高有利于提高焦油收率、热解水含量以及脱硫脱氮率，同时半焦收率降低。相同热解条件（压力为３ＭＰａ，终温为６５０℃）下，与煤在氮气气氛下热解相比，煤焦炉气共热解和加氢热解所得半焦收率均降低，焦油收率、热解水及脱硫脱氮率明显增加。与相同总压的加氢热解相比，煤焦炉气共热解半焦和热解水收率增加，焦油收率降低，脱硫率相当且脱氮率降低     

Comparison of slurry sampling and microwave-assisted digestion for calcium, magnesium, iron, copper and zinc determination in fish tissue samples by flame atomic absorption spectrometry

The development of a slurry sampling method for the determination of calcium, copper, iron, magnesium and zinc in fish tissue samples by flame atomic absorption spectrometry is described. In comparison with microwave-assisted digestion, the proposed method is simple, requires short time and eliminates total sample dissolution before analysis. Suspension medium was optimized for each analyte to obtain quantitative recoveries from fish tissue samples without matrix interferences. Nevertheless, iron recoveries higher than 46% were not found. Treatment of samples slurried in nitric acid by microwave irradiation for 15-30 s at 75-285 W permitted to achieve efficient recoveries for calcium, iron, magnesium and zinc. Further improvement in the matrix effects for iron determination was accomplished by the use of an additional step of short microwave-assisted suspension treatment. However, standard addition method was required for calcium and copper determination, being necessary hydrochloric acid as suspension medium for the last one. Although copper could not be determined in the certified reference material using microwave-assisted digestion, the accuracy of the slurry sampling method was verified for all the investigated analytes. Detection limits were 22.8 ± 8.0, 0.884 ± 0.092, 5.07 ± 0.76, 35.5 ± 0.7 and 1.17 ± 0.04 μg g⁻¹ for calcium, copper, iron, magnesium and zinc, respectively. The standard deviations obtained using slurry sampling method and microwave-assisted digestion were not significantly different, and the mean relative standard deviation of the over-all method (n = 3) of the slurry sampling method for different concentration levels was below 12%.