Dispersive liquid–liquid microextraction and spectrophotometric determination of cobalt in water samples

A new simple and rapid dispersive liquid–liquid microextraction has been applied to preconcentrate trace levels of cobalt as a prior step to its determination by spectrophotometric detection. In this method a small amount of chloroform as the extraction solvent was dissolved in pure ethanol as the disperser solvent, then the binary solution was rapidly injected by a syringe into the water sample containing cobalt ions complexed by 1-(2-pyridylazo)-2-naphthol (PAN). This forms a cloudy solution. The cloudy state was the result of chloroform fine droplets formation, which has been dispersed in bulk aqueous sample. Therefore, Co-PAN complex was extracted into the fine chloroform droplets. After centrifugation (2 min at 5000 rpm) these droplets were sedimented at the bottom of conical test tube (about 100 µL) and then the whole of complex enriched extracted phase was determined by a spectrophotometer at 577 nm. Complex formation and extraction are usually affected by some parameters, such as the types and volumes of extraction solvent and disperser solvent, salt effect, pH and the concentration of chelating agent, which have been optimised for the presented method. Under optimum conditions, the enhancement factor (as the ratio of slope of preconcentrated sample to that obtained without preconcentration) of 125 was obtained from 50 mL of water sample, and the limit of detection (LOD) of the method was 0.5 µg L^?1and the relative standard deviation (RSD, n = 5) for 50 µg L^?1 of cobalt was 2.5%. The method was applied to the determination of cobalt in tap and river water samples.     

Determination of organometallic compounds in surface water and sediment samples with SPME-CGC-ICPMS

Organometal compounds of tin, mercury and lead were simultaneously determined in environmental water and sediment samples by CGC-ICPMS. Instead of classical liquid/liquid extractions, solid phase microextraction was used as sampling technique. In this method, the organometallic compounds arein situ derivatised in the aqueous phase and simultaneously extracted onto a polydimethylsiloxane fiber, so that organic solvents are no longer necessary. The sorbed organometals are subsequently released from the fiber in the GC injection liner by thermal desorption. By sampling from the headspace, only the species of interest are sampled and no interfering matrix components are coextracted. With this new method, derivatisation, extraction, preconcentration and injection into the GC takes only 10 min with a minimum of handling steps. Owing to the very low detection limits (0.13–3.7 ng/1 as metal) only small sample amounts (25 ml of water, 0.5 g of sediment) are needed for one analysis. Finally, SPME is an inexpensive sampling technique that can be used with standard split/splitless injection systems.     

Electrochemical Determination of Lead(II) in Environmental Waters Using a Sulfydryl Modified Covalent Organic Framework by Square Wave Anodic Stripping Voltammetry (SWASV)

A novel sulfhydryl-modified covalent organic framework was designed for the selective determination of lead(II) using square wave anodic stripping voltammetry. The introduction of sulfhydryl groups enhanced the selectivity and sensitivity of the covalent organic framework for analytes. The sulfhydryl-modified covalent organic framework was characterized by scanning electron microscopy, transmission electron microscopy, Fourier transform infrared spectroscopy and X-ray diffraction. Under the optimized conditions, a sulfhydryl-modified covalent organic framework/gold electrode was successfully used for the determination of lead(II) in water samples. The newly developed square wave anodic stripping voltammetry method exhibited wide linearity (0.05 to 20?ng mL^?1, r?=?0.991), a low limit of detection (0.015?ng mL^?1) and good precision, with a relative standard deviation values <5.1%. The limit of detection was lower than 10?ng mL^?1, the level of lead(II) in drinking water permitted by the World Health Organization. The recoveries of three spiked samples ranged from 90.0% to 104.0%, with relative standard deviations <4.9%. Satisfactory reproducibility and good repeatability demonstrated that the newly developed method is very suitable for the detection of lead(II) in real water samples, with significant advantages over existing methods.     

Field‐amplified sample injection combined with capillary electrophoresis for the simultaneous determination of five chlorophenols in water samples

A sensitive method of CZE‐ultraviolet (UV) detection based on the on‐line preconcentration strategy of field‐amplified sample injection (FASI) was developed for the simultaneous determination of five kinds of chlorophenols (CPs) namely 4‐chlorophenol (4‐CP), 2‐chlorophenol (2‐CP), 2,4‐dichlorophenol (2,4‐DCP), 2,4,6‐trichlorophenol (2,4,6‐TCP), and 2,6‐dichlorophenol (2,6‐DCP) in water samples. Several parameters affecting CZE and FASI conditions were systematically investigated. Under the optimal conditions, sensitivity enhancement factors for 4‐CP, 2‐CP, 2,4‐DCP, 2,4,6‐TCP, and 2,6‐DCP were 9, 27, 35, 43, and 43 folds, respectively, compared with the direct CZE, and the baseline separation was achieved within 5 min. Then, the developed FASI‐CZE‐UV method was applied to tap and lake water samples for the five CPs determination. The LODs (S/N = 3) were 0.0018–0.019 µg/mL and 0.0089–0.029 µg/mL in tap water and lake water, respectively. The values of LOQs in tap water (0.006–0.0074 µg/mL) were much lower than the maximum permissible concentrations of 2,4,6‐TCP, 2,4‐DCP, and 2‐CP in drinking water stipulated by World Health Organization (WHO) namely 0.3, 0.04, and 0.01 µg/mL, respectively, and thereby the method was suitable to detect the CPs according to WHO guidelines. Furthermore, the method attained high recoveries in the range of 83.0–119.0% at three spiking levels of five CPs in the two types of water samples, with relative standard deviations of 0.37–8.58%. The developed method was proved to be a simple, sensitive, highly automated, and efficient alternative to CPs determination in real water samples.     

超高效合相色谱-质谱法快速分析食用植物油中常见脂肪酸

建立了超高效合相色谱-质谱(UPC²-MS)快速分析6种食用植物油(玉米油、葵花籽油、大豆油、茶油、菜籽油、花生油)中棕榈酸、硬脂酸、油酸、亚油酸、亚麻酸等5种常见脂肪酸的方法,并比较了这6种食用油中上述5种脂肪酸的含量差异。采用皂化反应对植物油进行前处理,以ACQUITY UPC² BEH 2-EP色谱柱(100 mm×2.1 mm, 1.7 μm)为分析柱,以超临界CO₂-甲醇/乙腈(1:1, v/v)为流动相进行梯度洗脱,流速为0.8 mL/min。在电喷雾负离子模式下进行检测,外标法定量。结果表明:5种脂肪酸标准物质在0.5~100 mg/L范围内呈现良好的线性关系,相关系数为0.9985~0.9998,定量限(S/N≥10)为0.15~0.50 mg/L;在3个添加水平下,样品的加标回收率为89.61%~108.50%;方法重复性的相对标准偏差(RSD)为0.69%~3.01%。该方法简单、快速、分离效果好,无需对脂肪酸样品进行衍生化,已成功地用于玉米油、葵花籽油、橄榄油、茶油、大豆油和花生油等6种食用油中常见脂肪酸含量的测定。     

高效液相色谱-电喷雾串联质谱法检测环境水样中22种抗生素类药物

建立了高效液相色谱-电喷雾串联质谱(HPLC-ESI MS/MS)分析环境水样中22种抗生素类药物的方法。采用HLB固相萃取柱对环境水样中的目标化合物进行富集、净化,然后以6 mL氨水-甲醇(5:95, v/v)溶液洗脱。收集的洗脱液经氮气吹干至1 mL,然后进行HPLC-ESI MS/MS分离分析。色谱流动相A相为甲醇-乙腈(1:1, v/v), B相为0.3%(体积分数)甲酸水溶液(含0.1%(体积分数)甲酸铵,pH 2.9);色谱柱为XTerra MS C18柱。质谱检测采用正离子扫描,多反应监测模式。分别以自来水和污水作为基质,22种抗生素类药物的加标平均回收率分别为54.9%～130%和57.4%～138%,相对标准偏差(n=3)分别为2.85%～28.6%和2.02%～23.2%;方法的检出限为0.05～0.5 ng/L。将建立的方法应用于北京市高碑店湖和小清河水样的分析,结果表明在两个水样中均有部分抗生素类药物检出。     

热分析SDT-2960操作经验介绍

讲述了针对不同性质样品进行热分析仪器SDT 2960测试的操作经验,主要包括样品前期处理、加样量、加样方式等。掌握这些经验能使测试结果更加准确,还能最大限度地减小仪器污染的可能性。     

FI-KR-FAAS空气混合吸附二次气体分隔洗脱法测定海洋生物样中的痕量铅

建立了流动注射（flow injection, FI）空气混合吸附预富集编结反应器（knotted reactor, KR）二次气体分隔洗脱法与火焰原子吸收光谱法（flame atomic absorption spectrum, FAAS）联用测定海洋生物样中的痕量铅。在预富集步骤,空气、络合剂和铅溶液在线混合,空气的引入,大大提高了铅的螯合物在KR内壁的吸附效果。在洗脱前,通入一段空气流,在洗脱过程中,即在非完全洗脱时,加入一段空气流,两段空气流的引入,大大降低了被分析物在洗脱液中的分散,提高了信号响应值,从而提高了浓集系数（enhancement factor, EF）。将空气混合吸附预富集与二次气体分隔洗脱法联用,使得KR吸附富集效果和洗脱效果达到了更高的水平。和微柱的低寿命、高反压相比,KR反压小,耐酸耐碱,寿命几乎无限长,对蠕动泵的要求很低,不易造成溶液渗漏等问题。在洗脱过程进行到第5秒时输入1 s空气流作为间隔,而不是等整个洗脱过程完成以后再输入空气流,此方法的优点是：洗脱完全,而且大大降低了被分析物在洗脱过程中的分散,吸收信号值大大增加。如果单纯地把洗脱时间降到5 s,那么洗脱会非常不完全,也就是没有洗脱干净,在管路中还会残存大量的被分析物,残存的被分析物被带入下一个样品分析中,会对整个实验造成很大的误差,所有的实验数据都将不准,失去数据利用价值。所以完全的洗脱是非常必要的,必须保证一定的洗脱时间。由于随着洗脱过程的进行,洗脱下来的被分析物呈逐渐减小的趋势,在以往洗脱方法中,等到整个洗脱过程全部进行完以后,被分析物在洗脱液中的分散已经相当严重了,导致所得到吸收信号值大大减小。在洗脱过程中插入空气流,即在非完全洗脱时插入空气流,降低了被分析物在洗脱过程中的分散,同时保证了洗脱的完全,大大提高了吸收信号峰值。优化了络合剂种类、浓度和酸度,样品富集时间和流速,空气混合吸附时的空气流速和时间,洗脱前第一次通气时间,预洗脱时间,洗脱过程中第二次通气时间等实验参数。在最佳实验条件下,铅在0.005～0.6 mg·L-1浓度范围内呈现良好的线性关系,铅的检出限（3σ）为2.2 μg·L-1。将新方法与直接火焰原子吸收法、传统的FI-KR空气混合吸附预富集普通洗脱法进行了比较,结果显示本方法的浓集系数更高。将该方法应用于海洋生物样中痕量铅的测定,测得鳝鱼、对虾、虾姑、鲟鱼、舌鳎和贻贝标准中的铅含量为0.34~1.92 μg·g-1;加标量为1.0 μg·g-1时,加标回收率为93.5%~96.4%;相对标准偏差为0.52%~2.94%。用FI-KR-FAAS空气混合吸附预富集,二次气体分隔洗脱法测定海洋生物样中的痕量铅,具有富集效果好,准确度高,精密度好,浓集系数高等优点,分析结果令人满意。     

基于主成分分析的光谱重建训练样本选择方法研究

训练样本构成是影响光谱重建精度的一个重要因素,针对学习型光谱重建算法中训练样本选择问题,提出了一种基于主成分分析的训练样本选择方法。为了保证训练样本与重建样本的相似度,首先根据欧式距离最小原则从待选样本集中选择与重建样本相机响应值相似的样本,并去掉其中的重复样本;然后进行主成分分析;设定阈值筛选各主成分系数较大的样本作为训练样本,最后得到与主成分个数相同的训练样本子集。为验证该方法的有效性,通过在镜头前加载宽带滤色片搭建多通道图像获取系统采集多通道图像信息,将得到的各样本子集用作训练样本,利用伪逆法重建光谱信息,最后将重建的光谱精度与常用的训练样本及训练样本选择方法得到的重建光谱精度进行比较。实验结果表明：提出的方法显著提高了光谱重建的色度精度和光谱精度,优于常用的样本选择方法,能较大程度满足高精度颜色复制要求。     

Synthesis and Characterization of Polymeric Materials from Vegetable Oils

Although the petrochemical polymers have revolutionized the technological development, the intensive use of these materials have contributed to the global pollution. In this context, researches involving ecofriendliness materials are growing up, as well as, a current interest in developing materials from inexpensive and renewable resources, such as vegetable oils. In this work, is described the synthesis of polymeric materials by thermal polymerization from linseed oil (Linum usitatissimum L.) and passion fruit oil (Passiflora edulis) and their characterization by gas chromatographic (GC), Fourier transform infrared (FTIR) spectroscopy, solubility in organic solvents, thermogravimetry (TG), differential scanning calorimetry (DSC) and Raman spectroscopy. The TG curve shows that those polymeric materials present two stages of decomposition. DSC plots of the vegetable oils showed some endothermic and exothermic transitions which are not present in the DSC curves corresponding to oil-based polymers. The Raman spectra of the polymers indicate declining of absorbance in the region of CC stretching (∼1600 cm⁻¹). This absorption was used to estimate the degree of polymerization (79% and 67.5% for linseed and passion fruit oils, respectively).