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Liquid phase microextraction applications in food analysis   总被引:2,自引:0,他引:2  
Over the last years, liquid-phase microextraction (LPME) in its different application modes (single drop microextraction, dispersive liquid-liquid microextraction and hollow fiber-LPME) has been increasingly applied for the extraction of both inorganic and organic analytes from different matrices. Its advantages over conventional extraction procedures (simplicity, effectiveness, rapidity and low consumption of organic solvents) has also attracted its application in the complex food analysis field, in which it has clearly provided good and challenging results. A comprehensive review dealing with those articles published since its introduction till the end of March 2011 is presented, offering also a critical vision of the analytical potential of LPME for the analysis of foods.  相似文献   
2.
Polychlorinated biphenyls (PCBs) in sludge are usually extracted by a technique such as Soxhlet with subsequent fractionation prior to long GC runs using GC-ECD or GC-HRMS. In this study, the extraction of selected chlorinated biphenyls (CBs) from a spiked sludge sample by three rapid techniques, i.e. ultrasonic (USE), pressurised-liquid (PLE), and microwave-assisted (MAE) extraction using a domestic microwave, was studied, with subsequent direct GC-ECD, GC-MS, or GC x GC-microECD analysis of the extracts. The main goal was to select an appropriate, and miniaturised, extraction method after only a brief optimisation and demonstrate the power of GC x GC analysis of dirty extracts. For PLE similar CB recoveries were found when extracting with either n-hexane or n-hexane/acetone (1/1). For USE and MAE, n-hexane/acetone (1/1) was the preferred extraction solvent. USE gave the best recoveries (80-95%; except 130% for CB 105). The only clean-up needed prior to GC-MS or GC x GC-gECD analysis was the removal of sulphur-containing compounds. GC-ECD was not suitable for these dirty extracts. The lowest LODs for the CBs (20 fg or 0.1 ng/g sludge) were found when combining USE and GC x GC-microECD, because of the powerful extraction, high separation power and excellent detectability provided by this technique.  相似文献   
3.
建立了快速同时测定纺织品中UV-350,UV-320,UV-328和UV-327 4种苯并三唑类紫外稳定剂(BUVSs)的超声提取/超高效液相色谱-串联质谱(USE-UPLC-MS/MS)分析方法。样品经正己烷饱和的乙腈超声波提取后,采用Eclipse Plus C18柱(2.1 mm×50 mm,1.8μm)分离,甲醇-0.01 mol/L甲酸铵水溶液为流动相梯度洗脱,电喷雾离子源电离,正离子多反应监测模式进行定性和定量分析,外标法定量。结果表明,4种BUVSs的线性相关系数(r2)均大于0.99,检出限为0.006 3~0.024 mg/kg,定量下限为0.021~0.081 mg/kg。加标回收率为80.0%~102.9%,相对标准偏差(RSD)为1.2%~9.9%。将该方法应用于纺织品中BUVSs的分析测定,结果令人满意。  相似文献   
4.
本文建立了活性污泥中三类12种抗生素的高效液相色谱电喷雾串联质谱(HPLC-ESI-MS/MS)检测方法。将活性污泥样品经乙腈与EDTA-Mcllvaine缓冲溶液超声萃取,采用串联固相萃取柱处理样品中的目标化合物,质谱检测采用正离子扫描,选择反应监测模式12种抗生素类药物的加标回收率为63.17%~102.83%,相对标准偏差(n=6)1.28%~9.30%,方法的检出限为0.11~1.15μg/kg。将建立的方法应用于石河子市某污水处理厂活性污泥中12种抗生素的残留分析,结果表明:除洛美沙星(LOM)外,其他抗生素均被检出;磺胺类、喹诺酮类及四环素类抗生素总浓度分别为:50.00μg/kg、148.94μg,/kg及247.08μg/kg。说明该方法的选择性强、灵敏度高、重现性较好,可满足活性污泥中抗生素类药物残留检测的要求。  相似文献   
5.
The purpose of this study was to determine the heavy metal (HM: Cd, Cr, Cu, Ni, Pb, Zn, and Hg) content in particular chemical fractions (forms) of sewage sludge with different characteristics (primary and dewatered sludge) using conventional (CSE) and ultrasound-assisted (USE) BCR sequential extraction methods (Community Bureau of Reference, now the Standards, Measurements and Testing Programme). The concentrations of HMs were determined using inductively coupled plasma optical spectrometry (ICP-OES). Only mercury was assayed with cold vapor atomic absorption spectrometry (CVAAS). Ultrasound treatment was conducted in the ultrasonic bath (Sonic 5, Polsonic). The optimal sonication time (30 min) was determined using ERM-CC144 (Joint Research Center; JCR) certified reference material. The conducted experiment revealed that the use of ultrasound waves shortened the extraction time to 4 h and 30 min (Stages I to III). The recoveries (RM) of heavy metals ranged from 62.8% to 130.2% (CSE) and from 79.8% to 135.7% (USE) for primary sludge, and from 87.2% to 113.2% (CSE) and from 87.8% to 112.0% (USE) for dewatered sludge. The only exception was Hg in dewatered sludge. The conducted research revealed minor differences in the concentrations and fractionation patterns for Cd, Ni, and Zn extracted from sludge samples by the tested methods. However, it was confirmed that the above findings do not significantly affect the results of a potential ecological risk assessment (with minor exceptions for Cd and Zn in the primary sludge), which is extremely essential for the natural use of sludge, and especially dewatered sludge (the final sludge). The shorter extraction time and lower energy consumption prove that ultrasound-assisted extraction is a fast and simple method for HM fractionation, and that it provides an alternative to the conventional procedure. Therefore, it can be considered a “green method” for the assessment of the bioavailability and mobility of heavy metals in solid samples.  相似文献   
6.
用例需求分析技术的应用   总被引:2,自引:0,他引:2  
以问卷调查系统的开发为背景,介绍使用用例的需求管理和分析技术,以及利用UML工具建立用例模型的方法和过程,分析了在项目过程中如何进行用例划分、用例描述等问题,并分析用例建模的优势和问题。  相似文献   
7.
A comparative study of ultrasound-assisted extraction (USE) with the mixture pentane:ether (1:2) and hydrodistillation (HD) with the same trapping mixture is presented for the isolation of volatile compounds from two unifloral honeys of Robinia pseudoacacia L. and Castanea sativa L. All HD isolates contained many thermally derived artefacts (especially phenylacetaldehyde with lower percentages of furfural, cis- and trans-linalool oxides and others). USE method gave the most representative profile of all honey volatiles (without artefacts). In addition, USE enabled extraction of low molecular weight semivolatile markers (especially benzoic, vanillic and phenylacetic acids) that were not extracted by HD. In this regard, low percentage of benzoic acid (0.7–7.4%), vanillic acid (0.0–1.6%) and phenylacetic acid (0.5–4.1%) was determined in Rp USE extracts, while Cs USE extracts contained phenylacetic acid (20.2–23.5%) as the major constituent with low percentage of benzoic acid (2.5–5.5%).  相似文献   
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