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用于多层包装中挥发性有机化合物定量测定的多次顶空固相微萃取法

Multiple headspace solid-phase microextraction for the quantitative determination of volatile organic compounds in multilayer packagings.

作者信息

Ezquerro Oscar, Pons Begoña, Tena María Teresa

机构信息

Department of Chemistry, University of La Rioja, C/ Madre de Dios 51, E-26006 Logroño (La Rioja), Spain.

出版信息

J Chromatogr A. 2003 May 30;999(1-2):155-64. doi: 10.1016/s0021-9673(02)01524-8.

Abstract

The theory of multiple headspace solid-phase microextraction (HS-SPME) and a method based on multiple HS-SPME for the quantitative determination of volatile organic compounds (VOCs) in packaging materials is presented. The method allows the direct analysis of solid samples without using organic solvents to extract analytes. Multiple headspace solid-phase microextraction is a stepwise method proposed to eliminate the influence of the sample matrix on the quantitative analysis of solid samples by HS-SPME. Different amounts of packaging and different volumes of standard solution were studied in order to remove a substantial quantity of analytes from the headspace at each extraction and obtain the theoretical exponential decay of the peak area of the four successive extractions and, thus, the total area was calculated from these four extractions. In addition, two fibres were compared: carboxen-polydimethylsiloxane (CAR-PDMS) and divinylbenzene-carboxen-polydimethylsiloxane (DVB-CAR-PDMS), as they showed differences in the linearity of the exponential decay with the number of extractions depending on the compound. The CAR-PDMS fibre was better for the VOCs with a low molecular mass, whereas the DVB-CAR-PDMS fibre was better for the VOCs with a high molecular mass. Finally, the method was characterised in terms of linearity, detection limit and reproducibility and applied to analyse four multilayer packaging samples with different VOCs contents.

摘要

介绍了多顶空固相微萃取(HS-SPME)理论以及基于多顶空固相微萃取的包装材料中挥发性有机化合物(VOCs)定量测定方法。该方法无需使用有机溶剂萃取分析物即可直接分析固体样品。多顶空固相微萃取是一种逐步消除样品基质对HS-SPME固体样品定量分析影响的方法。研究了不同量的包装材料和不同体积的标准溶液,以便在每次萃取时从顶空中去除大量分析物,并获得四次连续萃取峰面积的理论指数衰减,进而计算出这四次萃取的总面积。此外,还比较了两种纤维:碳分子筛-聚二甲基硅氧烷(CAR-PDMS)和二乙烯基苯-碳分子筛-聚二甲基硅氧烷(DVB-CAR-PDMS),因为它们对不同化合物的指数衰减线性随萃取次数的变化存在差异。CAR-PDMS纤维对低分子量的VOCs效果较好,而DVB-CAR-PDMS纤维对高分子量的VOCs效果较好。最后,对该方法的线性、检测限和重现性进行了表征,并应用于分析四种不同VOCs含量的多层包装样品。

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