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超声辅助分散液液微萃取-气相色谱-质谱法测定废水中环状和线性硅氧烷。

Determination of cyclic and linear siloxanes in wastewater samples by ultrasound-assisted dispersive liquid-liquid microextraction followed by gas chromatography-mass spectrometry.

机构信息

Labaqua S.A., C/Dracma 16-18, Pol. Ind. Las Atalayas, 03114 Alicante, Spain.

Departamento de Química Analítica, Nutrición y Bromatología e Instituto de Materiales, Universidad de Alicante, Apdo. 99, 03080 Alicante, Spain.

出版信息

Talanta. 2014 Mar;120:191-7. doi: 10.1016/j.talanta.2013.11.042. Epub 2013 Dec 2.

Abstract

A fast, simple and environmentally friendly ultrasound-assisted dispersive liquid-liquid microextraction (USA-DLLME) procedure has been developed to preconcentrate eight cyclic and linear siloxanes from wastewater samples prior to quantification by gas chromatography-mass spectrometry (GC-MS). A two-stage multivariate optimization approach has been developed employing a Plackett-Burman design for screening and selecting the significant factors involved in the USA-DLLME procedure, which was later optimized by means of a circumscribed central composite design. The optimum conditions were: extractant solvent volume, 13 µL; solvent type, chlorobenzene; sample volume, 13 mL; centrifugation speed, 2300 rpm; centrifugation time, 5 min; and sonication time, 2 min. Under the optimized experimental conditions the method gave levels of repeatability with coefficients of variation between 10 and 24% (n=7). Limits of detection were between 0.002 and 1.4 µg L(-1). Calculated calibration curves gave high levels of linearity with correlation coefficient values between 0.991 and 0.9997. Finally, the proposed method was applied for the analysis of wastewater samples. Relative recovery values ranged between 71 and 116% showing that the matrix had a negligible effect upon extraction. To our knowledge, this is the first time that combines LLME and GC-MS for the analysis of methylsiloxanes in wastewater samples.

摘要

一种快速、简单且环保的超声辅助分散液液微萃取(USA-DLLME)方法已被开发用于在使用气相色谱-质谱(GC-MS)定量之前从废水样品中预浓缩八种环状和线性硅氧烷。采用 Plackett-Burman 设计对 USA-DLLME 过程中涉及的重要因素进行了两步多变量优化筛选和选择,随后通过限定中心复合设计进行了优化。最佳条件为:萃取溶剂体积 13 μL;溶剂类型,氯苯;样品体积,13 mL;离心速度,2300 rpm;离心时间,5 min;超声时间,2 min。在优化的实验条件下,该方法的重复性水平良好,变异系数在 10%至 24%之间(n=7)。检测限在 0.002 至 1.4 µg L(-1)之间。计算的校准曲线具有很高的线性度,相关系数值在 0.991 至 0.9997 之间。最后,该方法被应用于废水样品的分析。相对回收率在 71%至 116%之间,表明基质对萃取的影响可以忽略不计。据我们所知,这是首次将 LLME 和 GC-MS 结合用于废水样品中甲基硅氧烷的分析。

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