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顶空液相微萃取-气相色谱-质谱联用测定软饮料和环境水样中山梨酸和苯甲酸的性能研究

Study on the performance of the headspace liquid-phase microextraction, gas chromatography-mass spectrometry in the determination of sorbic and benzoic acids in soft drinks and environmental water samples.

作者信息

Farahani Hadi, Ganjali Mohammad Reza, Dinarvand Rassoul, Norouzi Parviz

机构信息

Center of Excellence in Electrochemistry, Faculty of Chemistry, University of Tehran, P.O. Box 14155-6455, Tehran, Iran.

出版信息

J Agric Food Chem. 2009 Apr 8;57(7):2633-9. doi: 10.1021/jf802981z.

Abstract

A simple, efficient and virtually solventless headspace liquid-phase microextraction (HS-LPME) technique, combined with gas chromatography-mass spectrometry (GC-MS), was developed for the analysis of sorbic acid (SA) and benzoic acid (BA) in soft drinks and environmental water samples. A microdrop of organic solvent was suspended from the tip of a microsyringe needle over the headspace of the stirred sample solution, containing the analytes for a desired time. The microdrop was then retracted into the microsyringe and directly injected into the GC-MS, without any further pretreatment. Initially, microextraction efficiency factors were optimized, and the optimum experimental conditions found were as follows: 2.5 microL toluene microdrop exposed for 20 min over the headspace of a 6.5 mL aqueous sample (45 degrees C), containing 3 M of NaCl with pH of 1.5 and stirred at 1000 rpm. Under the optimized extraction conditions, preconcentration factors of 154 and 198, limits of detection of 0.3 and 0.1 microg L(-1) (S/N=3) with dynamic linear ranges of 1-500 and 0.5-500 microg L(-1), were obtained for SA and BA respectively. A good repeatability (RSD<10.3%, n=8) and satisfactory linearity (r(2) >or= 0.99) of results were achieved. The accuracy of the method was tested by the relative recovery experiments on spiked samples, with results ranging from 90 to 113%. The method proved to be rapid and cost-effective and is a green procedure for screening purposes.

摘要

本文开发了一种简单、高效且几乎无溶剂的顶空液相微萃取(HS-LPME)技术,并将其与气相色谱-质谱联用(GC-MS),用于分析软饮料和环境水样中的山梨酸(SA)和苯甲酸(BA)。将一小滴有机溶剂悬挂在微量注射器针头尖端,置于搅拌的样品溶液顶空上方,使分析物在其中保持所需时间。然后将微滴抽回微量注射器,无需进一步预处理,直接注入GC-MS。首先,对微萃取效率因素进行了优化,得到的最佳实验条件如下:在6.5 mL水样(45℃)的顶空上方,暴露2.5 μL甲苯微滴20分钟,该水样含有3 M NaCl,pH为1.5,搅拌速度为1000 rpm。在优化的萃取条件下,SA和BA的预富集因子分别为154和198,检测限分别为0.3和0.1 μg L⁻¹(S/N = 3),动态线性范围分别为1 - 500和0.5 - 500 μg L⁻¹。结果具有良好的重复性(RSD < 10.3%,n = 8)和令人满意的线性(r²≥0.99)。通过对加标样品的相对回收率实验测试了该方法的准确性,结果在90%至113%之间。该方法被证明快速且经济高效,是一种用于筛选目的的绿色方法。

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