4.5 Article

Development of an ionic liquid-based ultrasonic-assisted liquid-liquid microextraction method for sensitive determination of biogenic amines: Application to the analysis of octopamine, tyramine and phenethylamine in beer samples

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.jchromb.2011.01.018

关键词

Ionic liquids; Ultrasound-assisted liquid-liquid microextraction; Biogenic amines; High-performance liquid chromatography-fluorescence detection

资金

  1. National Natural Science Foundation of China [20805040]
  2. Program for Science & Technology Innovation Talents in Universities of Henan Province [2010HASTIT025]
  3. Excellent Youth Foundation of He'nan Scientific Committee [104100510020]

向作者/读者索取更多资源

A simple and efficient method, ionic liquid-based ultrasound-assisted liquid-liquid microextraction, has been developed for the determination of three biogenic amines including octopamine (OCT), tyramine (TYR) and phenethylamine (PHE). Fluorescence probe 2, 6-dimethy1-4-quinolinecarboxylic acid N-hydroxysuccinimide ester was applied for derivatization of biogenic amines and high-performance liquid chromatography coupled with fluorescence detection was used for the determination of the derivatives. The factors affecting the extraction efficiency, such as the type and volume of ionic liquid, ultrasonication time and centrifugation time have been investigated in detail. Under the optimum conditions, linearity of the method was observed in the range of 0.5-50 mu g mL(-1) for OCT and TYR, and 0.025-2.5 mu g mL(-1) for PHE, respectively, with correlation coefficients (gamma) > 0.996. The limits of detection ranged from 0.25-50 ng mL(-1) (S/N = 3). The spiked recoveries of three target compounds in beer samples were in the range of 90.2-114%. As a result, this method has been successfully applied for the sensitive determination of OCT, TYR and PHE in beer samples. (C) 2011 Elsevier B.V. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据