4.2 Article

LC determination of chloramphenicol in honey using dispersive liquid-liquid microextraction

期刊

CHROMATOGRAPHIA
卷 68, 期 7-8, 页码 629-634

出版社

SPRINGER HEIDELBERG
DOI: 10.1365/s10337-008-0753-9

关键词

column liquid chromatography; dispersive liquid-liquid microextraction; sample preparation; chloramphenicol in honey

资金

  1. Chinese Ministry of Education [208090]
  2. Ministry-of- Education Key Laboratory
  3. Synthesis and Application of Organic Functional Molecules Natural Science Foundation
  4. Hubei University [020-044109, 020091130-ky2006004]

向作者/读者索取更多资源

A novel method, dispersive liquid-liquid microextraction coupled with liquid chromatography-variable wavelength detector (LC-VWD), has been developed for the determination of chloramphenicol (CAP) in honey. A mixture of extraction solvent (30 mu L 1,1,2,2-tetrachloroethane) and dispersive solvent (1.00 mL acetonitrile) were rapidly injected by syringe into a 5.0 mL real sample for the formation of cloudy solution, the analyte in the sample was extracted into the fine droplets of C2H2Cl4. After extraction, phase separation was performed by centrifugation and the enriched analyte in the sedimented phase was determined by LC-VWD. Some important parameters, such as the kind and volume of extraction solvent and dispersive solvent, extraction time, sample solution pH, sample volume and salt effect were investigated and optimized. Under the optimum extraction condition, the method yields a linear calibration curve in the concentration range from 3 to 2,000 mu g kg(-1) for target analyte. The enrichment factor for CAP was 68.2, and the limit of detection (S/N = 3) were 0.6 mu g kg(-1). The relative standard deviation (RSD) for the extraction of 10 mu g kg(-1) of CAP was 4.3% (n = 6). The main advantages of method are high speed, high enrichment factor, high recovery, good repeatability and extraction solvent volume at mu L level. Honey samples were successfully analyzed using the proposed method.

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

4.2
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