4.5 Article

Sequential injection-bead injection-lab-on-valve coupled to high-performance liquid chromatography for online renewable micro-solid-phase extraction of carbamate residues in food and environmental samples

期刊

JOURNAL OF SEPARATION SCIENCE
卷 34, 期 13, 页码 1574-1581

出版社

WILEY-BLACKWELL
DOI: 10.1002/jssc.201100075

关键词

Carbamates; Lab-on-valve; On-line solid-phase extraction; Sequential injection-bead injection

资金

  1. Thailand Research Fund (TRF)
  2. Commission on Higher Education (CHE) [MRG5080259]
  3. The Center for Innovation in Chemistry (PERCH-CIC)
  4. Royal Golden Jubilee (RGJ) Ph. D. program

向作者/读者索取更多资源

A sequential injection-bead injection-lab-on-valve system was hyphenated to HPLC for online renewable micro-solid-phase extraction of carbamate insecticides. The carbamates studied were isoprocarb, methomyl, carbaryl, carbofuran, methiocarb, promecarb, and propoxur. LiChroprep (R) RP-18 beads (25-40 mu m) were employed as renewable sorbent packing in a microcolumn situated inside the LOV platform mounted above the multiposition valve of the sequential injection system. The analytes sorbed by the microcolumn were eluted using 80% acetonitrile in 0.1% acetic acid before online introduction to the HPLC system. Separation was performed on an Atlantis C-18 column (4.6 x 150 mm, 5 mu m) utilizing gradient elution with a flow rate of 1.0 mL/min and a detection wavelength at 270 nm. The sequential injection system offers the means of performing automated handling of sample preconcentration and matrix removal. The enrichment factors ranged between 20 and 125, leading to limits of detection (LODs) in the range of 1-20 mu g/L. Good reproducibility was obtained with relative standard deviations of < 0.7 and 5.4% for retention time and peak area, respectively. The developed method has been successfully applied to the determination of carbamate residues in fruit, vegetable, and water samples.

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