4.7 Article

Study of sample preparation for quantitative analysis of amino acids in human sweat by liquid chromatography-tandem mass spectrometry

期刊

TALANTA
卷 146, 期 -, 页码 310-317

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.talanta.2015.07.066

关键词

Sweat; Amino acid; Sample preparation; Biomarker; Liquid chromatography; Mass spectrometry

资金

  1. Spanish Ministerio de Economia y Competitividad (MEC)
  2. Junta de Andalucia
  3. FEDER program [CTQ2012-37428, FQM-1602]
  4. MICINN for a Ramon y Cajal Contract [RYC-2009-03921]

向作者/读者索取更多资源

The determination of physiological levels of amino acids is important to aid in the diagnosis and treatment of several diseases and nutritional status of individuals. Amino acids are frequently determined in biofluids such as blood (serum or plasma) and urine; however, there are less common biofluids with different concentration profiles of amino acids that could be of interest. One of these biofluids is sweat that can be obtained in a non-invasive manner and is characterized by low complex composition. The analysis of amino acids in human sweat requires the development of sample preparation strategies according to the sample matrix and small collected volume. The influence of sample preparation on the quantitative analysis of amino acids in sweat by LC-MS/MS has been assessed through a comparison between two strategies: dilution of sweat and centrifugal microsolid-phase extraction (c-mu SPE). In both cases, several dilution factors were assayed for in-depth knowledge of the matrix effects, and the use of c-mu SPE provided the best results in terms of accuracy. The behavior of the target analytes was a function of the dilution factor, thus providing a pattern for sample preparation that depended on the amino acid to be determined. The concentration of amino acids in sweat ranges between 6.20 ng mL(-1) (for homocysteine) and 259.77 mu g mL(-1) (for serine) with precision, expressed as relative standard deviation, within 1.1-21.4%. (C) 2015 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

4.7
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