4.6 Article

Automated system for extraction and instantaneous analysis of millimeter-sized samples

期刊

RSC ADVANCES
卷 4, 期 21, 页码 10693-10701

出版社

ROYAL SOC CHEMISTRY
DOI: 10.1039/c3ra48023b

关键词

-

资金

  1. National Science Council of Taiwan
  2. National Chiao Tung University
  3. Aiming for the Top University Program of the National Chiao Tung University
  4. Ministry of Education, Taiwan

向作者/读者索取更多资源

Adequate sample treatment is critical when employing mass spectrometry (MS) in the analyses of complex biological matrices. Despite various improvements, it is generally difficult to automate the process of preparing solid biological samples for MS analysis. Here we demonstrate a facile approach for automation of the whole analysis (from an untreated sample to the final result). The proposed platform enables disruption and extraction of relatively small samples (individual fruit flies, fragments of tea leaves, powdered drug sampled with a cotton bud), and almost simultaneous analysis of the obtained extract within less than 10 min, and with very little intervention of the analyst. The operation is straightforward: once a sample is placed in the sample chamber, the analyst only needs to press a button on the touch screen of the user interface. The programmed open-source electronic device triggers addition of a small amount of solvent, and subsequent mechanical disruption/extraction of the specimen under controlled conditions (thermostated chamber). A small volume of the extract is directed to the ion source of the mass spectrometer incorporating a Venturi pump. During the operation of the instrument, fluorescence intensities (excitation wavelength windows: 320-380 and 460-500 nm) as well as MS extracted ion currents are recorded simultaneously. In the case of fruit fly samples, similar to 70 signals were recorded in both modes while the analysis of green tea leaves yielded similar to 30 signals. The resulting data reveal time-resolved extraction profiles characterizing every sample.

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

4.6
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