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利用离子选择电极阵列获得的多模态化学图像对氨基酸和寡肽进行分类。

Classification of amino acids and oligopeptides with the use of multi-mode chemical images obtained with ion selective electrode array.

机构信息

Warsaw University of Technology, Faculty of Chemistry, Warsaw, Poland.

出版信息

Anal Chim Acta. 2011 Aug 5;699(1):26-32. doi: 10.1016/j.aca.2011.05.013. Epub 2011 May 17.

DOI:10.1016/j.aca.2011.05.013
PMID:21704754
Abstract

The analysis of amino acids and oligopeptides as important bioanalytes is a significant task in medical diagnostics and proteomic research and currently it is based on chromatographic and electrophoretic methods. In this paper, an approach based on sensor array coupled with titration is proposed for effective recognition of 5 amino acids and 4 oligopeptides. It is shown, that the increase of information gained during measurements of sensors' signals in various pH allows for capturing more data on interaction of amino acids and oligopeptides with various polymeric membranes of potentiometric electrodes used in the array, and that leads to the lowering of classification errors in partial least squares analysis.

摘要

分析氨基酸和寡肽作为重要的生物分析物是医学诊断和蛋白质组学研究中的一项重要任务,目前它基于色谱和电泳方法。在本文中,提出了一种基于传感器阵列与滴定相结合的方法,用于有效识别 5 种氨基酸和 4 种寡肽。结果表明,在不同 pH 值下测量传感器信号时增加信息量,可以获取更多关于氨基酸和寡肽与传感器阵列中使用的各种电位电极的聚合物膜相互作用的数据,这可以降低偏最小二乘分析中的分类错误。

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