摘要
人类病原菌的识别方法需要快速、可靠、不昂贵和效率。这些需求可以通过振动光谱技术来满足。最常用于细菌检测和识别的方法是傅里叶变换红外光谱(FTIR)。它以红外频率 (4,000-600 cm-1)实现全部或部分细菌细胞的生化扫描。为了最小化数据可变性和放大化学基础上的光谱差异以便光谱解释和分析,记录的光谱必须被转化。下一步用数据降维工具、回归技术和分类方法来分析转化后的光谱。FTIR光谱的化学统计分析是区分细菌属、种和克隆水平的基本技术。基于红外光谱的细菌病原体识别的例子和克隆水平的区分方法现介绍如下。
关键词: 人工神经网络(ANN),细菌病原体检测,化学统计法,傅里叶变换红外光谱(FTIR)。
Current Medicinal Chemistry
Title:Fourier Transform Infrared Spectroscopy (FTIR) as a Tool for the Identification and Differentiation of Pathogenic Bacteria
Volume: 22 Issue: 14
Author(s): Paulina Zarnowiec, Lukasz Lechowicz, Grzegorz Czerwonka and Wiesław Kaca
Affiliation:
关键词: 人工神经网络(ANN),细菌病原体检测,化学统计法,傅里叶变换红外光谱(FTIR)。
摘要: Methods of human bacterial pathogen identification need to be fast, reliable, inexpensive, and time efficient. These requirements may be met by vibrational spectroscopic techniques. The method that is most often used for bacterial detection and identification is Fourier transform infrared spectroscopy (FTIR). It enables biochemical scans of whole bacterial cells or parts thereof at infrared frequencies (4,000-600 cm-1). The recorded spectra must be subsequently transformed in order to minimize data variability and to amplify the chemically-based spectral differences in order to facilitate spectra interpretation and analysis. In the next step, the transformed spectra are analyzed by data reduction tools, regression techniques, and classification methods. Chemometric analysis of FTIR spectra is a basic technique for discriminating between bacteria at the genus, species, and clonal levels. Examples of bacterial pathogen identification and methods of differentiation up to the clonal level, based on infrared spectroscopy, are presented below.
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Cite this article as:
Paulina Zarnowiec, Lukasz Lechowicz, Grzegorz Czerwonka and Wiesław Kaca , Fourier Transform Infrared Spectroscopy (FTIR) as a Tool for the Identification and Differentiation of Pathogenic Bacteria, Current Medicinal Chemistry 2015; 22 (14) . https://dx.doi.org/10.2174/0929867322666150311152800
DOI https://dx.doi.org/10.2174/0929867322666150311152800 |
Print ISSN 0929-8673 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-533X |
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