Department of Chemistry, National Dong Hwa University, Hualien, Taiwan.
Clin Chem. 2010 Apr;56(4):525-36. doi: 10.1373/clinchem.2009.138867. Epub 2010 Feb 18.
Mass spectrometry (MS) is a suitable technology for microorganism identification and characterization.
This review summarizes the MS-based methods currently used for the analyses of pathogens. Direct analysis of whole pathogenic microbial cells using MS without sample fractionation reveals specific biomarkers for taxonomy and provides rapid and high-throughput capabilities. MS coupled with various chromatography- and affinity-based techniques simplifies the complexity of the signals of the microbial biomarkers and provides more accurate results. Affinity-based methods, including those employing nanotechnology, can be used to concentrate traces of target microorganisms from sample solutions and, thereby, improve detection limits. Approaches combining amplification of nucleic acid targets from pathogens with MS-based detection are alternatives to biomarker analyses. Many data analysis methods, including multivariate analysis and bioinformatics approaches, have been developed for microbial identification. The review concludes with some current clinical applications of MS in the identification and typing of infectious microorganisms, as well as some perspectives.
Advances in instrumentation (separation and mass analysis), ionization techniques, and biological methodologies will all enhance the capabilities of MS for the analysis of pathogens.
质谱(MS)是一种适合微生物鉴定和特征分析的技术。
本文综述了目前用于分析病原体的基于 MS 的方法。直接对未经样品分离的整个致病微生物细胞进行 MS 分析,可揭示用于分类的特异性生物标志物,并提供快速和高通量的能力。MS 与各种基于色谱和亲和的技术相结合,可简化微生物生物标志物信号的复杂性,并提供更准确的结果。亲和方法,包括采用纳米技术的方法,可用于从样品溶液中浓缩痕量的目标微生物,从而提高检测限。将核酸靶标从病原体中的扩增与基于 MS 的检测相结合的方法是生物标志物分析的替代方法。已经开发了许多数据分析方法,包括多变量分析和生物信息学方法,用于微生物鉴定。本文还对 MS 在鉴定和分型传染性微生物方面的一些当前临床应用进行了总结,并提出了一些展望。
仪器(分离和质量分析)、离子化技术和生物学方法的进步都将增强 MS 分析病原体的能力。