Kloß Sandra, Rösch Petra, Pfister Wolfgang, Kiehntopf Michael, Popp Jürgen
Institute of Physical Chemistry and Abbe Center of Photonics, University of Jena , Helmholtzweg 4, D-07743 Jena, Germany.
Anal Chem. 2015 Jan 20;87(2):937-43. doi: 10.1021/ac503373r. Epub 2014 Dec 30.
The identification of pathogens in ascitic fluid is standardly performed by ascitic fluid culture, but this standard procedure often needs several days. Additionally, more than half of the ascitic fluid cultures are negative in case of suspected spontaneous bacterial peritonitis (SBP). It is therefore important to identify and characterize the causing pathogens since not all of them are covered by the empirical antimicrobial therapy. The aim of this study is to show that pathogen identification in ascitic fluid is possible by means of Raman microspectroscopy and chemometrical evaluation with the advantage of strongly increased speed. Therefore, a Raman database containing more than 10000 single-cell Raman spectra of 34 bacterial strains out of 13 different species was built up. The performance of the used statistical model was validated with independent bacterial strains, which were grown in ascitic fluid.
腹水病原体的鉴定通常通过腹水培养来进行,但这种标准程序通常需要数天时间。此外,在疑似自发性细菌性腹膜炎(SBP)的情况下,超过一半的腹水培养结果为阴性。因此,识别和鉴定致病病原体很重要,因为并非所有病原体都能被经验性抗菌治疗所覆盖。本研究的目的是表明,利用拉曼光谱和化学计量学评估可以实现腹水中病原体的快速鉴定。因此,建立了一个包含13个不同物种中34种细菌菌株的10000多个单细胞拉曼光谱的拉曼数据库。使用独立的在腹水中生长的细菌菌株对所采用统计模型的性能进行了验证。