Suppr超能文献

无培养条件下的细菌拉曼光谱研究。

Cultivation-Free Raman Spectroscopic Investigations of Bacteria.

机构信息

Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University Jena, Helmholtzweg 4, 07743 Jena, Germany; InfectoGnostics Research Campus Jena, Philosophenweg 7, 07743 Jena, Germany.

InfectoGnostics Research Campus Jena, Philosophenweg 7, 07743 Jena, Germany; Leibniz Institute of Photonic Technology, Albert-Einstein-Straße 9, 07745 Jena, Germany.

出版信息

Trends Microbiol. 2017 May;25(5):413-424. doi: 10.1016/j.tim.2017.01.002. Epub 2017 Feb 7.

Abstract

Raman spectroscopy is currently advertised as a hot and ambitious technology that has all of the features needed to characterize and identify bacteria. Raman spectroscopy is rapid, easy to use, noninvasive, and it could complement established microbiological and biomolecular methods in the near future. To bring this vision closer to reality, ongoing research is being conducted on spectral fingerprinting. This can yield a wealth of information, from even single bacteria from various habitats which can be further improved by combining Raman spectroscopy with methods such as stable isotope probing to elucidate microbial interactions. In conjunction with extensive statistical analysis, Raman spectroscopy will allow identification of (non)pathogenic bacteria at different taxonomic levels.

摘要

拉曼光谱目前被宣传为一种热门且有前景的技术,它具有对细菌进行特征描述和识别的所有功能。拉曼光谱快速、易于使用、非侵入性,并且在不久的将来可能会补充现有的微生物学和生物分子方法。为了使这一愿景更加接近现实,目前正在进行光谱指纹识别的研究。即使是从各种生境中分离出来的单个细菌,也可以通过将拉曼光谱与稳定同位素探测等方法相结合,进一步揭示微生物的相互作用,从而获得丰富的信息。结合广泛的统计分析,拉曼光谱将允许在不同的分类学水平上识别(非)致病性细菌。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验