García-Timermans Cristina, Rubbens Peter, Kerckhof Frederiek-Maarten, Buysschaert Benjamin, Khalenkow Dmitry, Waegeman Willem, Skirtach Andre G, Boon Nico
CMET, Center for Microbial Technology and Ecology, Department of Biotechnology, Ghent University, Gent, Belgium.
KERMIT, Department of Data Analysis and Mathematical Modelling, Ghent University, Gent, Belgium.
J Microbiol Methods. 2018 Aug;151:69-75. doi: 10.1016/j.mimet.2018.05.027. Epub 2018 Jun 14.
Raman spectroscopy has gained relevance in single-cell microbiology for its ability to detect bacterial (sub)populations in a non-destructive and label-free way. However, the Raman spectrum of a bacterium can be heavily affected by abiotic factors, which may influence the interpretation of experimental results. Additionally, there is no publicly available standard for the annotation of metadata describing sample preparation and acquisition of Raman spectra. This article explores the importance of sample manipulations when measuring bacterial subpopulations using Raman spectroscopy. Based on the results of this study and previous findings in literature we propose a Raman metadata standard that incorporates the minimum information that is required to be reported in order to correctly interpret data from Raman spectroscopy experiments. Its aim is twofold: 1) mitigate technical noise due to sample preparation and manipulation and 2) improve reproducibility in Raman spectroscopy experiments studying microbial communities.
拉曼光谱因其能够以非破坏性和无标记的方式检测细菌（亚）群体，在单细胞微生物学中具有重要意义。然而，细菌的拉曼光谱可能会受到非生物因素的严重影响，这可能会影响实验结果的解释。此外，目前还没有公开可用的标准来注释描述拉曼光谱样品制备和采集的元数据。本文探讨了在使用拉曼光谱测量细菌亚群体时样品处理的重要性。基于本研究的结果和文献中的先前发现，我们提出了一种拉曼元数据标准，该标准纳入了为正确解释拉曼光谱实验数据而需要报告的最低信息。其目的有两个：1）减轻由于样品制备和处理导致的技术噪声；2）提高研究微生物群落的拉曼光谱实验的可重复性。
