Wichmann Christina, Bocklitz Thomas, Rösch Petra, Popp Jürgen
Leibniz Institute of Photonic Technology Jena - Member of the Research Alliance "Leibniz Health Technologies", Albert-Einstein-Str. 9, 07745 Jena, Germany; Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University Jena, Helmholtzweg 4, 07743 Jena, Germany; Research Campus Infectognostics, Philosophenweg 7, 07743 Jena, Germany.
Leibniz Institute of Photonic Technology Jena - Member of the Research Alliance "Leibniz Health Technologies", Albert-Einstein-Str. 9, 07745 Jena, Germany.
Spectrochim Acta A Mol Biomol Spectrosc. 2021 Mar 5;248:119170. doi: 10.1016/j.saa.2020.119170. Epub 2020 Nov 12.
In recent years, Raman spectroscopy has become an established method to study medical, biological or environmental samples. Since Raman spectroscopy is a phenotypic method, many parameters can influence the spectra. One of these parameters is the concentration of CO, as this never remains stable in nature, but always adjusts itself in a dynamic equilibrium. So, it is obvious that the concentration of CO cannot be controlled but it might have a big impact on the bacteria and bacterial composition in medical samples. When using a phenotypic method like Raman spectroscopy it is also important to know the influence of CO to the dataset. To investigate the influence of CO towards Raman spectra we cultivated E. coli at different concentration of CO since this bacterium is able to switch metabolism from aerobic to microaerophilic conditions. After applying statistic methods small changes in the spectra became visible and it was even possible to observe the change of metabolism in this species according to the concentration of CO.
近年来,拉曼光谱已成为研究医学、生物或环境样品的既定方法。由于拉曼光谱是一种表型方法,许多参数会影响光谱。其中一个参数是一氧化碳的浓度,因为其在自然界中从未保持稳定,而是始终处于动态平衡中自行调整。所以,很明显一氧化碳的浓度无法控制,但它可能会对医学样品中的细菌及细菌组成产生重大影响。在使用拉曼光谱这种表型方法时,了解一氧化碳对数据集的影响也很重要。为了研究一氧化碳对拉曼光谱的影响,我们在不同一氧化碳浓度下培养大肠杆菌,因为这种细菌能够将代谢从有氧条件转换为微需氧条件。应用统计方法后,光谱中的微小变化变得可见,甚至有可能根据一氧化碳浓度观察到该物种代谢的变化。