Institut für Physikalische Chemie, Friedrich-Schiller-Universität, Helmholtzweg 4, 07743 Jena, Germany.
Appl Spectrosc. 2011 Oct;65(10):1116-25. doi: 10.1366/11-06329.
Classification of Raman spectra recorded from single cells is commonly applied to bacteria that exhibit small sizes of approximately 1 to 2 μm. Here, we study the possibility to adopt this classification approach to filamentous bacteria of the genus Streptomyces. The hyphae can reach extensive lengths of up to 35 μm, which can correspond to a single cell identified in light microscopy. The classification of Raman bulk spectra will be demonstrated. Here, ultraviolet resonance Raman (UV RR) spectroscopy is chosen to classify six Streptomyces species by the application of a tree-like classifier. For each knot of the hierarchical classifier, estimated classification accuracies of over 94% are accomplished. In contrast to the classification of bulk spectra, the classification of single-cell spectra requires a homogenous substance distribution within the cell. Consequently, the bacterial cell chemistry can be represented by one individual spectrum. This requirement is not fulfilled when different spectra are processed from different locations within the cell. Bacteria of the investigated genus Streptomyces exhibit, besides the normal bacterial spectra, lipid-rich spectra. The occurrence of lipid enrichment depends on culture age and nutrition availability. With this study, we investigate the cell substance distribution, especially of lipid-rich fractions. The classification utilizing a tree-like classifier is also applied to the Streptomyces single-cell spectra, resulting in classification accuracies between 80 and 93% for the investigated Streptomyces species.
对从单细胞中记录的拉曼光谱进行分类通常适用于大小约为 1 到 2 μm 的细菌。在这里,我们研究了将这种分类方法应用于链霉菌属丝状细菌的可能性。菌丝可以达到长达 35 μm 的长度,这相当于在光学显微镜下识别的单个细胞。将展示拉曼体光谱的分类。在这里,选择紫外共振拉曼 (UV RR) 光谱通过应用树状分类器对六种链霉菌进行分类。对于层次分类器的每个节点,都实现了超过 94%的估计分类准确性。与体光谱的分类相比,单细胞光谱的分类需要在细胞内均匀分布物质。因此,细菌细胞化学可以用一个单独的光谱来表示。当从细胞内的不同位置处理不同的光谱时,就无法满足这一要求。所研究的链霉菌属的细菌除了具有正常的细菌光谱外,还具有富含脂质的光谱。脂质富集的发生取决于培养年龄和营养供应情况。通过这项研究,我们研究了细胞物质的分布,特别是富含脂质的部分。利用树状分类器进行的分类也应用于链霉菌单细胞光谱,对于所研究的链霉菌种,分类准确性在 80%到 93%之间。