One of the potential applications of surface-enhanced Raman spectroscopy (SERS) is the detection of biological compounds and microorganisms. Here we demonstrate that SERS coupled with principal component analysis (PCA) serves as a perfect method for determining the taxonomic affiliation of bacteria at the strain level. We demonstrate for the first time that it is possible to distinguish different genoserogroups within a single species, Listeria monocytogenes, which is one of the most virulent foodborne pathogens and in some cases contact with which may be fatal. We also postulate that it is possible to detect additional proteins in the L. monocytogenes cell envelope, which provide resistance to benzalkonium chloride and cadmium. A better understanding of this infectious agent could help in selecting the appropriate pharmaceutical product for enhanced treatment.

中文翻译：

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细菌的菌株级分型和鉴定-一种用于SERS活性等离子体纳米结构的新方法

表面增强拉曼光谱（SERS）的潜在应用之一是生物化合物和微生物的检测。在这里，我们证明SERS结合主成分分析（PCA）是确定菌株水平上细菌分类学隶属关系的理想方法。我们首次证明，有可能区分单个物种中的不同基因组，单核细胞增生利斯特氏菌，它是最强的食源性病原体之一，在某些情况下接触可能致命。我们还假定有可能在单核细胞增生李斯特氏菌中检测其他蛋白质细胞膜，对苯扎氯铵和镉具有抗性。对这种传染原的更好理解可能有助于选择合适的药物产品以进行增强治疗。