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Correlated Imaging with C_(60)-SIMS and Confocal Raman Microscopy: Visualization of Cell-Scale Molecular Distributions in Bacterial Biofilms

机译:C_(60)-SIMS和共聚焦拉曼显微镜的相关成像:细菌生物膜中细胞规模分子分布的可视化。

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摘要

Secondary ion mass spectrometry (SIMS) and confocal Raman microscopy (CRM) are combined to analyze the chemical composition of cultured Pseudomonas aeruginosa biofilms, providing complementary chemical information for multiple analytes within the sample. Precise spatial correlation between SIMS and CRM images is achieved by applying a chemical microdroplet array to the sample surface which is used to navigate the sample, relocate regions of interest, and align image data. CRM is then employed to nondestructively detect broad molecular constituent classes--including proteins, carbohydrates, and, for the first time, quinolone signaling molecules--in Pseudomonas-derived biofilms. Subsequent SIMS imaging at the same location detects quinolone distributions in excellent agreement with the CRM, discerns multiple quinolone species which differ slightly in mass, resolves subtle differences in their distributions, and resolves ambiguous compound assignments from CRM by determining specific molecular identities via in situ tandem MS.
机译:结合二次离子质谱(SIMS)和共焦拉曼显微镜(CRM)来分析培养的铜绿假单胞菌生物膜的化学组成,从而为样品中的多种分析物提供补充的化学信息。 SIMS和CRM图像之间的精确空间相关性是通过将化学微滴阵列应用于样品表面来实现的,该化学微滴阵列用于导航样品,重定位目标区域和对齐图像数据。 CRM随后被用于无损检测假单胞菌来源的生物膜中的广泛分子组成类别-包括蛋白质,碳水化合物以及首次喹诺酮信号分子。随后在相同位置进行的SIMS成像可检测到与CRM高度吻合的喹诺酮分布,辨别质量稍有不同的多种喹诺酮种类,解决其分布中的细微差异,并通过原位串联确定特定的分子身份来解决CRM中的歧义化合物分配多发性硬化症。

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