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首页> 美国卫生研究院文献>Journal of Pathogens >Proof of Principle for a Real-Time Pathogen Isolation Media Diagnostic: The Use of Laser-Induced Breakdown Spectroscopy to Discriminate Bacterial Pathogens and Antimicrobial-Resistant Staphylococcus aureus Strains Grown on Blood Agar
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Proof of Principle for a Real-Time Pathogen Isolation Media Diagnostic: The Use of Laser-Induced Breakdown Spectroscopy to Discriminate Bacterial Pathogens and Antimicrobial-Resistant Staphylococcus aureus Strains Grown on Blood Agar

机译：实时病原菌分离介质诊断的原理证明：使用激光诱导击穿光谱技术来区分血琼脂上生长的细菌病原菌和抗药性金黄色葡萄球菌菌株

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Laser-Induced Breakdown Spectroscopy (LIBS) is a rapid, in situ, diagnostic technique in which light emissions from a laser plasma formed on the sample are used for analysis allowing automated analysis results to be available in seconds to minutes. This speed of analysis coupled with little or no sample preparation makes LIBS an attractive detection tool. In this study, it is demonstrated that LIBS can be utilized to discriminate both the bacterial species and strains of bacterial colonies grown on blood agar. A discrimination algorithm was created based on multivariate regression analysis of spectral data. The algorithm was deployed on a simulated LIBS instrument system to demonstrate discrimination capability using 6 species. Genetically altered Staphylococcus aureus strains grown on BA, including isogenic sets that differed only by the acquisition of mutations that increase fusidic acid or vancomycin resistance, were also discriminated. The algorithm successfully identified all thirteen cultures used in this study in a time period of 2 minutes. This work provides proof of principle for a LIBS instrumentation system that could be developed for the rapid discrimination of bacterial species and strains demonstrating relatively minor genomic alterations using data collected directly from pathogen isolation media.
机译：激光诱导击穿光谱法（LIBS）是一种快速的原位诊断技术，其中使用样品上形成的激光等离子体的光发射进行分析，从而可以在数秒至数分钟内获得自动分析结果。这种分析速度加上很少或几乎没有样品制备，使LIBS成为一种有吸引力的检测工具。在这项研究中，证明LIBS可用于区分在血琼脂上生长的细菌种类和细菌菌落菌株。基于光谱数据的多元回归分析，创建了判别算法。将该算法部署在模拟的LIBS仪器系统上，以演示使用6种物种的区分能力。还区分了在BA上生长的基因改变的金黄色葡萄球菌菌株，包括仅通过增加夫西地酸或万古霉素抗性的突变而获得差异的等基因集。该算法在2分钟的时间内成功识别了本研究中使用的所有13种文化。这项工作为LIBS仪器系统提供了原理证明，该系统可以开发用于使用直接从病原体分离介质收集的数据来快速鉴别显示相对较小的基因组变化的细菌种类和菌株。

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