Department of Surgery, Division of Orthopedic, Sultan Qaboos University, Muscat, Oman.
Department of Surgery, Division of Orthopedic, Sultan Qaboos University, Muscat, Oman.
Diagn Microbiol Infect Dis. 2024 Jul;109(3):116339. doi: 10.1016/j.diagmicrobio.2024.116339. Epub 2024 May 6.
In this study we performed preliminary experiments using Raman spectroscopy as an evolving technology in biofluid and microbial characterization, to explore its potential for rapid diagnosis of pathogenic bacteria in an in-vitro synovial fluid infection model. Normal human synovial fluids samples were collected from patients undergoing knee surgery and the three most common pathogenic bacteria introduced in-vitro into the samples. The bacterial growth was systematically monitored using a Raman spectroscopy. Multivariate regression analysis of acquired spectra showed bacterial characteristic Raman bands related to bacterial cell membranes and DNA structures to increase continuously as the incubation period was increased. Spectra signature recorded from cultured synovial fluid samples showed a significant loss in synovial quality and protein morphology over time compared to control samples. In this study, Raman spectroscopy shows promise for rapid pathogenic bacteria identification in synovial fluid. Marker peaks distinguished inoculated bacteria, while chemical changes reveal infection dynamics.
在这项研究中，我们使用拉曼光谱作为生物流体和微生物特征分析的新兴技术进行了初步实验，以探索其在体外滑液感染模型中快速诊断致病菌的潜力。我们从接受膝关节手术的患者中采集了正常的人类滑液样本，并将三种最常见的致病菌在体外引入样本中。使用拉曼光谱系统地监测细菌的生长。对获得的光谱进行多元回归分析表明，随着孵育时间的增加，与细菌细胞膜和 DNA 结构相关的细菌特征拉曼带不断增加。与对照样本相比，从培养的滑液样本中记录的光谱特征显示出滑液质量和蛋白质形态随时间的推移显著下降。在这项研究中，拉曼光谱显示出在滑液中快速鉴定致病菌的潜力。标记峰区分了接种的细菌，而化学变化则揭示了感染的动态。
