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Rapid detection and identification of bacterial meningitis pathogens in ex vivo clinical samples by SERS method and principal component analysis

机译:SERS法和主成分分析法快速检测和鉴定离体临床样品中的细菌性脑膜炎病原体

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Three of the most common meningitis pathogens, Neisseria meningitidis, Haemophilus influenzae, and Streptococcus pneumoniae, have been successfully detected and identified in clinical cerebrospinal fluid (CSF) samples using a new class of a surface-enhanced Raman scattering (SERS) assay. Bacterial meningitis is a disease of the nervous system that is extremely serious and often fatal (an inflammation encompasses the lining around the brain and spinal cord). The approach presented in this study challenges the current SERS-based method of microorganism detection in terms of sensitivity and, more importantly, reveals a simple, quick (on a timescale of seconds), label-free detection of multiple components from very small volumes of clinical samples. This new SERS class of assay, based on the combination of two types of Au/Ag-coated, nuclepore track-etched polycarbonate membranes, allow simultaneous filtration of CSF and immobilization of CSF components, enhancing their Raman signals and enabling detection of the spectra of a single bacteria cell present in the analyzed CSF samples. The multivariate statistical method, principal component analysis (PCA), was applied (i) to extract the biochemical information from the recorded bacterial spectra, (ii) to perform the statistical classification of analyzed microorganisms, and, finally, (iii) to identify the spectrum of an unknown sample by comparing it to the library of known bacterial spectra. The three meningitis pathogens, namely, N. meningitidis, H. influenzae, and S. pneumoniae, were detected and identified simultaneously using a label-free SERS method. This method of detection produces consistent results faster and cheaper than traditional laboratory techniques and demonstrates the powerful potential of SERS technique in medical applications. Additionally, the present study was undertaken to evaluate the CSF neopterin level in patients with diagnosed meningococcal meningitis. The results of this study confirmed that bacterial meningitis caused by N. meningitidis, H. influenzae, and S. pneumoniae is associated with elevated cerebrospinal fluid neopterin levels compared with control CSF samples. The neopterin concentration can be used to predict meningitis, but cannot be applied to qualify the species of bacteria inducing the meningitis infection...
机译:使用新型的表面增强拉曼散射(SERS)分析法已在临床脑脊液(CSF)样品中成功检测出了三种最常见的脑膜炎病原体,即脑膜炎奈瑟菌,流感嗜血杆菌和肺炎链球菌。细菌性脑膜炎是一种极为严重的神经系统疾病,通常是致命的(炎症包括大脑和脊髓周围的内层)。本研究中提出的方法在灵敏度方面对当前基于SERS的微生物检测方法提出了挑战,更重要的是,它揭示了从很小体积的细菌中进行简单,快速(以秒为单位),无标记的多种成分检测的方法。临床样品。这种新的SERS分析方法基于两种类型的Au / Ag涂层,核孔径迹蚀刻的聚碳酸酯膜的组合,可以同时过滤CSF和固定CSF组分,增强其拉曼信号并能够检测CSF的光谱分析的CSF样品中存在单个细菌细胞。应用多元统计方法主成分分析(PCA)(i)从记录的细菌光谱中提取生化信息,(ii)对所分析的微生物进行统计分类,最后(iii)鉴定微生物将未知样品的光谱与已知细菌光谱库进行比较。使用无标记SERS方法同时检测和鉴定了三种脑膜炎病原体,即脑膜炎奈瑟菌,流感嗜血杆菌和肺炎链球菌。这种检测方法比传统的实验室技术更快,更便宜地产生一致的结果,并证明了SERS技术在医疗应用中的强大潜力。此外,本研究旨在评估诊断为脑膜炎球菌性脑膜炎的患者的脑脊液新蝶呤水平。这项研究的结果证实,与对照脑脊液样本相比,由脑膜炎奈瑟氏球菌,流感嗜血杆菌和肺炎链球菌引起的细菌性脑膜炎与脑脊液新蝶呤水平升高有关。新蝶呤的浓度可用于预测脑膜炎,但不能用于鉴定诱导脑膜炎感染的细菌的种类...

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