生物膜
表皮葡萄球菌
拉曼光谱
主成分分析
微生物学
表面增强拉曼光谱
化学
细菌
金黄色葡萄球菌
生物
拉曼散射
计算机科学
遗传学
光学
物理
人工智能
作者
Muhammad Shakeel,Muhammad Irfan Majeed,Haq Nawaz,Nosheen Rashid,Aamir Ali,Asma Haque,Muhammad Umair Akbar,Muhammad Tahir,Saania Munir,Zain Ali,Muhammad Shahbaz,Mudassar Saleem
标识
DOI:10.1016/j.pdpdt.2022.103145
摘要
Surface-enhanced Raman spectroscopy (SERS) is an effective tool for identifying biofilm forming bacterial strains. Biofilm forming bacteria are considered a major issue in the health sector because they have strong resistance against antibiotics. Staphylococcus epidermidis is commonly present on intravascular devices and prosthetic joints, catheters and wounds.To identify and characterize biofilm forming and non-biofilm forming bacterial strains, surface- enhanced Raman spectroscopy with principal component analysis (PCA) and partial least square discriminant analysis (PLS-DA) were used.Surface-enhanced Raman spectroscopy (SERS) with silver nanoparticles were employed for the analysis and characterization of biofilm forming bacterial strains. SERS is used to differentiate between non biofilm forming (five samples), medium biofilm forming (five samples) and strong biofilm forming (five samples) bacterial strains by applying silver nanoparticles (AgNPs) as SERS substrate. Principal component analysis (PCA) and Partial least square discriminant analysis (PLS-DA) were used to discriminate between non, medium and strong biofilm ability of bacterial strains.Principal component analysis (PCA) and Partial least square discriminant analysis (PLS-DA) have been used to identify the biochemical differences in the form of SERS features which can be used to differentiate between biofilm forming and non-biofilm forming bacterial strains. PLS-DA provides successful differentiation and classification of these different strains with 94.5% specificity, 96% sensitivity and 89% area under the curve (AUC).Surface-enhanced Raman spectroscopy can be utilized to differentiate between non, medium and strong biofilm forming bacterial strains.
科研通智能强力驱动
Strongly Powered by AbleSci AI