Shahid Urwa, Rashid Nosheen, Javed Muhammad Rizwan, Majeed Muhammad Irfan, Mohsin Mashkoor, Nawaz Haq, Seemab Riffat, Zohaib Muhammad, Alam Mubashar, Alshammari Abdulrahman, Albekairi Norah A, Shafique Hira, Shahid Habiba
Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan.
Department of Chemistry, University of Education, Faisalabad Campus, Faisalabad 38000, Pakistan.
Spectrochim Acta A Mol Biomol Spectrosc. 2025 Mar 15;329:125517. doi: 10.1016/j.saa.2024.125517. Epub 2024 Nov 30.
Development of rapid detection and discrimination technique for the antibiotic resistant and sensitive bacterial strains is required for this purpose, Surface-enhanced Raman spectroscopy (SERS) technique is considered to have great potential. To develop a fast and sensitive detection and discrimination methodology based on SERS technique along with chemometric tools for the differentiation among fosfomycin sensitive and resistant Escherichia coli (E. coli) strains. In this research work, three E. coli strains resistant to fosfomycin with three fosfomycin sensitive E. coli strains were characterized in which silver nanoparticles were employed as SERS substrate. Moreover, MATLAB 7.8 (2009a) was used for the preprocessing, baseline correction and normalization of SERS spectra. Using principal component analysis (PCA) and partial least squares discriminant analysis (PLSDA), several E. coli strains were identified on the basis of their distinctive SERS spectral properties. The differentiating SERS spectral features which can be associated with the resistance and sensitivity against fosfomycin antibiotic, are obtained by comparing mean SERS spectrum of strains of resistant E. coli with sensitive E. coli strains. Chemometric techniques, such as principal components analysis, have been proven effective for qualitative analysis. Additionally, PLSDA was employed to classify the SERS spectra acquired from the pellets of several bacterial strains. SERS is a useful analytical method for quickly differentiating between E. coli strains that are sensitive to fosfomycin and those that are resistant to it.
为此，需要开发用于抗生素抗性和敏感细菌菌株的快速检测和鉴别技术，表面增强拉曼光谱（SERS）技术被认为具有巨大潜力。旨在基于SERS技术以及化学计量工具开发一种快速灵敏的检测和鉴别方法，用于区分磷霉素敏感和抗性大肠杆菌（E. coli）菌株。在本研究工作中，对三株对磷霉素耐药的大肠杆菌菌株和三株磷霉素敏感的大肠杆菌菌株进行了表征，其中使用银纳米颗粒作为SERS底物。此外，使用MATLAB 7.8（2009a）对SERS光谱进行预处理、基线校正和归一化。使用主成分分析（PCA）和偏最小二乘判别分析（PLSDA），根据几种大肠杆菌菌株独特的SERS光谱特性对它们进行了鉴别。通过比较耐药大肠杆菌菌株和敏感大肠杆菌菌株的平均SERS光谱，获得了与对磷霉素抗生素的抗性和敏感性相关的区分性SERS光谱特征。化学计量技术，如主成分分析，已被证明对定性分析有效。此外，采用PLSDA对从几种细菌菌株的菌团获得的SERS光谱进行分类。SERS是一种用于快速区分对磷霉素敏感和耐药的大肠杆菌菌株的有用分析方法。
