作者: Sujintana Wongthong , Patcharaporn Tippayawat , Molin Wongwattanakul , Pirom Poung-ngern , Lumyai Wonglakorn
DOI: 10.1007/S11274-019-2788-5
关键词:
摘要: Staphylococcus aureus strains resistant to the last line antibiotic, vancomycin, have been of clinical concern. These include heterogeneous vancomycin-intermediate S. (hVISA) and VISA. The hVISA phenotype cannot be detected by routine laboratory methods. Characterization hVISA/VISA new technologies is necessary differentiate them rapidly from vancomycin-susceptible isolates (VSSA). In this study, we developed a model for discrimination VSSA using attenuated total reflection-Fourier transform infrared (ATR-FTIR) spectroscopy combined with multivariate data analysis, displaying phenotypic signature bacteria. ATR-FTIR spectra were acquired 59 methicillin-resistant (MRSA) comprising 28 31 strains. Principal component analysis (PCA) partial least square discriminant (PLS-DA) used analyze 351 39 develop identifying VSSA. classification model, which was blind testing 90 each 10 hVISA, isolates, provided 100% sensitivity specificity. modeling revealed that major between phenotypes involved bands related cell wall content (1087 1057 cm−1). This study showed technique may an alternative method rapid detection low-level vancomycin-resistant aureus.