Paper
31 January 2012 Buccal microbiology analyzed by infrared spectroscopy
Geraldo Magno Alves de Abreu, Gislene Rodrigues da Silva, Sônia Khouri, Priscila Pereira Favero, Leandro Raniero, Airton Abrahão Martin
Author Affiliations +
Abstract
Rapid microbiological identification and characterization are very important in dentistry and medicine. In addition to dental diseases, pathogens are directly linked to cases of endocarditis, premature delivery, low birth weight, and loss of organ transplants. Fourier Transform Infrared Spectroscopy (FTIR) was used to analyze oral pathogens Aggregatibacter actinomycetemcomitans ATCC 29523, Aggregatibacter actinomycetemcomitans-JP2, and Aggregatibacter actinomycetemcomitans which was clinically isolated from the human blood-CI. Significant spectra differences were found among each organism allowing the identification and characterization of each bacterial species. Vibrational modes in the regions of 3500-2800 cm-1, the 1484-1420 cm-1, and 1000-750 cm-1 were used in this differentiation. The identification and classification of each strain were performed by cluster analysis achieving 100% separation of strains. This study demonstrated that FTIR can be used to decrease the identification time, compared to the traditional methods, of fastidious buccal microorganisms associated with the etiology of the manifestation of periodontitis.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Geraldo Magno Alves de Abreu, Gislene Rodrigues da Silva, Sônia Khouri, Priscila Pereira Favero, Leandro Raniero, and Airton Abrahão Martin "Buccal microbiology analyzed by infrared spectroscopy", Proc. SPIE 8219, Biomedical Vibrational Spectroscopy V: Advances in Research and Industry, 821912 (31 January 2012); https://doi.org/10.1117/12.907398
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
FT-IR spectroscopy

Microorganisms

Proteins

Statistical analysis

Biological research

Blood

Microbiology

Back to Top