Biochemical characterization of saliva of smoking and non-smoking patients by using Fourier-transform infrared spectroscopy

Maria Clara de Moura Santos Coelho Ferreira; Leonardo B. Leal; Marcelo Saito Nogueira; Pedro A. A. Castro; Felipe Peralta; Denise M. Zezell; Luís Felipe Chagas e Silva Carvalho

doi:10.1117/12.2610565

2 March 2022 Biochemical characterization of saliva of smoking and non-smoking patients by using Fourier-transform infrared spectroscopy

Maria Clara de Moura Santos Coelho Ferreira, Leonardo B. Leal, Marcelo Saito Nogueira, Pedro A. A. Castro, Felipe Peralta, Denise M. Zezell, Luís Felipe Chagas e Silva Carvalho

Author Affiliations +

Proceedings Volume 11957, Biomedical Vibrational Spectroscopy 2022: Advances in Research and Industry; 119570E (2022) https://doi.org/10.1117/12.2610565
Event: SPIE BiOS, 2022, San Francisco, California, United States

Abstract

Early-stage cancer detection is challenging due to the lack of associated oral-tissue clinical features and absence of changes on conventional cellular-imaging, serological and histopathological exams. By using a molecular-sensitive optical technique such as Fourier-transform infrared (FT-IR) spectroscopy, disease-specific biochemical changes can be detected non-destructively, non-invasively and with small sample volumes. In this study, we have used FT-IR spectroscopy to analyze saliva samples of control, smoker, and occasional smoker groups in the fingerprint region (900cm-1 to 1800cm-1). Saliva-sample classification was performed with a neural network algorithm and leave-one-out validation. Correctly classified instances were 72.7% for the control group, 65.5% for occasional smokers and 75% for smokers.

Conference Presentation

Citation Download Citation

Maria Clara de Moura Santos Coelho Ferreira, Leonardo B. Leal, Marcelo Saito Nogueira, Pedro A. A. Castro, Felipe Peralta, Denise M. Zezell, and Luís Felipe Chagas e Silva Carvalho "Biochemical characterization of saliva of smoking and non-smoking patients by using Fourier-transform infrared spectroscopy", Proc. SPIE 11957, Biomedical Vibrational Spectroscopy 2022: Advances in Research and Industry, 119570E (2 March 2022); https://doi.org/10.1117/12.2610565

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