FERREIRA, MARIA C. de M.S.C.LEAL, LEONARDO B.NOGUEIRA, MARCELO S.CASTRO, PEDRO A.A.PERALTA, FELIPEZEZELL, DENISE M.CARVALHO, LUIS F. das C. e S. deHUANG, ZHIWEI2022-08-262022-08-26FERREIRA, MARIA C. de M.S.C.; LEAL, LEONARDO B.; NOGUEIRA, MARCELO S.; CASTRO, PEDRO A.A.; PERALTA, FELIPE; ZEZELL, DENISE M.; CARVALHO, LUIS F. das C. e S. de. Biochemical characterization of saliva of smoking and non-smoking patients by using Fourier-transform infrared spectroscopy. In: HUANG, ZHIWEI (ed.). In: SPIE PHOTONICS WEST; SPIE BIOS, January 22 - February 28, 2022, San Francisco, CA, USA. <b>Proceedings...</b> Bellingham, WA, USA: SPIE, 2022. p. 119570E-1 - 119570E-12. (Proceedings SPIE 11957, Biomedical Vibrational Spectroscopy 2022: Advances in Research and Industry). DOI: <a href="https://dx.doi.org/10.1117/12.2610565">10.1117/12.2610565</a>. Disponível em: http://repositorio.ipen.br/handle/123456789/33253.http://repositorio.ipen.br/handle/123456789/33253More than 90% of oral malignant neoplasms consist of squamous cell carcinoma originated from extrinsic and/or intrinsic multifactorial etiology on the epithelium of the oral mucosa. This multifactorial etiology makes early-stage cancer detection 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 and determine their intrinsic molecular changes as well as the performance of sample differentiation by using a neural network classifier. Saliva samples were collected by spitting, homogenized and stored at -20ºC until analysis. Spectral data was collected in the fingerprint region (900cm-1 to 1800cm- 1) by using a Thermo Scientific Nicolet 6700 ATR FT-IR Spectrometer, in which 1-μl samples were placed on the crystal without additives and left to dry completely by an average time of 5 minutes. Data pre-processing and analysis was performed on the OriginPro8.5 and Orange software. Saliva-sample classification was performed with leave-one-out validation. Correctly classified instances were 72.7% for the control group, 65.5% for occasional smokers and 75% for smokers. Sample differences were observed in the peaks at 1076cm-1 (skeletal cis conformation of DNA and symmetric stretching of phosphate [PO2], 1403cm-1 symmetric CH3 modes of protein methyl groups and δsCH3 of collagen, 1451cm- 1 asymmetrical CH3 bending modes of the protein methyl groups, 1547cm-1 of protein band, amide II, peptide and proteins amide II, and 1646cm-1 amide I, C5 methylated cytosine, C==O bond, C==C stretching uracil and NH2 guanine.119570E-1 - 119570E-12closedAccessneoplasmsoral cavitytobacco smokesfourier transformationinfrared spectraspectroscopybiopsydiagnostic techniquestobaccoTexto completo de evento10.1117/12.26105650000-0001-7404-9606https://orcid.org/0000-0001-7404-9606