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

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dc.contributor.authorFERREIRA, MARIA C. de M.S.C.pt_BR
dc.contributor.authorLEAL, LEONARDO B.pt_BR
dc.contributor.authorNOGUEIRA, MARCELO S.pt_BR
dc.contributor.authorCASTRO, PEDRO A.A.pt_BR
dc.contributor.authorPERALTA, FELIPEpt_BR
dc.contributor.authorZEZELL, DENISE M.pt_BR
dc.contributor.authorCARVALHO, LUIS F. das C. e S. dept_BR
dc.contributor.editorHUANG, ZHIWEIpt_BR
dc.coverageInternacionalpt_BR
dc.creator.eventoSPIE PHOTONICS WEST; SPIE BIOSpt_BR
dc.date.accessioned2022-08-26T19:01:13Z
dc.date.available2022-08-26T19:01:13Z
dc.date.eventoJanuary 22 - February 28, 2022pt_BR
dc.description.abstractMore 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.pt_BR
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)pt_BR
dc.description.sponsorshipIDFAPESP: 18/03636-7pt_BR
dc.format.extent119570E-1 - 119570E-12pt_BR
dc.identifier.citationFERREIRA, 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.
dc.identifier.doi10.1117/12.2610565pt_BR
dc.identifier.orcid0000-0001-7404-9606pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0001-7404-9606
dc.identifier.urihttp://repositorio.ipen.br/handle/123456789/33253
dc.localBellingham, WA, USApt_BR
dc.local.eventoSan Francisco, CA, USApt_BR
dc.publisherSPIEpt_BR
dc.relation.ispartofseriesProceedings SPIE 11957, Biomedical Vibrational Spectroscopy 2022: Advances in Research and Industrypt_BR
dc.rightsclosedAccesspt_BR
dc.subjectneoplasms
dc.subjectoral cavity
dc.subjecttobacco smokes
dc.subjectfourier transformation
dc.subjectinfrared spectra
dc.subjectspectroscopy
dc.subjectbiopsy
dc.subjectdiagnostic techniques
dc.subjecttobacco
dc.titleBiochemical characterization of saliva of smoking and non-smoking patients by using Fourier-transform infrared spectroscopypt_BR
dc.typeTexto completo de eventopt_BR
dspace.entity.typePublication
ipen.autorDENISE MARIA ZEZELL
ipen.autorPEDRO ARTHUR AUGUSTO DE CASTRO
ipen.codigoautor693
ipen.codigoautor12053
ipen.contributor.ipenauthorDENISE MARIA ZEZELL
ipen.contributor.ipenauthorPEDRO ARTHUR AUGUSTO DE CASTRO
ipen.date.recebimento22-08
ipen.event.datapadronizada2022pt_BR
ipen.identifier.ipendoc28909pt_BR
ipen.identifier.ods3
ipen.notas.internasProceedingspt_BR
ipen.type.genreArtigo
relation.isAuthorOfPublicationa565f8ad-3432-4891-98c0-a587f497db21
relation.isAuthorOfPublication4fc30bdc-40c6-4bd5-9431-96db978a0475
relation.isAuthorOfPublication.latestForDiscovery4fc30bdc-40c6-4bd5-9431-96db978a0475
sigepi.autor.atividadeZEZELL, DENISE M.:693:920:Npt_BR
sigepi.autor.atividadeCASTRO, PEDRO A.A.:12053:930:Npt_BR
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