Biochemical characterization of saliva of smoking and non-smoking patients by using Fourier-transform infrared spectroscopy
dc.contributor.author | FERREIRA, MARIA C. de M.S.C. | pt_BR |
dc.contributor.author | LEAL, LEONARDO B. | pt_BR |
dc.contributor.author | NOGUEIRA, MARCELO S. | pt_BR |
dc.contributor.author | CASTRO, PEDRO A.A. | pt_BR |
dc.contributor.author | PERALTA, FELIPE | pt_BR |
dc.contributor.author | ZEZELL, DENISE M. | pt_BR |
dc.contributor.author | CARVALHO, LUIS F. das C. e S. de | pt_BR |
dc.contributor.editor | HUANG, ZHIWEI | pt_BR |
dc.coverage | Internacional | pt_BR |
dc.creator.evento | SPIE PHOTONICS WEST; SPIE BIOS | pt_BR |
dc.date.accessioned | 2022-08-26T19:01:13Z | |
dc.date.available | 2022-08-26T19:01:13Z | |
dc.date.evento | January 22 - February 28, 2022 | pt_BR |
dc.description.abstract | More 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.sponsorship | Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) | pt_BR |
dc.description.sponsorshipID | FAPESP: 18/03636-7 | pt_BR |
dc.format.extent | 119570E-1 - 119570E-12 | pt_BR |
dc.identifier.citation | FERREIRA, 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.doi | 10.1117/12.2610565 | pt_BR |
dc.identifier.orcid | 0000-0001-7404-9606 | pt_BR |
dc.identifier.orcid | https://orcid.org/0000-0001-7404-9606 | |
dc.identifier.uri | http://repositorio.ipen.br/handle/123456789/33253 | |
dc.local | Bellingham, WA, USA | pt_BR |
dc.local.evento | San Francisco, CA, USA | pt_BR |
dc.publisher | SPIE | pt_BR |
dc.relation.ispartofseries | Proceedings SPIE 11957, Biomedical Vibrational Spectroscopy 2022: Advances in Research and Industry | pt_BR |
dc.rights | closedAccess | pt_BR |
dc.subject | neoplasms | |
dc.subject | oral cavity | |
dc.subject | tobacco smokes | |
dc.subject | fourier transformation | |
dc.subject | infrared spectra | |
dc.subject | spectroscopy | |
dc.subject | biopsy | |
dc.subject | diagnostic techniques | |
dc.subject | tobacco | |
dc.title | Biochemical characterization of saliva of smoking and non-smoking patients by using Fourier-transform infrared spectroscopy | pt_BR |
dc.type | Texto completo de evento | pt_BR |
dspace.entity.type | Publication | |
ipen.autor | DENISE MARIA ZEZELL | |
ipen.autor | PEDRO ARTHUR AUGUSTO DE CASTRO | |
ipen.codigoautor | 693 | |
ipen.codigoautor | 12053 | |
ipen.contributor.ipenauthor | DENISE MARIA ZEZELL | |
ipen.contributor.ipenauthor | PEDRO ARTHUR AUGUSTO DE CASTRO | |
ipen.date.recebimento | 22-08 | |
ipen.event.datapadronizada | 2022 | pt_BR |
ipen.identifier.ipendoc | 28909 | pt_BR |
ipen.identifier.ods | 3 | |
ipen.notas.internas | Proceedings | pt_BR |
ipen.type.genre | Artigo | |
relation.isAuthorOfPublication | a565f8ad-3432-4891-98c0-a587f497db21 | |
relation.isAuthorOfPublication | 4fc30bdc-40c6-4bd5-9431-96db978a0475 | |
relation.isAuthorOfPublication.latestForDiscovery | 4fc30bdc-40c6-4bd5-9431-96db978a0475 | |
sigepi.autor.atividade | ZEZELL, DENISE M.:693:920:N | pt_BR |
sigepi.autor.atividade | CASTRO, PEDRO A.A.:12053:930:N | pt_BR |
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