Cervical cancer detection based on serum sample surface enhanced Raman spectroscopy
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| Format: | Artículo científico |
| Langue: | en |
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Sociedad Mexicana de Física A.C.
2016
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| _version_ | 1876462918803914752 |
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| author | S.A. Sánchez-Rojo |
| author_facet | S.A. Sánchez-Rojo |
| contents | Cervical cancer detection based on serum sample surface enhanced Raman spectroscopy S.A. Sánchez-Rojo B.E. Martínez-Zerega E.F. Velázquez-Pedroza J.C. Martínez-Espinosa L.A. Torres-González A. Aguilar-Lemarroy L.F. Jave-Suárez P. Palomares-Anda J.L. González-Solís Física, Astronomía y Matemáticas blood serum Cervical cancer principal component analysis linear discriminant analysis surface enhanced Raman scattering In the presence of nanoparticles, the Raman signal is enhanced to the levels sufficient to detect a single molecule, therefore spectroscopySurface-Enhanced Raman Scattering (SERS) is currently recognized as a detection technique extremely sensitive with high levels of molec-ular specificity. This is the first report in the cervical cancer detection based on serum SERS. The serum samples were obtained from 14patients who were clinically diagnosed with cancer and 14 healthy volunteer controls. The serum samples were mixed with colloidal silvernanoparticles of 40 nm in the same proportion, using sonication. About 10 spectra were collected of each serum sample using a HoribaJobin-Yvon LabRAM Raman Spectrometer with a laser of 830 nm. The enhanced Raman bands allowed identifying biomolecules presentat low concentration as amide I and III, carotene, glutathione, tryptophan, tyrosine and phenylalanine. Subsequently, the processed SERSspectra were analyzed using multivariate statistical analysis including principal component analysis and linear discriminant analysis (LDA).Preliminary results showed that SERS and PCA-LDA can be used to discriminate between cervical cancer and control samples with highsensitivity and specificity, forming an excellent support technique for current detection techniques. 2016 artículo científico 0035-001X https://www.redalyc.org/articulo.oa?id=57045452005 en http://www.redalyc.org/revista.oa?id=570 Revista Mexicana de Física application/pdf Sociedad Mexicana de Física A.C. Revista Mexicana de Física (México) Num.3 Vol.62 |
| format | Artículo científico |
| id | redalyc_57045452005 |
| institution | Redalyc |
| language | en |
| publishDate | 2016 |
| publisher | Sociedad Mexicana de Física A.C. |
| spellingShingle | Cervical cancer detection based on serum sample surface enhanced Raman spectroscopy S.A. Sánchez-Rojo Física, Astronomía y Matemáticas blood serum Cervical cancer principal component analysis linear discriminant analysis surface enhanced Raman scattering Cervical cancer detection based on serum sample surface enhanced Raman spectroscopy S.A. Sánchez-Rojo B.E. Martínez-Zerega E.F. Velázquez-Pedroza J.C. Martínez-Espinosa L.A. Torres-González A. Aguilar-Lemarroy L.F. Jave-Suárez P. Palomares-Anda J.L. González-Solís Física, Astronomía y Matemáticas blood serum Cervical cancer principal component analysis linear discriminant analysis surface enhanced Raman scattering In the presence of nanoparticles, the Raman signal is enhanced to the levels sufficient to detect a single molecule, therefore spectroscopySurface-Enhanced Raman Scattering (SERS) is currently recognized as a detection technique extremely sensitive with high levels of molec-ular specificity. This is the first report in the cervical cancer detection based on serum SERS. The serum samples were obtained from 14patients who were clinically diagnosed with cancer and 14 healthy volunteer controls. The serum samples were mixed with colloidal silvernanoparticles of 40 nm in the same proportion, using sonication. About 10 spectra were collected of each serum sample using a HoribaJobin-Yvon LabRAM Raman Spectrometer with a laser of 830 nm. The enhanced Raman bands allowed identifying biomolecules presentat low concentration as amide I and III, carotene, glutathione, tryptophan, tyrosine and phenylalanine. Subsequently, the processed SERSspectra were analyzed using multivariate statistical analysis including principal component analysis and linear discriminant analysis (LDA).Preliminary results showed that SERS and PCA-LDA can be used to discriminate between cervical cancer and control samples with highsensitivity and specificity, forming an excellent support technique for current detection techniques. 2016 artículo científico 0035-001X https://www.redalyc.org/articulo.oa?id=57045452005 en http://www.redalyc.org/revista.oa?id=570 Revista Mexicana de Física application/pdf Sociedad Mexicana de Física A.C. Revista Mexicana de Física (México) Num.3 Vol.62 |
| title | Cervical cancer detection based on serum sample surface enhanced Raman spectroscopy |
| topic | Física, Astronomía y Matemáticas blood serum Cervical cancer principal component analysis linear discriminant analysis surface enhanced Raman scattering |
| url | https://www.redalyc.org/articulo.oa?id=57045452005 |