Early detection of dental fluorosis using Raman spectroscopy and principal component analysis
详细信息    查看全文
  • 作者:José Luis González-Solís ; Evelia Martínez-Cano…
  • 关键词:Fluorosis ; Dental hard samples ; Raman spectroscopy ; Principal component analysis
  • 刊名:Lasers in Medical Science
  • 出版年:2015
  • 出版时间:August 2015
  • 年:2015
  • 卷:30
  • 期:6
  • 页码:1675-1681
  • 全文大小:972 KB
  • 参考文献:1.Fejerskov O, Manji F, Baelum V (1990) The nature and mechanism of dental fluorosis in man. J Den Res 69:692-00
    2.Desbesten PK (1999) Biological mechanisms of dental fluorosis to the use of fluoride supplements. Community Dent Oral Epidemiol 27:41-7View Article
    3.Rivas-Gutiérrez J, Huerta-Vega L (2005) Fluorosis dental: Metabolismo, distribución y absorción del fluoruro. Asoc Den Mex 43(6):225-29
    4.Vallejos-Sánchez AA, Medina-Solís CE, Casanova-Rosado JF, Maupomè G, Minaya-Sánchez M, Pérez-Olivares S (2006) Dental fluorosis in cohorts born before, during, and after the national salt fluoridation program in a community in México. Ac Odon Scand 64:209-13View Article
    5.Soto-Rojas AE, Ure?a-Cirret JL, Martínez-Mier EA (2004) A review of the prevalence of dental fluorosis in Mexico. Rev Panam Salud Pblica 15:9-7
    6.World Health Organization. Oral health survey-basic methods. 5th Geneva: WHO; 2013
    7.Stookey GK, Jackson RD, Zandona AG, Abaloui M (1999) Dental caries diagnosis, Dent. Clin North Am 43:665-77
    8.Hall AF, Girkin JM (2004) A review of potential new diagnostic modalities for caries lesions. J Dent Res 83:C89–C94PubMed View Article
    9.Girkin JM, Hall AF, Creanor SL (1999). In: Stookey GK (ed) Multi-photon imaging of intact dental tissue. In: Proceedings of the 4th Annual Indiana Conference. Indiana University School of Dentistry, Indianapolis, Indiana, pp 155-68
    10.Amaechi BT, Higham SM, Podoleanu AG, Rogers JA, Jackson DA (2001) Use of optical coherence tomography for assessment of dental caries: quantitative procedure. J Oral Rehabil 28:1092-093PubMed View Article
    11.Ko AC-T, Choo-Smith LP, Hewko M, Leonardi L, Sowa MG, Dong CCS, Williams P, Cleghorn B (2005) Ex vivo detection and characterization of early dental caries by optical coherence tomography and Raman spectroscopy. J Biomed Opt 10:031118PubMed View Article
    12.Hill W, Petrou V (2000) Caries detection by diode laser Raman spectroscopy. Appl Spectrosc 54:795-99View Article
    13.Choo-Smith LP, Edward MHG, Endtz HP et al (2002) Medical applications of Raman spectroscopy: from proof of principle to clinical implementation. Biopolymers 67:1-PubMed View Article
    14.Hans-Uldrich G, Yan B (2001) Infrared and Raman spectroscopy of biological materials. Marcel Dekker, New York
    15.Stone N, Kendall C et al (2002) Near-infrared Raman spectroscopy for the classification of epithelial pre-cancers and cancers. J Raman Spectrosc 33:564573View Article
    16.Pichardo-Molina JL, Frausto-Reyes C, Barbosa-García O, Huerta-Franco R, González-Trujillo JL, Ramírez-Alvarado CA, Gutiérrez-Juárez G, Medina-Gutiérrez C (2006) Raman spectroscopy and multivariate analysis of serum simples from breast cancer patients. Lasers Med Sci 10103:432-
    17.Gonzàlez-Solís JL, Martínez-Espinosa JC, Torres-Gonzàlez LA, Jave-Suàrez LF, Aguilar-Lemarroy AC, Palomares-Anda P (2014) Cervical cancer detection based on serum samples Raman Spectroscopy. Lasers Med Sci 29: 979-85
    18.González-Solís JL, Martínez-Espinosa JC, Salgado-Romn? JM, Palomares-Anda P (2014) Monitoring of chemotherapy leukemia treatment using Raman spectroscopy and principal component analysis. Lasers Med Sci doi:10.-007/?s10103-013-1515-y.-/span>
    19.Boelens HF, Eiler PH, Hankemeier T (2005) Sing constrains improve the detection of differences between complex spectral data sets: LC-IR as an example. Anal Chem 77(24):7998-8007PubMed View Article
    20.Tsuda H, Arends J (1997) Raman spectroscopy in dental research: a short review of recent studies. Adv Dent Res ll(4):539-547View Article
    21.Nogueira VG, Silveira L (2005) Raman spectroscopy study of atherosclerosis in human carotid artery. J Biomed Opt 10:031117-031117-7View Article
    22.Tsuda H, Arends J (1993) Detection and quantification of calcium fluoride using micro-Raman spectroscopy. Caries Res 27:249-57PubMed View Article
    23.Yanagisawa T, Takuma S, Tohda H, Fejerskov O, Fearnhead RW (1989a) High resolution electron microscopy of enamel crystals in cases of human dental fluorosis. J Electron Microsc 38:441-48
    24.Yanagisawa T, Takuma S, Fejerskov O (1989b) Ultrastructure and composition of enamel in human dental fluorosis. Adv Dent Res 3:203-10PubMed
    25.Robinson C, Connell S, Kirkham J, Brookes SJ, Shore RC, Smith AM (2004) The effect of fluoride on the developing tooth. Caries Res 38:268-76PubMed View Article
    26.Borzabadi-Farahani A, Eslamipour F, Asgari I (2011) Association between orthodontic treatment need and caries experience. Acta Odontol Scand 69(1):2-1s
  • 作者单位:José Luis González-Solís (1)
    Evelia Martínez-Cano (2)
    Yolanda Maga?a-López (1)

    1. Biophysics and Biomedical Sciences Laboratory, Centro Universitario de los Lagos, Universidad de Guadalajara, Enrique Díaz de León 1144, Paseo de la Monta?a, CP 47460, Lagos de Moreno, Jalisco, México
    2. Food Technology Laboratory, Centro Universitario de los Lagos, Universidad de Guadalajara, Enrique Díaz de León 1144, Paseo de la Monta?a, CP 47460, Lagos de Moreno, Jalisco, México
  • 刊物类别:Medicine
  • 刊物主题:Medicine & Public Health
    Medicine/Public Health, general
    Dentistry
    Laser Technology and Physics and Photonics
    Quantum Optics, Quantum Electronics and Nonlinear Optics
    Applied Optics, Optoelectronics and Optical Devices
  • 出版者:Springer London
  • ISSN:1435-604X
文摘
Raman spectroscopic technique has the potential to provide vibrational spectra of minerals by analyzing scattered light caused by monochromatic laser excitation. In this paper, recent applications of Raman spectroscopy in the study of dental hard tissues are reported. Special attention is given to mineral components in enamel and to calcium fluoride formed in/on enamel. The criteria used to classify the dental hard samples were according to the Dean Index (DI), which consists into healthy or control, mild, moderate, and severe, indicating the amount of dental fluorosis observed on enamel. A total of 39 dental samples (9 control, 9 mild, 10 moderate, and 11 severe) were analyzed in the study. Dental samples were positioned under an Olympus microscope, and around 10 points were chosen for Raman measurement. All spectra were collected by a Horiba Jobin-Yvon LabRAM HR800 Raman Spectrometer with a laser of 830-nm and 17-mW power irradiation. Raw spectra were processed by carrying out baseline correction, smoothing, and normalization to remove noise, florescence, and shot noise and then analyzed using principal component analysis (PCA). In the spectra of dental samples, we observed the main bands as the broad band due to CO\(^{2-}_{3}\) (240-00 cm ?), CaF 2 (322 cm ?), PO\(^{3-}_{4} \nu _{2}\) vibrations (437 and 450 cm ?), PO\(^{3-}_{4} \nu _{4}\) vibrations (582, 598, and 609 cm ?), PO\(^{3-}_{4} \nu _{1}\) vibrations (960 cm ?), PO\(^{3-}_{4} \nu _{3}\) vibrations (1,045 cm ?), and CO\(^{2-}_{3} \nu _{1}\) vibration (1,073 cm ?). Nevertheless, the intensity of the band at 960 cm ? associated to symmetric stretch of phosphate, PO\(^{3-}_{4} \nu _{1}\), decreases as the amount of dental fluorosis increases, suggesting that the intensity of this band could be used to quantitatively measure the level of fluorosis on a dental sample. On the other hand, PCA allowed to identify two large clusters discriminating between control, and severe and moderate samples with high sensitivity and specificity. PCA was able to discriminate mild from moderate samples with 100 % sensitivity and 89 % specificity and mild from severe samples with 91 % sensitivity and 100 % specificity. In addition, PCA was also able to discriminate between mild samples and group formed by the moderate and severe samples with 95 % sensitivity and 89 % specificity. Finally, PCA allowed us to define the wavelength differences between the spectral bands of the healthy teeth with sound enamel and those with fluorosis by confirming that the main chemical differences among control and severe fluorosis samples were associated to the vibrational modes of phosphate (PO\(^{3-}_{4} \nu _{1}\), PO\(^{3-}_{4} \nu _{2}\), PO\(^{3-}_{4} \nu _{3}\), and PO\(^{3-}_{4} \nu _{4})\) and carbonate (CO\(^{2-}_{3} \nu _{1}\)) ions. The preliminary results suggest that Raman-PCA technique has the potential to be a noninvasive real-time tool for the early detection and monitoring evolution of dental fluorosis.

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700