Raman spectroscopy of oral tissues: correlation of spectral and biochemical markers

被引:1
|
作者
Singh, S. P. [1 ]
Krishna, C. Murali [1 ]
机构
[1] ACTREC, Tata Mem Ctr, Chilakapati Lab, Kharghar 410210, Navi Mumbai, India
来源
关键词
Raman spectroscopy; Oral cancer; Curve deconvolution; Biochemical correlation; Protein estimation; BREAST TISSUES; BUCCAL MUCOSA; AUTOFLUORESCENCE; DIAGNOSIS; TOBACCO; BENIGN;
D O I
10.1117/12.2052797
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Introduction Optical spectroscopic methods are being explored as novel tools for early and non-invasive cancer diagnosis. Both ex vivo and in vivo Raman spectroscopic studies carried out in oral cancer over the past decade have demonstrated that spectra of normal tissues are rich in lipids while tumor spectra show predominance of proteins. An accurate understanding of spectral features with respect to the biochemical composition is a pre-requisite before transferring these technologies for routine clinical usage. Therefore, in the present study, we have carried out Raman and biochemical studies on same tissues to correlate spectral markers and biochemical composition of normal and tumor oral tissues. Materials and Methods Spectra of 20 pairs of normal and tumor oral tissues were acquired using fiber-optic probe coupled HE-785 Raman spectrometer. Intensity associated with lipid (1440 cm(-1)) and protein (1450 and 1660 cm(-1)) bands were computed using curve-deconvolution method. Same tissues were then subjected to biochemical estimations of major biomolecules i.e., protein, lipid and phospholipids. Results and Discussion The intensity of the lipid band was found to be higher in normal tissues with respect to tumors, and the protein band was higher in tumors compared to normal tissues. Biochemical estimation yielded similar results i.e. high protein to lipid or phospholipid ratio in tumors with-respect to normal tissues. These differences were found to be statistically significant. Conclusion Findings of curve-deconvolution and biochemical estimation correlate very well and corroborate the spectral profile noted in earlier studies.
引用
收藏
页数:6
相关论文
共 50 条
  • [31] Raman spectroscopy as a tool for detection of lung cancer and verification of vaccination effect - Correlation with biochemical data
    Smok-Kalwat, Jolanta
    Gozdz, Stanislaw
    Macek, Pawel
    Kalwat, Zuzanna
    Sawic, Magdalena
    Sroka-Bartnicka, Anna
    Stepulak, Andrzej
    Depciuch, Joanna
    VACCINE, 2025, 46
  • [32] Raman spectroscopy of stored red blood cells: evaluating clinically relevant biochemical markers in donated blood
    Atkins, Chad G.
    Buckley, Kevin
    Chen, Deborah
    Schulze, H. Georg
    Devine, Dana V.
    Blades, Michael W.
    Turner, Robin F. B.
    CLINICAL AND BIOMEDICAL SPECTROSCOPY AND IMAGING IV, 2015, 9537
  • [33] Raman mapping of oral tissues for cancer diagnosis
    Daniel, Amuthachelvi
    Prakasarao, Aruna
    David, Balu
    Joseph, Leena
    Krishna, C. Murali
    Koteeswaran, D.
    Ganesan, Singaravelu
    JOURNAL OF RAMAN SPECTROSCOPY, 2014, 45 (07) : 541 - 549
  • [34] Correlation spectroscopy of tissues with diffuse light
    Yodh, AG
    PHOTON CORRELATION AND SCATTERING, TECHNICAL DIGEST, 2000, 47 : 40 - 40
  • [35] Synchrotron FTIR and Raman spectroscopy provide unique spectral fingerprints for Arabidopsis floral stem vascular tissues
    Dinant, S.
    Wolff, N.
    De Marco, F.
    Vilaine, F.
    Gissot, L.
    Aubry, E.
    Sandt, C.
    Bellini, C.
    Le Hir, R.
    JOURNAL OF EXPERIMENTAL BOTANY, 2019, 70 (03) : 871 - 883
  • [36] Analysis of tooth tissues using Raman spectroscopy
    Timchenko, E. V.
    Timchenko, P. E.
    Volova, L. T.
    Rosenbaum, A. Yu.
    Kulabukhova, A. Yu.
    18TH INTERNATIONAL CONFERENCE PHYSICA.SPB, 2016, 769
  • [37] Study on Bladder Cancer Tissues with Raman Spectroscopy
    Wang Lei
    Fan Jin-hai
    Guan Zhen-feng
    Liu You
    Zeng Jin
    He Da-lin
    Huang Li-qing
    Wang Xin-yang
    Gong Hui-ling
    SPECTROSCOPY AND SPECTRAL ANALYSIS, 2012, 32 (01) : 123 - 126
  • [38] Raman spectroscopy for physiological investigations of tissues and cells
    Huser, Thomas
    Chan, James
    ADVANCED DRUG DELIVERY REVIEWS, 2015, 89 : 57 - 70
  • [39] Raman Spectroscopy of Changes in the Tissues of Teeth with Periodontitis
    Timchenko, Elena
    Timchenko, Pavel
    Volova, Larisa
    Frolov, Oleg
    Zibin, Maksim
    Bazhutova, Irina
    DIAGNOSTICS, 2020, 10 (11)
  • [40] Raman Spectroscopy and the Spectral Correlation Index for Predicting Wound Healing Outcome: Towards in vivo Application
    Berger, Adam G.
    Crane, Nicole J.
    Elster, Eric A.
    OPTICAL DIAGNOSTICS AND SENSING XVI: TOWARD POINT-OF-CARE DIAGNOSTICS, 2016, 9715