Share Email Print

Proceedings Paper

High wavenumber Raman spectroscopic characterization of normal and oral cancer using blood plasma
Author(s): Rekha Pachaiappan; Aruna Prakasarao; Murugesan Suresh Kumar; Ganesan Singaravelu
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Blood plasma possesses the biomolecules released from cells/tissues after metabolism and reflects the pathological conditions of the subjects. The analysis of biofluids for disease diagnosis becomes very attractive in the diagnosis of cancers due to the ease in the collection of samples, easy to transport, multiple sampling for regular screening of the disease and being less invasive to the patients. Hence, the intention of this study was to apply near-infrared (NIR) Raman spectroscopy in the high wavenumber (HW) region (2500−3400 cm−1) for the diagnosis of oral malignancy using blood plasma. From the Raman spectra it is observed that the biomolecules protein and lipid played a major role in the discrimination between groups. The diagnostic algorithms based on principal components analysis coupled with linear discriminant analysis (PCA-LDA) with the leave-one-patient-out cross-validation method on HW Raman spectra yielded a promising results in the identification of oral malignancy. The details of results will be discussed.

Paper Details

Date Published: 14 February 2017
PDF: 7 pages
Proc. SPIE 10054, Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XV, 1005402 (14 February 2017); doi: 10.1117/12.2255602
Show Author Affiliations
Rekha Pachaiappan, Anna Univ., Chennai (India)
Aruna Prakasarao, Anna Univ., Chennai (India)
Murugesan Suresh Kumar, Anna Univ., Chennai (India)
Ganesan Singaravelu, Anna Univ., Chennai (India)

Published in SPIE Proceedings Vol. 10054:
Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XV
Anita Mahadevan-Jansen; Tuan Vo-Dinh; Warren S. Grundfest M.D., Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?