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Comparative study of oral dysplasia by conventional and surface enhanced Raman spectroscopy of whole saliva

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Oral cancer has a poor prognosis of only 50% even in the light of current technological advances. This poor prognosis may be attributed to the still unmet clinical need to diagnose oral pre-cancer and dysplasia. Raman spectroscopy, which can detect subtle biochemical changes, has been explored for the diagnosis of cancer. This study aims to address the clinical need by exploiting the high amplification factor of Surface Enhanced Raman Spectroscopy (SERS) to analyse the saliva samples of 10 healthy controls and 10 patients with oral dysplasia. Furthermore, this technique was compared to conventional Raman spectroscopy. The saliva samples were centrifuged at 14000g for 15 minutes and the supernatant was applied directly on the SERS substrate and dried. Simultaneously, the saliva samples were prepared in the same way on slides for conventional Raman analysis. A peak at 2108 cm-1, attributed to salivary thiocyanate was present in all samples from dysplasia subjects but absent in samples from healthy non-smoking subjects. Partial least squares-discriminant analysis models for classification of oral pre-cancer were developed for both Raman spectroscopy and SERS to discriminate between healthy, mild and moderate dysplasia cohorts.

Original languageEnglish
Title of host publicationBiomedical Vibrational Spectroscopy 2020
Subtitle of host publicationAdvances in Research and Industry
EditorsWolfgang Petrich, Zhiwei Huang
PublisherSPIE
ISBN (Electronic)9781510632356
DOIs
Publication statusPublished - 2020
EventBiomedical Vibrational Spectroscopy 2020: Advances in Research and Industry - San Francisco, United States
Duration: 1 Feb 20202 Feb 2020

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume11236
ISSN (Print)1605-7422

Conference

ConferenceBiomedical Vibrational Spectroscopy 2020: Advances in Research and Industry
Country/TerritoryUnited States
CitySan Francisco
Period1/02/202/02/20

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Multivariate statistics
  • Oral dysplasia
  • Raman spectroscopy
  • Surface Enhanced Raman Spectroscopy

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