Next Article in Journal
An Enzyme-Induced Novel Biosensor for the Sensitive Electrochemical Determination of Isoniazid
Next Article in Special Issue
Raman Computational and Experimental Studies of Dopamine Detection
Previous Article in Journal
Erratum: Irvine, G.W.; Tan, S.N.; Stillman, M.J. A Simple Metallothionein-Based Biosensor for Enhanced Detection of Arsenic and Mercury. Biosensors 2017, 7, 14
Previous Article in Special Issue
Surface-Enhanced Raman Scattering-Based Immunoassay Technologies for Detection of Disease Biomarkers
Article Menu
Issue 2 (June) cover image

Export Article

Open AccessArticle
Biosensors 2017, 7(2), 20; doi:10.3390/bios7020020

Raman Spectroscopy of Head and Neck Cancer: Separation of Malignant and Healthy Tissue Using Signatures Outside the “Fingerprint” Region

1
Department of Physics & Engineering Physics, Fordham University, 441 East Fordham Road, Bronx, NY 10458, USA
2
Icahn School of Medicine at Mount Sinai Hospital, 1 Gustave L. Levy Place, New York, NY 10029, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Torsten Frosch
Received: 20 August 2016 / Revised: 1 May 2017 / Accepted: 11 May 2017 / Published: 14 May 2017
(This article belongs to the Collection Raman and IR Spectroscopic Sensing)
View Full-Text   |   Download PDF [1369 KB, uploaded 15 May 2017]   |  

Abstract

The ability to rapidly and accurately discriminate between healthy and malignant tissue offers surgeons a tool for in vivo analysis that would potentially reduce operating time, facilitate quicker recovery, and improve patient outcomes. To this end, we investigate discrimination between diseased tissue and adjacent healthy controls from patients with head and neck cancer using near-infrared Raman spectroscopy. Our results indicate previously unreported peaks in the Raman spectra that lie outside the conventional “fingerprint” region (400 cm-1–1800 cm -1) played an important role in our analysis and in discriminating between the tissue classes. Preliminary multivariate statistical analyses of the Raman spectra indicate that discrimination between diseased and healthy tissue is possible based on these peaks. View Full-Text
Keywords: Raman spectroscopy; head and neck cancer; tissue diagnostics; principal component analysis; multivariate statistics; otolaryngology Raman spectroscopy; head and neck cancer; tissue diagnostics; principal component analysis; multivariate statistics; otolaryngology
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Holler, S.; Mansley, E.; Mazzeo, C.; Donovan, M.J.; Sobrero, M.; Miles, B.A. Raman Spectroscopy of Head and Neck Cancer: Separation of Malignant and Healthy Tissue Using Signatures Outside the “Fingerprint” Region. Biosensors 2017, 7, 20.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Biosensors EISSN 2079-6374 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top