Next Article in Journal
A Biosensor for Urea from Succinimide-Modified Acrylic Microspheres Based on Reflectance Transduction
Next Article in Special Issue
Phantom with Pulsatile Arteries to Investigate the Influence of Blood Vessel Depth on Pulse Oximeter Signal Strength
Previous Article in Journal
The Effect on Wireless Sensor Communication When Deployed in Biomass
Sensors 2011, 11(9), 8309-8322; doi:10.3390/s110908309

Micro-Raman Spectroscopy and Univariate Analysis for Monitoring Disease Follow-Up

1 CNR (Consiglio Nazionale delle Ricerche), Istituto di Cibernetica “E. Caianiello”, 80078, Pozzuoli, Italy 2 Biophysics and Nanoscience Centre, CNISM, Facoltà di Scienze, Università della Tuscia, 01100, Viterbo, Italy 3 Dipartimento di Scienze Biomediche, Università di Foggia, 71100, Foggia, Italy 4 Dipartimento di Medicina Sperimentale, Seconda Università di Napoli, 81100, Naples, Italy
* Author to whom correspondence should be addressed.
Received: 7 July 2011 / Revised: 17 August 2011 / Accepted: 18 August 2011 / Published: 25 August 2011
(This article belongs to the Special Issue Optical Sensors in Medicine)
View Full-Text   |   Download PDF [314 KB, uploaded 21 June 2014]   |   Browse Figures


Micro-Raman spectroscopy is a very promising tool for medical applications, thanks to its sensitivity to subtle changes in the chemical and structural characteristics of biological specimens. To fully exploit these promises, building a method of data analysis properly suited for the case under study is crucial. Here, a linear or univariate approach using a R2 determination coefficient is proposed for discriminating Raman spectra even with small differences. The validity of the proposed approach has been tested using Raman spectra of high purity glucose solutions collected in the 600 to 1,600 cm−1 region and also from solutions with two known solutes at different concentrations. After this validation step, the proposed analysis has been applied to Raman spectra from oral human tissues affected by Pemphigus Vulgaris (PV), a rare life-threatening autoimmune disease, for monitoring disease follow-up. Raman spectra have been obtained in the wavenumber regions from 1,050 to 1,700 cm−1 and 2,700 to 3,200 cm−1 from tissues of patients at different stages of pathology (active PV, under therapy and PV in remission stage) as confirmed by histopathological and immunofluorescence analysis. Differences in the spectra depending on tissue illness stage have been detected at 1,150–1,250 cm−1 (amide III) and 1,420–1,450 cm−1 (CH3 deformation) regions and around 1,650 cm−1 (amide I) and 2,930 cm−1 (CH3 symmetric stretch). The analysis of tissue Raman spectra by the proposed univariate method has allowed us to effectively differentiate tissues at different stages of pathology.
Keywords: oral tissues; Raman microspectroscopy; univariate data analysis; follow-up monitoring oral tissues; Raman microspectroscopy; univariate data analysis; follow-up monitoring
This is an open access article distributed under the Creative Commons Attribution License (CC BY) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Share & Cite This Article

Further Mendeley | CiteULike
Export to BibTeX |
EndNote |
MDPI and ACS Style

Camerlingo, C.; Delfino, I.; Perna, G.; Capozzi, V.; Lepore, M. Micro-Raman Spectroscopy and Univariate Analysis for Monitoring Disease Follow-Up. Sensors 2011, 11, 8309-8322.

View more citation formats

Related Articles

Article Metrics

For more information on the journal, click here


[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert