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Abstract

Background:

The successful discrimination of the subtle spectral characteristics of human skin in Raman spectra requires optimal acquisition parameters. We explore the translational momentum of Raman spectroscopy towards clinical practice by fine-tuning two basic experimental parameters (irradiance and integration time) of a portable Raman system used in skin measurements.

Objective:

The aim of this study is to construct a generic protocol for recording the optimal Raman signal for in vivo skin measurements.

Methods:

In vivo spectra were collected from two individuals of normal Fitzpatrick type III skin type. We assessed two different irradiation setups with three different integration times each by separating the raw signal from the noise using multivariate analysis.

Results:

Our results showed that under a time threshold no optimal measurement conditions can be achieved. On the other hand, increased laser power and acquisition time do not offer a significant advantage over the selected lower values. Baseline correction is the most critical component for analysing normalized skin Raman spectra.

Conclusions:

A simple working protocol based on multivariate statistics offers the relative adjustment of irradiance and signal integration time among other experimental parameters that must be examined for optimal Raman measurements of skin.

Keywords

Raman spectroscopy skin multivariate statistical analysis PCA

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References

[1] Baranska

and Byrne

H.J.

, Optical diagnostics-spectropathology for the next generation, Analyst140 (2015), 2064–2065.

[2] Keating

M.E.

Nawaz

Bonnier

and Byrne

H.J.

, Multivariate statistical methodologies applied in biomedical Raman spectroscopy: Assessing the validity of partial least squares regression using simulated model datasets, Analyst140 (2015), 2482–2492.

[3] Kerr

L.T.

Byrne

H.J.

and Hennelly

B.M.

, Optimal choice of sample substrate and laser wavelength for Raman spectroscopic analysis of biological specimen, Analytical Methods7 (2015), 5041–5052.

[4] Kourkoumelis

Balatsoukas

Moulia

Elka

Gaitanis

and Bassukas

I.D.

, Advances in the in vivo Raman spectroscopy of malignant skin tumors using portable instrumentation, Int. J. Mol. Sci.16 (2015), 14554–14570.

[5] Kourkoumelis

Polymeros

and Tzaphlidou

, Background estimation of biomedical Raman spectra using a geometric approach, Spectroscopy: An International Journal27 (2012), 311–317.

[6] Kourkoumelis

and Tzaphlidou

, Multivariate statistical evaluation of bone site and sex as parameters for the Fourier transform infrared spectroscopic study of normal bone, Spectroscopy24 (2010), 99–104.

[7] Lui

Zhao

J.H.

McLean

and Zeng

H.S.

, Real-time Raman spectroscopy for in vivo skin cancer diagnosis, Cancer Research72 (2012), 2491–2500.

[8] Ramirez-Elias

M.G.

Alda

and Gonzalez

F.J.

, Noise and artifact characterization of in vivo Raman spectroscopy skin measurements, Applied Spectroscopy66 (2012), 650–655.

[9] Schleusener

Gluszczynska

Reble

Gersonde

Helfmann

Fluhr

J.W.

Lademann

Rowert-Huber

Patzelt

and Meinke

M.C.

, In vivo study for the discrimination of cancerous and normal skin using fibre probe-based Raman spectroscopy, Experimental dermatology24 (2015), 767–772.

10.

[10] Silveira

F.L.

Pacheco

M.T.T.

Bodanese

Pasqualucci

C.A.

Zangaro

R.A.

and Silveira

, Discrimination of non-melanoma skin lesions from non-tumor human skin tissues in vivo using Raman spectroscopy and multivariate statistics, Lasers in Surgery and Medicine47 (2015), 6–16.

11.

[11] Tfaili

Josse

Gobinet

Angiboust

J.F.

Manfait

and Piot

, Shedding light on the laser wavelength effect in Raman analysis of skin epidermises, Analyst137 (2012), 4241–4246.

12.

[12] Wang

Zhao

Short

and Zeng

, Real-time in vivo cancer diagnosis using Raman spectroscopy, Journal of Biophotonics8 (2015), 527–545.

13.

[13] Zakharov

V.P.

Bratchenko

I.A.

Artemyev

D.N.

Myakinin

O.O.

Kornilin

D.V.

Kozlov

S.V.

and Moryatov

A.A.

, Comparative analysis of combined spectral and optical tomography methods for detection of skin and lung cancers, Journal of Biomedical Optics20 (2015), 025003.

14.

[14] Zhao

Lui

Kalia

and Zeng

, Real-time Raman spectroscopy for automatic in vivo skin cancer detection: An independent validation, Analytical and Bioanalytical Chemistry405(27) (2015), 8373–8379.

The effect of irradiance and integration time in in vivo normal skin Raman measurements assessed by multivariate statistical analysis

Abstract

Background:

Objective:

Methods:

Results:

Conclusions:

Keywords

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References