abstract

• Raman spectra of the skin of subjects with nickel allergy are analyzed and compared to the spectra of healthy subjects to detect possible biochemical differences in the structure of the skin that could help diagnose metal allergies in a noninvasive manner. Results show differences between the two groups of Raman spectra. These spectral differences can be classified using principal component analysis. Based on these findings, a novel computational technique to make a fast evaluation and classification of the Raman spectra of the skin is presented and proposed as a noninvasive technique for the detection of nickel allergy. © 2013 SPIE.

authors

• Alda J.
• Castillo-Martínez C.
• González Contreras Francisco Javier
• Hernández-Blanco D.
• Moncada B.
• Valdes-Rodríguez R.

publication date

• 2013-01-01

funding provided via

• Fundación Banco Santander  Grant
• Universidad Complutense de Madrid, UCM  Grant

published in

• Journal of Biomedical Optics  Journal

keywords

• dermatology; nickel allergy; noninvasive diagnosis; principal component analysis; Raman spectroscopy Computational technique; Evaluation and classifications; Healthy subjects; Metal allergy; Non-invasive diagnosis; Noninvasive technique; Spectral differences; Dermatology; Nickel; Principal component analysis; Raman scattering; Raman spectroscopy; Allergies; nickel; adolescent; adult; article; case control study; chemistry; female; human; male; methodology; middle aged; principal component analysis; Raman spectrometry; skin; skin allergy; Adolescent; Adult; Case-Control Studies; Dermatitis, Allergic Contact; Female; Humans; Male; Middle Aged; Nickel; Principal Component Analysis; Skin; Spectrum Analysis, Raman

Digital Object Identifier (DOI)

• 10.1117/1.JBO.18.6.061206

PubMed ID

• 23124058

start page

end page

volume

• 18

issue

• 6