Human hair analysis based on data obtained from Raman microspectroscopy and imaging experiment

Abstract

Abstract:

With the fast progress in multi-channel detection technology, integrated microscopy and data acquisition together with analysis methods, the technology of infrared and Raman spectroscopy has been intensively and extensively applied in biological and biomedical fields. In this work, Raman microspectroscopy and imaging was applied to examine human hair samples which were retrieved from both healthy persons and cancer patients. Through MATLAB programming, we used multivariate statistical analysis methods such as principal component analysis (PCA), hierarchical clustering analysis (HCA) to analyze the hair’s spectral data. Our results reveal the notable difference in hair spectral analysis between the healthy people and the cancer patients, indicating that the technique of Raman microspectroscopy and imaging combined with the proper data treatment approach have a promising potential for the clinical application in disease diagnosis and prediction.

Key words: spectroscopy, biospectroscopy, principal component analysis, Raman microspectroscopy and imaging

CLC Number:

O433

FANG Yusheng , WEI Xiaoli, HUANG Qing. Human hair analysis based on data obtained from Raman microspectroscopy and imaging experiment[J]. J4, 2013, 30(6): 651-657.

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