Attempt to Reliably Identify Oral Cancer Salivary Biomarkers Using Near-Infrared Spectroscopy and Savitzky-Golay Algorithm

Abstract

The study aims to identify common oral cancer biomarkers from saliva using near-infrared spectroscopy (NIRS). Measurements were conducted for L-proline and L-fucose in liquid solution, for pure proline and fucose, and for saliva sample of an oral cancer patient. Derivative peaks of NIR absorbance spectra were used to identify the biomarkers. Savitzky-Golay algorithm was used on MATLAB® to compute absorbance spectra and its derivatives from the raw data.