Investigation of cholesterol concentration based on serum fluorescence spectra

In this paper, the fluorescence spectrum of serum and neural network theory was combined and used to analyze the blood cholesterol concentration. Studies show that there is fluorescence spectrum in the wave band 425 to 600 nm with a peak near 460nm when the excitation wavelength is 410nm; the shape of curves keeps almost consistent with cholesterol concentration; there is no significant correlation between fluorescence intensity at 460nm and cholesterol concentration, but random, which indicates that there are other fluorescence emission at 460nm . Based on the evident correlation between serum fluorescence intensity and cholesterol concentration in the wave band of 450 to 470nm , a neural network model was built to determine the cholesterol concentration. It provides a new spectral test method of cholesterol