Analysis of extinction spectrum apparent property and extraction of specific wavelength of milk fat particles in liquid absorbing medium

This paper proposes a method for extracting the specific wavelengths of milk fat particles in a liquid absorbing medium by measuring particle size with the method of total light scattering. After considering the absorption of incident light by the liquid medium, this paper conducts simulation analysis of apparent optical parameters. At the same time, this paper simulates the extinction spectrum of common RR distributed visible light using the apparent extinction coefficient and proposes a method for extracting specific wavelengths based on the immune particle swarm optimization algorithm (IA-PSO). According to this method, the wavelength point with the smallest root mean square error between the simulated extinction value and the extinction value is selected as the measuring wavelength, which can effectively eliminate the subjective effect in the process of optimal wavelength selection. To verify the validity of the method proposed by this paper, inversion calculation of the unimodal R-R distributed spectra and the bimodal R-R distributed spectra is performed respectively in the independent mode using the PT algorithm with simulated data. In the non-independent mode, the inversion of particle size distribution is performed based on the genetic optimization algorithm. The simulation experiment results indicate that the proposed method for extracting the specific wavelengths of milk fat particles in the liquid absorbing medium can effectively improve the accuracy and stability of the inversion results and reduce measuring errors. © 2020 Totem Publisher, Inc. All rights reserved.