Mixtures of 3D disperse systems with nano- and micro-particles: Optical characterization

Abstract

Multiparameter analysis of simultaneous optical data for systems of nano- and/or micro-particles (3D disperse systems, dispersions, colloids, ensembles) by presentation of system characteristics as N-dimensional vectors of optical parameters (ND-vectors) can help to elucidate changes in the state of the particles in systems. In this paper, the application of the ND-vector approach is shown on the examples of dispersion mixtures: a mixture of influenza virus particles with albumin proteins (as a model of dispersions at the process of vaccine production); a mixture of coli bacillus and clay dispersions (as natural water model). This approach can serve as an on-line control platform for the management of technological processes with mixtures.