An Automated System for Determining the Optimal Conditions of Industrial Waste Fermentative Biodegradation

Abstract

The task of automated searching for the optimal conditions of cellulose-containing waste fermentative biodegradation process has been considered. It has been proposed to use the system of lysed zone optical recognition to determine the ferment strength, and a software and hardware complex providing simultaneous comparison of several strains has been developed. The system of selecting the most effective decomposer and biodegradation conditions has been created. The proposed system may be used for optimization of cultivating the wide array of microorganisms, especially in conditions of frequent changing initial substrate sources.