Applying stochastic analysis of experimental data to optimize the bioactive compounds extraction from agro-food industry waste

Abstract

Experimental research focused on 6 products (bioactive compounds extracts from forest fruits and agro-food industry waste) and a maximum of 9 experimental parameters determined. The purpose of applying the stochastic analysis was to establish predictive elements, which allow good data interpolation, ensure the greatest credibility of the experimental results, including the values of factors of influence on the extraction process (concentration of ethyl alcohol, hydromodule, duration and temperature extraction, pulse number, field intensity, voltage) not found experimentally, as well as the determination of the most pronounced and the weakest interdependences of the measured parameters.