Investigating a non-destructive alternative for a preliminary evaluation of fungal growth in solid state fermentations

Abstract

Solid state fermentation (SSF) is an ancient technique which keeps attracting the attention of the food and biotechnology industries; however, a direct quantification of microbial biomass is still a fundamental challenge in this type of processes. Typically, growth is measured using indirect and destructive methods which do not allow a continuous evaluation of the evolution of microbial biomass within a single system. This article presents a non-destructive, quick and simple technique, based on digital imaging analysis (DIA) for the evaluation of growth in SSF laboratory experiments. DIA uses computational analysis of images from a SSF to measure areas and colour changes on a surface. The method can then be used to monitor microbial growth by assigning quantitative values for the growth of filamentous fungi. Firstly, studies on agar plates are used for the description of the method and to illustrate how it can be used to monitor fungal colony areas and densities. Following that, agro-industrial residues are used to demonstrate the application of the technique. DIA proved to be a practical and inexpensive tool to measure colony areas and densities. Furthermore, it is a non-destructive and non-intrusive method, which means that the evaluation of growth can be achieved within a single system.

Keywords: Colour mean; Digital imaging analysis; Fungal growth; Solid state fermentation.