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Digital image analysis and fractal-based kinetic modelling for fungal biomass determination in solid-state fermentation

Paper ID Volume ID Publish Year Pages File Format Full-Text
3504 173 2012 8 PDF Available
Title
Digital image analysis and fractal-based kinetic modelling for fungal biomass determination in solid-state fermentation
Abstract

This work deals with a non-destructive method involving image analysis and kinetic modelling to determine fungal biomass in solid-state fermentation (SSF). Fractal dimension, quantifying the morphological changes of mycelia-matrix from culture images, showed correlations with Penicillium decumbens biomass on lignocelluloses substrates. Kinetic models were constructed to describe the variation of fractal dimension of mycelia-matrix along with fungal growth. Fermentations on straw substrates with different particle lengths and moisture contents were carried out to validate the proposed models. Relative errors of the models were 0.541–5.221% for biomass and 0.454–3.885‰ for fractal dimension. Parameters δ and η in fractal kinetic models, which indicated the variation rates of fractal dimension, presented significant specificity for the specific growth rate of P. decumbens, thus can be used to predict fungal biomass in SSF. With advantages of low cost, reasonable accuracy and well adjustability, the coupling of dynamic imaging and computational modelling show potential in the on-line determination of fungal biomass in SSF.

► Influence of mycelia growth on the morphological change of matrix was explained. ► Kinetics of the variation of fractal dimension and fungal biomass were modeled. ► Model parameters of fractal kinetics showed specificity for fungal growth. ► Combined dynamic imaging and kinetic models is feasible in determining biomass.

Keywords
Image analysis; Fractal dimension; Modelling; Growth kinetics; Biomass; Solid-state fermentation
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Digital image analysis and fractal-based kinetic modelling for fungal biomass determination in solid-state fermentation
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Publisher
Database: Elsevier - ScienceDirect
Journal: Biochemical Engineering Journal - Volume 67, 15 August 2012, Pages 60–67
Authors
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Subjects
Physical Sciences and Engineering Chemical Engineering Bioengineering
Get Full-Text Now
Don't Miss Today's Special Offer
Price was $35.95
You save - $31
Price after discount Only $4.95
100% Money Back Guarantee
Full-text PDF Download
Online Support
Any Questions? feel free to contact us