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Journal ArticleDOI

A review of recent developments in modeling of microbial growth kinetics and intraparticle phenomena in solid-state fermentation

TLDR
The current article reviews the advances that has been made in both the empirical- and mechanistic-type kinetic models and discusses the insights that have been achieved through the modeling work and the improvements to models that will be necessary in the future.
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This article is published in Biochemical Engineering Journal.The article was published on 2004-01-01. It has received 179 citations till now.

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Citations
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Journal ArticleDOI

Solid-state fermentation — are there any biotechnological advantages?

TL;DR: With increasing progress and application of rational methods in engineering, SSF will achieve higher levels in standardisation and reproducibility in the future, which can make SSF the preferred technique for special fields of application such as the production of enzymes and food.
Journal ArticleDOI

Application of solid-state fermentation to ligninolytic enzyme production

TL;DR: In this paper, the authors present a review of the production of ligninolytic enzymes by Solid State Fermentation (SSF) technique, which has become an attractive alternative to submerged fermentation (SmF) for specific applications due to the recent improvements in reactor designs.
Journal ArticleDOI

The Arrhenius Equation Revisited

TL;DR: The use of the exponential model or similar empirical alternative would eliminate the confusing temperature axis inversion, the unnecessary compression of the temperature scale, and the need for kinetic assumptions that are hard to affirm in food systems.
Journal ArticleDOI

Visualization and curve-parameter estimation strategies for efficient exploration of phenotype microarray kinetics.

TL;DR: A comprehensive framework for data visualization and parameter estimation according to user choices is provided, and a flexible graphical representation strategy for displaying the results is proposed, including 95% confidence intervals for the estimated parameters.
Journal ArticleDOI

Pectinase production from lemon peel pomace as support and carbon source in solid-state fermentation column-tray bioreactor

TL;DR: The use of lemon peel pomace and the use of A. niger Aa-20 in SSF suggest as a very promising process for pectinase production.
References
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Journal ArticleDOI

Heat transfer simulation in solid substrate fermentation

TL;DR: A mathematical model was developed and tested to simulate the generation and transfer of heat in solid substrate fermentation (SSF) and it was shown that conduction through the fermentation fixed bed was the main heat transfer resistance.
Journal ArticleDOI

Recent developments in modeling of solid-state fermentation: heat and mass transfer in bioreactors

TL;DR: The current article reviews these advances, showing how the various transport phenomena have been modeled and discusses the insights that have been achieved through the modeling work and the improvements to models that will be necessary in order to make them even more powerful tools in the optimization of bioreactor performance.
Journal ArticleDOI

Validation of a model describing two-dimensional heat transfer during solid-state fermentation in packed bed bioreactors.

TL;DR: A two-dimensional heat transfer model was validated against two experimental studies from the literature which describe the growth of Aspergillus niger during solid-state fermentation in packed bed bioreactors and suggested that evaporation can remove as much as 78% of the heat from the bed during times of peak heat generation.
Book ChapterDOI

Biochemical Engineering Aspects of Solid State Bioprocessing

TL;DR: This review presents the current state of understanding of biochemical engineering aspects of SSF processing, including not only the fermentation itself, but also the auxiliary steps of substrate and inoculum preparation and downstream processing and waste disposal.
Journal ArticleDOI

Predictions of growth for Listeria monocytogenes and Salmonella during fluctuating temperature

TL;DR: Predictive performance of a dynamic modelling approach combined with predictions from the Food MicroModel software applied to the growth of Listeria monocytogenes and Salmonella in pasteurised milk, chicken liver pâté and minced chicken under constant as well as fluctuating temperatures was found.
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