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Modeling conversion and transport phenomena in solid-state fermentation: A review and perspectives

Paper ID Volume ID Publish Year Pages File Format Full-Text
14872 1278 2006 19 PDF Available
Title
Modeling conversion and transport phenomena in solid-state fermentation: A review and perspectives
Abstract

Solid-state fermentation (SSF) is accompanied inevitably by development of concentration and temperature gradients within the substrate particles and microbial biofilms. These gradients are needed for driving the transport of substrates and products. In addition, concentration gradients have been suggested to be crucial for obtaining the characteristics that define the products of SSF; nevertheless, gradients are also known to result in reduced productivity and unwanted side reactions. Solid-state fermentations are generally batch processes and this further complicates their understanding as conditions change with time. Mathematical models are therefore needed for improving the understanding of SSF processes and allowing their manipulation to achieve the desired outcomes. Existing models of SSF processes describe coupled substrate conversion and diffusion and the consequent microbial growth. Existing models disregard many of the significant phenomena that are known to influence SSF. As a result, available models cannot explain the generation of the numerous products that form during any SSF process and the outcome of the process in terms of the characteristics of the final product. This review critically evaluates the proposed models and their experimental validation. In addition, important issues that need to be resolved for improved modeling of SSF are discussed.

Keywords
Solid-state fermentation; Fungi; Transport phenomena; Reaction-diffusion; Model
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Publisher
Database: Elsevier - ScienceDirect
Journal: Biotechnology Advances - Volume 24, Issue 2, March–April 2006, Pages 161–179
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
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