Production of enzymes via solid state fermentation from cereals

Published: 10-01-2020| Version 1 | DOI: 10.17632/k2xv3yss8m.1
Dominika Teigiserova


The database contains 487 quantified enzymes production examples using cereals as a substrate in 209 experiments (some experiment include several enzymes). It covers both single (cereal) and mixed substrates (cereal plus other substrates) from food waste and agri-industrial residues. Main substrates are wheat (53 experiments), rice (22 experiments) and corn (22 experiments). The most common enzymes are xylanase, CMCase, FPase. The dataset consists of separated columns with details on the organisms; yield; unit; incubation time; pretreatment; nutritive or inducing supplement; optimization method; and other parameters and details, with references to scientific articles. The database was structured in a way that makes it possible to filter any parameter (for example it is possible to select only rice stray as substrates, only xylanase, only certain units to make a more appropriate data comparison, only yield above a certain number, and combination of such parameters.). Each experiment includes data on the reference in the last column. The full reference list is in the last sheet of the dataset. The file includes an introduction to the database with a description of each column and abbreviations. This database was produced as part of the research for “The review of enzyme production from cereal residues via solid state fermentation with fungi” Joseph Bourgine1, Dominika Alexa Teigiserova2,3, Marianne Thomsen2,3* 1 University Nantes, Department of Process and Bioprocess Engineering, Rue Christian Pauc, CS 50609, 44300 Nantes, France 2 Research Group on EcoIndustrial System Analysis, Department of Environmental Science, Aarhus University, Frederiksborgvej 399, Postboks 358, DK-4000, Roskilde, Denmark 3 Aarhus University Centre for Circular Bioeconomy *Corresponding Author email: The research was performed as part of the Horizon 2020 project DECISIVE (Decentralised valorisation of biowaste) under grant agreement N° 689229. The work was further supported by Aarhus University Centre for Circular Bioeconomy and Aarhus University Graduate School of Science and Technology.

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