Production of enzymes via solid state fermentation from cereals

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: [e-mail]
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.

本数据库收录了209项实验中得到的487个以谷物为底物的酶量产量化数据（部分单实验可产出多种酶）。其涵盖的底物类型包含单一谷物底物，以及由食物残渣与农业工业残渣衍生的混合谷物底物（即谷物搭配其他底物）。主流底物分别为小麦（对应53项实验）、水稻（22项实验）与玉米（22项实验）。本研究中最常见的酶类为木聚糖酶（xylanase）、羧甲基纤维素酶（CMCase）与滤纸纤维素酶（FPase）。
本数据集以独立列的形式存储各维度细节，涵盖产酶微生物、酶产量、计量单位、培养时长、预处理方式、营养/诱导补料、优化方法及其他相关参数与细节，并附带学术文献引用。本数据库的架构支持对任意参数进行筛选（例如仅筛选以水稻秸秆为底物的实验、仅筛选木聚糖酶数据、仅选取特定计量单位以开展更合理的数据集对比、仅选取产量高于指定阈值的数据，或组合上述筛选条件）。每项实验的参考文献数据均存储于最后一列，完整参考文献列表则位于数据集的最后一个工作表中。

本数据集文件包含数据库说明文档，对各列含义与缩写术语进行了解释。

本数据库是题为《基于真菌固态发酵的谷物残渣产酶研究综述》的科研项目的一部分成果。
作者：约瑟夫·布尔金（Joseph Bourgine）¹、多米妮卡·亚历克莎·泰吉瑟罗娃（Dominika Alexa Teigiserova）²,³、玛丽安娜·汤姆森（Marianne Thomsen）²,³*
¹法国南特大学过程与生物过程工程系，地址：Rue Christian Pauc, CS 50609, 44300 南特，法国
²丹麦奥胡斯大学环境科学系生态工业系统分析研究组，地址：Frederiksborgvej 399, Postboks 358, DK-4000 罗斯基勒，丹麦
³奥胡斯大学循环生物经济中心
*通讯作者邮箱：[e-mail]

本研究属于欧盟地平线2020（Horizon 2020）计划下的DECISIVE（生物废弃物分散化增值利用）项目，项目编号为689229。本研究同时得到了奥胡斯大学循环生物经济中心与奥胡斯大学科学与技术研究生院的支持。