A Weibull statistics-based lignocellulose saccharification model and a built-in parameter accurately predict lignocellulose hydrolysis performance.
A Weibull statistics-based lignocellulose saccharification model and a built-in parameter accurately predict lignocellulose hydrolysis performance.
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DOI：
10.1002/biot.201400723
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发表时间：
2015-09
影响因子：
4.7
通讯作者：
Mingyu Wang;Lijuan Han;Shasha Liu;Xuebing Zhao;Jinghua Yang;S. Loh;Xiaomin Sun;Chenxi Zhang;Xu Fang
中科院分区：
文献类型：
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作者：
Mingyu Wang;Lijuan Han;Shasha Liu;Xuebing Zhao;Jinghua Yang;S. Loh;Xiaomin Sun;Chenxi Zhang;Xu Fang
来自木质纤维生物质的可再生能源被认为是耗尽化石燃料的替代能源。为了改进这一技术，我们的目标是建立木质纤维素酶降解过程的稳健数学模型。通过对96组以前发表的和新获得的木质纤维素糖化结果进行分析，并将其符合威布尔分布，我们发现威布尔统计量可以准确地预测木质纤维素的糖化数据，而与底物、酶和糖化条件的类型无关。基于威布尔统计，建立了木质纤维素酶降解的数学模型。进一步分析了模型的数学结构和糖化实验数据，说明了这两个参数在该模型中的重要性。特别是，定义了特征时间的λ值代表了糖化系统的整体性能。通过对糖化实验数据的统计分析和对λ和n值变化时葡萄糖产生水平的分析，进一步支持了这一观点。综上所述，所构建的基于威布尔统计的模型能够准确预测木质纤维素水解行为，可以使用λ参数来评价木质纤维素酶降解的整体性能。讨论了该模型和λ值在糖化性能评价中的优势和应用前景。
Renewable energy from lignocellulosic biomass has been deemed an alternative to depleting fossil fuels. In order to improve this technology, we aim to develop robust mathematical models for the enzymatic lignocellulose degradation process. By analyzing 96 groups of previously published and newly obtained lignocellulose saccharification results and fitting them to Weibull distribution, we discovered Weibull statistics can accurately predict lignocellulose saccharification data, regardless of the type of substrates, enzymes and saccharification conditions. A mathematical model for enzymatic lignocellulose degradation was subsequently constructed based on Weibull statistics. Further analysis of the mathematical structure of the model and experimental saccharification data showed the significance of the two parameters in this model. In particular, the λ value, defined the characteristic time, represents the overall performance of the saccharification system. This suggestion was further supported by statistical analysis of experimental saccharification data and analysis of the glucose production levels when λ and n values change. In conclusion, the constructed Weibull statistics-based model can accurately predict lignocellulose hydrolysis behavior and we can use the λ parameter to assess the overall performance of enzymatic lignocellulose degradation. Advantages and potential applications of the model and the λ value in saccharification performance assessment were discussed.