Jiangsu Co-Innovation Center of Efficient Processing and Utilization of Forest Resources, College of Chemical Engineering, Nanjing Forestry University, Nanjing 210037, People's Republic of China; Key Laboratory of Forestry Genetics & Biotechnology (Nanjing Forestry University), Ministry of Education, Nanjing 210037, People's Republic of China; Jiangsu Province Key Laboratory of Green Biomass-based Fuels and Chemicals, Nanjing 210037, People's Republic of China.
Institute of Industrial Biotechnology, GC University, Lahore 54000, Pakistan.
Bioresour Technol. 2021 Nov;340:125740. doi: 10.1016/j.biortech.2021.125740. Epub 2021 Aug 12.
The prerequisite for cellulosic biochemical production from lignocellulosic materials is efficient enzymatic hydrolysis that is a complicated heterogeneous catalytic process and affected by the complex lignin-cellulose-hemicellulose network. Understanding the main influencing factors for enzymatic hydrolysis is of substantial significance to guide the design of a biorefinery process. An experimental study of the pretreatment indicated that acid pretreatment is preferable for herbaceous feedstocks. Therefore, the classic dilute sulfuric acid pretreatment was utilized to hydrolyze and remove hemicellulose from three representative types of agricultural straws at various intensities. From the enzymatic hydrolysis of residual cellulose perspective, the crystallinity index and enzyme accessibility of the pretreated materials were also mathematically correlated to hemicellulose removals, respectively. For the better insight and understanding of the mathematical logics, the linear and nonlinear kinetic models were therefore compared, and the relationship was established by the five-parameter logistic equations and Allosteric sigmoidal models with well fittings.
木质纤维素材料的纤维素生化生产的前提条件是高效的酶水解,这是一个复杂的多相催化过程,受到复杂的木质素-纤维素-半纤维素网络的影响。了解酶水解的主要影响因素对于指导生物炼制过程的设计具有重要意义。预处理的实验研究表明,酸预处理更适合草本饲料。因此,采用经典的稀硫酸预处理方法,在不同强度下对三种典型的农业秸秆进行水解和去除半纤维素。从残余纤维素的酶水解角度来看,预处理材料的结晶度指数和酶可及性也分别与半纤维素去除量进行了数学相关。为了更好地了解和理解数学逻辑,因此比较了线性和非线性动力学模型,并通过五参数逻辑方程和变构 S 型模型建立了关系,拟合效果良好。