Department of Process Engineering and Chemical Technology, Faculty of Chemistry, Gdańsk University of Technology, Narutowicza 11/12 Street, 80-233 Gdańsk, Poland.
Department of Molecular Biotechnology and Microbiology, Faculty of Chemistry, Gdańsk University of Technology, Narutowicza 11/12 Street, 80-233 Gdańsk, Poland.
Molecules. 2018 Nov 20;23(11):3029. doi: 10.3390/molecules23113029.
The need to pre-treat lignocellulosic biomass prior to dark fermentation results primarily from the composition of lignocellulose because lignin hinders the processing of hard wood towards useful products. Hence, in this work a two-step approach for the pre-treatment of energy poplar, including alkaline pre-treatment and enzymatic saccharification followed by fermentation has been studied. Monoethanolamine (MEA) was used as the alkaline catalyst and diatomite immobilized bed enzymes were used during saccharification. The response surface methodology (RSM) method was used to determine the optimal alkaline pre-treatment conditions resulting in the highest values of both total released sugars (TRS) yield and degree of lignin removal. Three variable parameters (temperature, MEA concentration, time) were selected to optimize the alkaline pre-treatment conditions. The research was carried out using the Box-Behnken design. Additionally, the possibility of the re-use of both alkaline as well as enzymatic reagents was investigated. Obtained hydrolysates were subjected to dark fermentation in batch reactors performed by with a final result of 22.99 mL H₂/g energy poplar (0.6 mol H₂/mol TRS).
需要对木质纤维素生物质进行预处理,然后再进行黑暗发酵,这主要是由于木质纤维素的组成造成的,因为木质素阻碍了硬木向有用产品的加工。因此,在这项工作中,研究了一种两步法预处理能源杨树,包括碱性预处理和酶解糖化,然后进行发酵。单乙醇胺(MEA)用作碱性催化剂,硅藻土固定床酶用于糖化。响应面法(RSM)用于确定最佳的碱性预处理条件,以获得最高的总释放糖(TRS)产量和木质素去除程度。选择三个变量参数(温度、MEA 浓度、时间)来优化碱性预处理条件。研究采用 Box-Behnken 设计进行。此外,还研究了碱性试剂和酶试剂重复使用的可能性。得到的水解产物在分批式反应器中进行黑暗发酵,最终结果为 22.99 mL H₂/g 能源杨树(0.6 mol H₂/mol TRS)。
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