Mathematical Modelling of Alkaline and Ionic Liquid Pretreated Coconut Husk Enzymatic Hydrolysis
IF 1.3
Q3 ENGINEERING, CHEMICAL
A. Fatmawati, Aries Anggoro, Kamila Adila Muslim, A. Widjaja, T. Nurtono, H. Sangian
求助PDF
{"title":"Mathematical Modelling of Alkaline and Ionic Liquid Pretreated Coconut Husk Enzymatic Hydrolysis","authors":"A. Fatmawati, Aries Anggoro, Kamila Adila Muslim, A. Widjaja, T. Nurtono, H. Sangian","doi":"10.9767/BCREC.16.2.10306.331-341","DOIUrl":null,"url":null,"abstract":"The problem of crude oil reserve shortage and air quality decline currently have led researches on renewable fuel such as bioethanol and biohydrogen. The attempt to provide such biofuel involves the utilization of enormously available wasted materials, lignocellulose. Coconut husk is one of such materials available in Indonesia. The previous work had reported the quantity of total reducing sugar produced after the enzymatic hydrolysis of pretreated coconut husk. The pretreatment methods used were dilute sodium hydroxide solution (1 and 4% w/v), 1,3methylmethylimidazolium dimethyl phosphate ionic liquid and the combination of both methods. This work focused on constructing the mathematical model which describes the kinetic of those enzymatic hydrolysis reactions. Mathematical model expressions help describing as well as predicting the process behavior, which is commonly needed in the process design and control. The development of mathematical model in this work was done based on the total reducing sugar concentration resulted in batch hydrolysis reaction. The kinetic parameters including initial available substrate (S0), maximum reaction rate (rmax), and half-maximum rate constant (KM). According to the values of half-maximum rate constant (KM), the enzymatic hydrolysis performance of coconut husk treated using ionic liquid is better than that treated using dilute alkaline solution as the former had shown lower KM value and hence higher enzyme affinity to the substrate. The best hydrolysis result was performed using combination of 1% dilute sodium hydroxide solution and ionic liquid with kinetic model parameter of 0.5524 g/L.h of rmax, 0.0409 g/L of KM, and 4.1919 g/L of S0. Copyright © 2021 by Authors, Published by BCREC Group. This is an open access article under the CC BY-SA License (https://creativecommons.org/licenses/by-sa/4.0).","PeriodicalId":46276,"journal":{"name":"Bulletin of Chemical Reaction Engineering and Catalysis","volume":"16 1","pages":"331-341"},"PeriodicalIF":1.3000,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bulletin of Chemical Reaction Engineering and Catalysis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.9767/BCREC.16.2.10306.331-341","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, CHEMICAL","Score":null,"Total":0}
引用次数: 0
引用
批量引用
Abstract
The problem of crude oil reserve shortage and air quality decline currently have led researches on renewable fuel such as bioethanol and biohydrogen. The attempt to provide such biofuel involves the utilization of enormously available wasted materials, lignocellulose. Coconut husk is one of such materials available in Indonesia. The previous work had reported the quantity of total reducing sugar produced after the enzymatic hydrolysis of pretreated coconut husk. The pretreatment methods used were dilute sodium hydroxide solution (1 and 4% w/v), 1,3methylmethylimidazolium dimethyl phosphate ionic liquid and the combination of both methods. This work focused on constructing the mathematical model which describes the kinetic of those enzymatic hydrolysis reactions. Mathematical model expressions help describing as well as predicting the process behavior, which is commonly needed in the process design and control. The development of mathematical model in this work was done based on the total reducing sugar concentration resulted in batch hydrolysis reaction. The kinetic parameters including initial available substrate (S0), maximum reaction rate (rmax), and half-maximum rate constant (KM). According to the values of half-maximum rate constant (KM), the enzymatic hydrolysis performance of coconut husk treated using ionic liquid is better than that treated using dilute alkaline solution as the former had shown lower KM value and hence higher enzyme affinity to the substrate. The best hydrolysis result was performed using combination of 1% dilute sodium hydroxide solution and ionic liquid with kinetic model parameter of 0.5524 g/L.h of rmax, 0.0409 g/L of KM, and 4.1919 g/L of S0. Copyright © 2021 by Authors, Published by BCREC Group. This is an open access article under the CC BY-SA License (https://creativecommons.org/licenses/by-sa/4.0).
碱性和离子液体预处理椰子壳酶解的数学模型
目前,原油储量短缺和空气质量下降的问题引发了对生物乙醇和生物氢等可再生燃料的研究。提供这种生物燃料的尝试涉及利用大量可用的废弃材料,木质纤维素。椰子壳就是在印度尼西亚可以买到的材料之一。先前的工作已经报道了预处理椰子壳酶解后产生的总还原糖的量。所用的预处理方法是稀氢氧化钠溶液(1和4%w/v)、1,3-甲基咪唑鎓磷酸二甲酯离子液体以及这两种方法的组合。这项工作的重点是建立描述这些酶水解反应动力学的数学模型。数学模型表达式有助于描述和预测过程行为,这是过程设计和控制中通常需要的。本工作以间歇水解反应产生的总还原糖浓度为基础,建立了数学模型。动力学参数包括初始可用底物(S0)、最大反应速率(rmax)和半最大速率常数(KM)。根据半最大速率常数(KM)的值,用离子液体处理的椰子壳的酶水解性能优于用稀碱性溶液处理的椰子皮,因为前者显示出较低的KM值,因此对底物的酶亲和力较高。使用1%稀氢氧化钠溶液和离子液体的组合进行最佳水解,动力学模型参数为0.5524g/L的rmax、0.0409g/L的KM和4.1919g/L的S0。版权所有©2021作者所有,BCREC集团出版。这是CC BY-SA许可证下的开放访问文章(https://creativecommons.org/licenses/by-sa/4.0)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
来源期刊
期刊介绍:
Bulletin of Chemical Reaction Engineering & Catalysis, a reputable international journal, provides a forum for publishing the novel technologies related to the catalyst, catalysis, chemical reactor, kinetics, and chemical reaction engineering. Scientific articles dealing with the following topics in chemical reaction engineering, catalysis science and engineering, catalyst preparation method and characterization, novel innovation of chemical reactor, kinetic studies, etc. are particularly welcome. However, articles concerned on general chemical engineering process are not covered and out of scope of this journal