优化稻草化学水解产生的可发酵糖在乙醇发酵中的应用

Q4 Earth and Planetary Sciences
Vikas Chandra Gupta, Meenu Singh, Shiv Prasad, Bhartendu Nath Mishra
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引用次数: 0

摘要

木质纤维素生物质是碳水化合物聚合物的丰富来源,其中纤维素和半纤维素是由葡萄糖和木糖单体组成的两种主要碳水化合物。这些单糖分子是通过微生物发酵过程生产乙醇的前体分子。稻草是生产乙醇的有效木质纤维素原料,但其工业化利用仍面临重大挑战。主要障碍在于化学预处理工艺,需要对其进行优化设计,以便以可持续和具有成本效益的方式为乙醇业务顺利提供基于生物质的可发酵糖。本研究利用基于 Minitab 软件的实验设计进行响应面曲线分析,结果表明,通过化学水解水稻秸秆可获得最佳的发酵糖产量。本研究旨在利用基于 Minitab 计算机软件的实验设计提高稻草化学预处理的可发酵糖产量。使用基于 Minitab 17 软件的响应面曲线分析法确定了预处理变量的最佳水平,以实现发酵糖的最大释放量(348.20 毫克/克固体预处理生物质)。该研究确定了各变量相应的最佳操作水平:(a) 生物质固体负载率(15% w/v),(b) H2SO4 浓度(12% v/v),(c) 预处理反应时间(30 分钟)和 (d) 温度(100°C)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimized yield of fermentable sugar from chemical hydrolysis of rice straw for application in ethanol fermentation
Lignocellulosic biomass is a rich source of carbohydrate polymers with cellulose and hemicellulose being the two primary carbohydrates made up of glucose and xylose monomers. These monomeric sugar molecules act as precursor molecules for ethanol production by the microbial fermentation process. Rice straw is a potent lignocellulosic feedstock for ethanol production, but its utilization on an industrial scale still faces significant challenges. The main obstacle lies in the chemical pretreatment process which needs to be designed optimally to enable a smooth supply of biomass-based fermentable sugar for ethanol businesses in a sustainable and cost-effective manner. The application of response surface curve analysis was made utilizing the Minitab software-based design of experiments which have demonstrated promising results in obtaining an optimized yield of fermentable sugar from the chemical hydrolysis of rice straw. The present study aimed to increase the fermentable sugar yield from chemical pretreatment of rice straw using Minitab computer software-based design of experiments. The optimal level of pretreatment variables was determined using Minitab 17 software-based analysis of the response surface curve to achieve a maximized release of fermentable sugar at 348.20 milligrams/gram of solid pretreated biomass. This study identified the corresponding optimum operating levels for each variable as (a) biomass solid loading rate (15% w/v), (b) H2SO4 concentration (12% v/v), (c) pretreatment reaction time (30 minutes) and (d) temperature (100°C).
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来源期刊
CiteScore
0.50
自引率
0.00%
发文量
195
审稿时长
4-8 weeks
期刊介绍: Information not localized
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