Bioethanol from corn stover - a review and technical assessment of alternative biotechnologies

Bioethanol from corn stover - a review and technical assessment of alternative biotechnologies
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玉米秸秆中的生物乙醇——替代生物技术的回顾和技术评估

DOI:
10.1016/j.pecs.2018.03.004
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发表时间:
2018
影响因子:
29.5
通讯作者:
Christensen Thomas H.
Christensen Thomas H.
中科院分区:
工程技术1区
文献类型:
--
作者:
Zhao Yan;Damgaard Anders;Christensen Thomas H.

文献摘要

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回顾过去十年有关玉米秸秆生物转化为乙醇的文献,确定了474篇参考文献,包含561个数据集。我们发现了144个数据集,这些数据集足够一致和详细,可以解决玉米秸秆转化为生物乙醇的最新技术水平,我们能够根据所使用的预处理方法将这些数据集的93%分类为8种不同的生物乙醇生产技术配置。预处理后,玉米秸秆进行水解和发酵,但这两个工艺步骤在所有数据集中基本相同,尽管报告了一系列操作条件。乙醇的最终蒸馏很少包括在数据集中。通过用26个参数(包括玉米秸秆成分、固体负载、操作条件、转化效率和材料消耗)来参数化生物乙醇生产,我们能够量化每个技术配置的材料流并估计流的不确定性。八种技术配置从玉米秸秆的干固体含量产生11-22%的乙醇。使用碱、溶剂或氨预处理的技术产生的乙醇量最大(19-22%),而真菌预处理产生的乙醇量要少得多(11%)。所有技术配置导致固体和液体残留物的大流量,通常含有60至70%的干固体玉米秸秆含量。根据选定的数据集,对每个技术配置内的所有参数(包括众数、中位数、平均值和偏差)进行统计描述。所有技术配置之间和内部的双变量相关性分析表明,在实验室研究中通常被认为是关键的一些操作参数,例如预处理严重程度,从统计学角度来看,与产率的相关性很小。审查表明,大量的研究已经解决了将玉米秸秆转化为生物乙醇的挑战,但这些研究的重要组成部分是有限的价值范围和文件时,解决整体材料流和关键参数的技术背景。
Reviewing the literature from the last decade regarding the bioconversion of corn stover into ethanol, 474 references were identified containing 561 datasets. We found 144 datasets which were sufficiently consistent and detailed to address the current state of the art of corn stover conversion to bioethanol, and we were able to categorise 93% of these datasets into eight different technological configurations for the production of bioethanol, based on the pretreatment approaches used. After pretreating, the corn stover is subject to hydrolysis and fermentation, but these two process steps were largely identical in all datasets, albeit a range of operating conditions was reported. The final distillation of the ethanol was very rarely included in the datasets. By parameterising the bioethanol production by 26 parameters, including corn stover compositions, solid loadings, operational conditions, conversion efficiencies and material consumption, we were able to quantify the material flows for each technological configuration and estimate the uncertainty of the flows. The eight technological configurations produced 11–22% ethanol from the dry solid content of the corn stover. Technologies using alkaline-, solvent or ammonia-based pretreatments produced the largest amount of ethanol (19–22%), while fungi-based pretreatment produced much less (11%). All technological configurations resulted in large flows of solid as well as liquid residues, typically containing 60 to 70% of the dry solid corn stover content. Based on the selected datasets, statistical description is provided for all parameters, including mode, median, average and deviation, within each technological configuration. Bivariate correlation analysis across and within all technological configurations indicates that some operational parameters usually considered crucial in laboratory studies, e.g. pretreatment severity, show from a statistical perspective very little correlation with the yields. The review reveals that a great deal of research has addressed the challenge of converting corn stover into bioethanol, but a significant part of these studies is of limited value in terms of scope and documentation when addressing overall material flows and key parameters in a technological context.