Importance of specific substrate utilization by microbes in microbially enhanced coal-bed methane production: A modelling study

Importance of specific substrate utilization by microbes in microbially enhanced coal-bed methane production: A modelling study
复制标题

DOI:
10.1016/j.coal.2020.103567
复制
发表时间:
2020-09
影响因子:
5.6
通讯作者:
Simon Emmert;H. Class;K. J. Davis;R. Gerlach
Simon Emmert;H. Class;K. J. Davis;R. Gerlach
中科院分区:
工程技术2区
文献类型:
--
作者:
Simon Emmert;H. Class;K. J. Davis;R. Gerlach

文献摘要

被引文献

相似文献

这项研究解决了微生物增强煤层气(MECBM)生产的理解和控制的主要差距。一个数学和概念模型包括一个食物网,其中包括两种类型的细菌和三种类型的古菌代表底物特异性的社区成员;微生物群落成员可能通过竞争或被其他微生物群落成员的底物或产物抑制而相互作用。使用来自两个不同实验设置的数据集校准该模型。校正后的模型有效地预测了甲烷浓度在7%的范围内偏离实验结果。使用不同的条件下,额外的批实验的结果也重现,试图验证该模型,并测试的假设,能够将煤转化为可用于甲烷生产微生物的底物的微生物群落成员的煤诱导的刺激。这项研究显着提高了对微生物活性,底物特异性和生物利用度的煤甲烷生产之间的复杂相互作用的理解,并提供了基础,包括水力流动和运输过程到未来的数学模型,重要的是设计和实施更可持续的方法收获甲烷从不可开采的煤层。
This study addresses a major gap in the understanding and control of microbially enhanced coal-bed methane (MECBM) production. A mathematical and conceptual model comprises a food-web that includes two types of bacteria and three types of archaea representing substrate-specific members of the community; the microbial community members are potentially interacting by competing for or being inhibited by substrates or products of other microbial community members. The model was calibrated using data sets from two different experimental setups. The calibrated model effectively predicted the methane concentrations within a 7% range of deviation from the experimental results. The results of additional batch experiments using varied conditions are also reproduced in an attempt to validate the model and to test the hypothesis of amendment-induced stimulation of microbial community members capable of converting coal into substrates available to methane producing microbes. This study significantly enhances the understanding of the complex interactions between microbial activity, substrate-specificity and bio-availability of coal for methane production, and provides the basis for including hydraulic flow and transport processes into future mathematical models important for the design and implementation of more sustainable methods of harvesting methane from un-mineable coalbeds.