433
Views
10
CrossRef citations to date
0
Altmetric
Reviews

Bioengineering options and strategies for the optimization of anaerobic digestion processes

, &
Pages 1-14 | Received 06 Dec 2013, Accepted 16 Mar 2014, Published online: 17 Apr 2014
 

Abstract

Anaerobic digestion (AD) is a complex biological process, and the microbial diversity and dynamics within the reactor needs to be understood and considered when process optimization is sought after. Microbial interactions such as competition, mutualism, antagonism and syntrophism affect the function and the survival of single species in the community; hence, they need to be understood for process improvement. Although the relationship between process performance and the microbial community structure is well established, changes in the community might occur without detectable changes in gas production and reactor performance. Recent molecular-based studies have highlighted the complexity of AD systems revealing the presence of several uncultivated species and the need for further research in this area. However, this information is still rarely used for process optimization. The integration of next generation sequencing technologies, such as 454-pyrosequencing, with other techniques, such as phospholipid-derived fatty acids analysis, can provide a holistic understanding of the microbial community. In addition, the in-depth phylogenetic resolution provided can aid environmental ecologists and engineers to better understand and optimize the AD process and consolidate the information collected to date.

View correction statement:
Erratum

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.