A logical data representation framework for electricity-driven bioproduction processes

Sunil A. Patil, Sylvia Gildemyn, Deepak Pant, Karsten Zengler, Bruce Ernest Logan, Korneel Rabaey

Research output: Contribution to journalReview article

95 Citations (Scopus)

Abstract

Microbial electrosynthesis (MES) is a process that uses electricity as an energy source for driving the production of chemicals and fuels using microorganisms and CO2 or organics as carbon sources. The development of this highly interdisciplinary technology on the interface between biotechnology and electrochemistry requires knowledge and expertise in a variety of scientific and technical areas. The rational development and commercialization of MES can be achieved at a faster pace if the research data and findings are reported in appropriate and uniformly accepted ways. Here we provide a framework for reporting on MES research and propose several pivotal performance indicators to describe these processes. Linked to this study is an online tool to perform necessary calculations and identify data gaps. A key consideration is the calculation of effective energy expenditure per unit product in a manner enabling cross comparison of studies irrespective of reactor design. We anticipate that the information provided here on different aspects of MES ranging from reactor and process parameters to chemical, electrochemical, and microbial functionality indicators will assist researchers in data presentation and ease data interpretation. Furthermore, a discussion on secondary MES aspects such as downstream processing, process economics and life cycle analysis is included.

Original languageEnglish (US)
Pages (from-to)736-744
Number of pages9
JournalBiotechnology Advances
Volume33
Issue number6
DOIs
StatePublished - Nov 1 2015

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Electricity
Electrochemistry
Biotechnology
Life Cycle Stages
Research
Microorganisms
Energy Metabolism
Life cycle
Carbon
Economics
Research Personnel
Technology
Processing

All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Bioengineering
  • Applied Microbiology and Biotechnology

Cite this

Patil, Sunil A. ; Gildemyn, Sylvia ; Pant, Deepak ; Zengler, Karsten ; Logan, Bruce Ernest ; Rabaey, Korneel. / A logical data representation framework for electricity-driven bioproduction processes. In: Biotechnology Advances. 2015 ; Vol. 33, No. 6. pp. 736-744.
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A logical data representation framework for electricity-driven bioproduction processes. / Patil, Sunil A.; Gildemyn, Sylvia; Pant, Deepak; Zengler, Karsten; Logan, Bruce Ernest; Rabaey, Korneel.

In: Biotechnology Advances, Vol. 33, No. 6, 01.11.2015, p. 736-744.

Research output: Contribution to journalReview article

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AU - Patil, Sunil A.

AU - Gildemyn, Sylvia

AU - Pant, Deepak

AU - Zengler, Karsten

AU - Logan, Bruce Ernest

AU - Rabaey, Korneel

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