Innovative statistical interpretation of Shewanella oneidensis microbial fuel cells data-Reference-Cited by-同舟云学术

Innovative statistical interpretation of Shewanella oneidensis microbial fuel cells data

Published:2014 Issue:19 Volume:16 Page:8956-8969
ISSN:1463-9076
Container-title:Phys. Chem. Chem. Phys.
language:en
Short-container-title:Phys. Chem. Chem. Phys.

Author:

Babanova Sofia¹²³⁴,Bretschger Orianna⁵⁶⁷,Roy Jared⁸⁹¹⁰,Cheung Andrea¹¹¹²¹³,Artyushkova Kateryna¹²³⁴,Atanassov Plamen¹²³⁴

Affiliation:

1. Chemical and Nuclear Engineering Department

2. Center for Emerging Energy Technologies

3. University of New Mexico

4. Albuquerque, USA

5. Microbial and Environmental Genomics

6. J. Craig Venter Institute

7. San Diego, USA

8. Center for Bio/Molecular Sci. & Engr.

9. Naval Research Laboratory

10. Washington, USA

11. Environmental Engineering and Science

12. Stanford University

13. Stanford, USA

Abstract

Principal component analysis in combination with uncertainty of measurement results enables the predictive capability to optimize biology and engineering simultaneously.

Funder

National Science Foundation

Publisher

Royal Society of Chemistry (RSC)

Subject

Physical and Theoretical Chemistry,General Physics and Astronomy

Link

http://pubs.rsc.org/en/content/articlepdf/2014/CP/C4CP00566J

Reference67 articles.

1. Gene expression and deletion analysis of mechanisms for electron transfer from electrodes to Geobacter sulfurreducens

2. The Mtr Respiratory Pathway Is Essential for Reducing Flavins and Electrodes in Shewanella oneidensis

3. On the electrical conductivity of microbial nanowires and biofilms

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