Literature DB >> 24441074

On the importance of identifying, characterizing, and predicting fundamental phenomena towards microbial electrochemistry applications.

César Iván Torres1.   

Abstract

The development of microbial electrochemistry research toward technological applications has increased significantly in the past years, leading to many process configurations. This short review focuses on the need to identify and characterize the fundamental phenomena that control the performance of microbial electrochemical cells (MXCs). Specifically, it discusses the importance of recent efforts to discover and characterize novel microorganisms for MXC applications, as well as recent developments to understand transport limitations in MXCs. As we increase our understanding of how MXCs operate, it is imperative to continue modeling efforts in order to effectively predict their performance, design efficient MXC technologies, and implement them commercially. Thus, the success of MXC technologies largely depends on the path of identifying, understanding, and predicting fundamental phenomena that determine MXC performance.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2014        PMID: 24441074     DOI: 10.1016/j.copbio.2013.12.008

Source DB:  PubMed          Journal:  Curr Opin Biotechnol        ISSN: 0958-1669            Impact factor:   9.740


  4 in total

Review 1.  Microbial fuel cells: a comprehensive review for beginners.

Authors:  A S Vishwanathan
Journal:  3 Biotech       Date:  2021-05-01       Impact factor: 2.406

2.  Hollow Palladium Nanoparticles Facilitated Biodegradation of an Azo Dye by Electrically Active Biofilms.

Authors:  Shafeer Kalathil; Rajib Ghosh Chaudhuri
Journal:  Materials (Basel)       Date:  2016-08-04       Impact factor: 3.623

3.  The Use of Electroactive Halophilic Bacteria for Improvements and Advancements in Environmental High Saline Biosensing.

Authors:  Erin M Gaffney; Olja Simoska; Shelley D Minteer
Journal:  Biosensors (Basel)       Date:  2021-02-12

4.  Characterization of spatiotemporal electroactive anodic biofilm activity distribution using 1D simulations.

Authors:  Pierre Belleville; Gerard Merlin; Julien Ramousse; Jonathan Deseure
Journal:  Sci Rep       Date:  2022-04-07       Impact factor: 4.379

  4 in total

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