The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
Power Generation Using Different Cation, Anion, and Ultrafiltration Membranes in Microbial Fuel Cells
Abstract
Proton exchange membranes (PEMs) are often used in microbial fuel cells (MFCs) to separate the liquid in the anode and cathode chambers while allowing protons to pass between the chambers. However, negatively or positively charged species present at high concentrations in the medium can also be used to maintain charge balance during power generation. An anion exchange membrane (AEM) produced the largest power density (up to 610 mW/m2) and Coulombic efficiency (72%) in MFCs relative to values achieved with a commonly used PEM (Nafion), a cation exchange membrane (CEM), or three different ultrafiltration (UF) membranes with molecular weight cut offs of 0.5K, 1K, and 3K Daltons in different types of MFCs. The increased performance of the AEM was due to proton charge-transfer facilitated by phosphate anions and low internal resistance. The type of membrane affected maximum power densities in two-chamber, air-cathode cube MFCs (C-MFCs) with low internal resistance (84-91 omega for all membranes except UF-0.5K) but not in two-chamber aqueous-cathode bottle MFCs (B-MFCs) due to their higher internal resistances (1230-1272 omega except UF-0.5K). The UF-0.5K membrane produced very high internal resistances (6009 omega, B-MFC; 1814omega, C-MFC) and was the least permeable to both oxygen (mass transfer coefficient of k(O) = 0.19 x 10(-4) cm/s) and acetate (k(A) = 0.89 x 10(-8) cm/s). Nafion was the most permeable membrane to oxygen (k(O) = 1.3 x 10(-4) cm/s), and the UF-3K membrane was the most permeable to acetate (k(A) = 7.2 x 10(-8) cm/s). Only a small percent of substrate was unaccounted for based on measured Coulombic efficiencies and estimates of biomass production and substrate losses using Nafion, CEM, and AEM membranes (4-8%), while a substantial portion of substrate was lost to unidentified processes for the UF membranes (40-89%). These results show that many types of membranes can be used in two-chambered MFCs, even membranes that transfer negatively charged species.
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Cites
Standard methods: For the examination of water and waste water
(1990) · Analytical Biochemistry · doi:10.1016/0003-2697(90)90598-4 · Cited by 72,091
State of Understanding of Nafion
Mauritz, K. A., & Moore, R. B. (2004) · Chemical Reviews · doi:10.1021/cr0207123 · Cited by 4,791
Larminie, J., & Dicks, A. (2003) · Wiley eBooks · doi:10.1002/9781118878330 · Cited by 3,935
Environmental Biotechnology: Principles and Applications
Rittmann, B. E., & McCarty, P. L. (2000) · Cited by 3,066
Electricity Production by Geobacter sulfurreducens Attached to Electrodes
Bond, D. R., & Lovley, D. R. (2003) · Applied and Environmental Microbiology · doi:10.1128/aem.69.3.1548-1555.2003 · Cited by 2,198
Liu, H., & Logan, B. E. (2004) · Environmental Science & Technology · doi:10.1021/es0499344 · Cited by 1,982
Self-citationProduction of Electricity during Wastewater Treatment Using a Single Chamber Microbial Fuel Cell
Liu, H., Ramnarayanan, R., & Logan, B. E. (2004) · Environmental Science & Technology · doi:10.1021/es034923g · Cited by 1,616
Self-citationIncreased performance of single-chamber microbial fuel cells using an improved cathode structure
Cheng, S., Liu, H., & Logan, B. E. (2006) · Electrochemistry Communications · doi:10.1016/j.elecom.2006.01.010 · Cited by 1,096
Self-citationOperational parameters affecting the performannce of a mediator-less microbial fuel cell
Gil, G.-C., Chang, I.-S., Kim, B. H., Kim, M., Jang, J.-K., Park, H. S., & Kim, H. J. (2003) · Biosensors and Bioelectronics · doi:10.1016/s0956-5663(02)00110-0 · Cited by 1,025
Liu, H., Cheng, S., & Logan, B. E. (2005) · Environmental Science & Technology · doi:10.1021/es050316c · Cited by 953
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Cited by
Anion-exchange membranes in electrochemical energy systems
Varcoe, J. R., Atanassov, P., Dekel, D. R., Herring, A. M., Hickner, M. A., Kohl, P. A., Kucernak, A. R., Mustain, W. E., Nijmeijer, K., Scott, K., et al. (2014) · Energy Environ. Sci. · doi:10.1039/c4ee01303d · Cited by 2,051
Microbial Electrolysis Cells for High Yield Hydrogen Gas Production from Organic Matter
Logan, B. E., Call, D., Cheng, S., Hamelers, H. V. M., Sleutels, T. H. J. A., Jeremiasse, A. W., & Rozendal, R. A. (2008) · Environmental Science & Technology · doi:10.1021/es801553z · Cited by 1,368
Self-citationCathodic limitations in microbial fuel cells: An overview
Rismani-Yazdi, H., Carver, S. M., Christy, A. D., & Tuovinen, O. H. (2008) · Journal of Power Sources · doi:10.1016/j.jpowsour.2008.02.074 · Cited by 734
Wang, W.-K., Tang, B., Liu, J., Shi, H., Xu, Q., & Zhao, G. (2019) · Electrochimica Acta · doi:10.1016/j.electacta.2019.02.099 · Cited by 15
Metadata
- Authors
- Kim, J. R., Cheng, S., Oh, S.-E., & Logan, B. E.
- Venue
- Environmental Science & Technology
- Publisher
- American Chemical Society (ACS)
- Published
- 2007-01-04
- Volume
- 41
- Issue
- 3
- Pages
- 1004-1009
- ISSN
- 0013-936X (ISSN-L)
- 1520-5851
- OpenAlex
- W2025806774
- Cited by
- 699
- References
- 29
- FWCI
- 35.87
- Type
- journal article
- Language
- en
- Open access
- closed
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