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Yannis Ieropoulos

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Yannis Ieropoulos

Professor in Bioenergy & Director of B-B


Microbial fuel cells in the house: A study on real household wastewater samples for treatment and power (2021)
Journal Article
You, J., Greenman, J., & Ieropoulos, I. A. (2021). Microbial fuel cells in the house: A study on real household wastewater samples for treatment and power. Sustainable Energy Technologies and Assessments, 48, Article 101618. https://doi.org/10.1016/j.seta.2021.101618

In line with the global movement towards sustainable buildings and dwellings, this work investigated the potential for integrating microbial fuel cell technology into future architecture. Various types of domestic greywater and wastewater from five d... Read More about Microbial fuel cells in the house: A study on real household wastewater samples for treatment and power.

Microbial fuel cells and their electrified biofilms (2021)
Journal Article
Greenman, J., Gajda, I., You, J., Mendis, B. A., Obata, O., Pasternak, G., & Ieropoulos, I. (2021). Microbial fuel cells and their electrified biofilms. Biofilms, 3, Article 100057. https://doi.org/10.1016/j.bioflm.2021.100057

Bioelectrochemical systems (BES) represent a wide range of different biofilm-based bioreactors that includes microbial fuel cells (MFCs), microbial electrolysis cells (MECs) and microbial desalination cells (MDCs). The first described bioelectrical b... Read More about Microbial fuel cells and their electrified biofilms.

Electrosynthesis, modulation, and self-driven electroseparation in microbial fuel cells (2021)
Journal Article
Gajda, I., You, J., Mendis, B. A., Greenman, J., & Ieropoulos, I. A. (2021). Electrosynthesis, modulation, and self-driven electroseparation in microbial fuel cells. iScience, 24(8), Article 102805. https://doi.org/10.1016/j.isci.2021.102805

Microbial electrosynthesis (MES) represents a sustainable platform that converts waste into resources, using microorganisms within an electrochemical cell. Traditionally, MES refers to the oxidation/reduction of a reactant at the electrode surface wi... Read More about Electrosynthesis, modulation, and self-driven electroseparation in microbial fuel cells.

Neural networks predicting microbial fuel cells output for soft robotics applications (2021)
Journal Article
Tsompanas, M. A., You, J., Philamore, H., Rossiter, J., & Ieropoulos, I. (2021). Neural networks predicting microbial fuel cells output for soft robotics applications. Frontiers in Robotics and AI, 8, Article 633414. https://doi.org/10.3389/frobt.2021.633414

The development of biodegradable soft robotics requires an appropriate eco-friendly source of energy. The use of Microbial Fuel Cells (MFCs) is suggested as they can be designed completely from soft materials with little or no negative effects to the... Read More about Neural networks predicting microbial fuel cells output for soft robotics applications.

Impact of inoculum type on the microbial community and power performance of urine-fed microbial fuel cells (2020)
Journal Article
Salar-Garcia, M. J., Obata, O., Kurt, H., Chandran, K., Greenman, J., & Ieropoulos, I. A. (2020). Impact of inoculum type on the microbial community and power performance of urine-fed microbial fuel cells. Microorganisms, 8(12), Article 1921. https://doi.org/10.3390/microorganisms8121921

Bacteria are the driving force of the microbial fuel cell (MFC) technology, which benefits from their natural ability to degrade organic matter and generate electricity. The development of an efficient anodic biofilm has a significant impact on the p... Read More about Impact of inoculum type on the microbial community and power performance of urine-fed microbial fuel cells.

Effect of iron oxide content and microstructural porosity on the performance of ceramic membranes as microbial fuel cell separators (2020)
Journal Article
Salar-García, M. J., Walter, X. A., Gurauskis, J., de Ramón Fernández, A., & Ieropoulos, I. (2021). Effect of iron oxide content and microstructural porosity on the performance of ceramic membranes as microbial fuel cell separators. Electrochimica Acta, 367, Article 137385. https://doi.org/10.1016/j.electacta.2020.137385

Ceramic materials based on naturally occurring clays are a low cost and environmentally friendly alternative to commercial polymer-based membranes in bioelectrochemical systems. In this work, ceramic membranes containing different amounts of iron oxi... Read More about Effect of iron oxide content and microstructural porosity on the performance of ceramic membranes as microbial fuel cell separators.

Effect of microbial fuel cell operation time on the disinfection efficacy of electrochemically synthesised catholyte from urine (2020)
Journal Article
Merino-Jimenez, I., Obata, O., Pasternak, G., Gajda, I., Greenman, J., & Ieropoulos, I. (2021). Effect of microbial fuel cell operation time on the disinfection efficacy of electrochemically synthesised catholyte from urine. Process Biochemistry, 101, 294-303. https://doi.org/10.1016/j.procbio.2020.10.014

Microbial fuel cells (MFCs) offer an excellent solution to tackle some of the major challenges currently faced by humankind: sustainable energy sources, waste management and water stress. Besides treating wastewater and producing useful electricity f... Read More about Effect of microbial fuel cell operation time on the disinfection efficacy of electrochemically synthesised catholyte from urine.

Evaluation of artificial neural network algorithms for predicting the effect of the urine flow rate on the power performance of microbial fuel cells (2020)
Journal Article
de Ramón-Fernández, A., Salar-García, M. J., Ruiz Fernández, D., Greenman, J., & Ieropoulos, I. A. (2020). Evaluation of artificial neural network algorithms for predicting the effect of the urine flow rate on the power performance of microbial fuel cells. Energy, 213, Article 118806. https://doi.org/10.1016/j.energy.2020.118806

© 2020 The Authors Microbial fuel cell (MFC) power performance strongly depends on the biofilm growth, which in turn is affected by the feed flow rate. In this work, an artificial neural network (ANN) approach has been used to simulate the effect of... Read More about Evaluation of artificial neural network algorithms for predicting the effect of the urine flow rate on the power performance of microbial fuel cells.

Improving the power performance of urine-fed microbial fuel cells using PEDOT-PSS modified anodes (2020)
Journal Article
Salar-Garcia, M. J., Montilla, F., Quijada, C., Morallon, E., & Ieropoulos, I. (2020). Improving the power performance of urine-fed microbial fuel cells using PEDOT-PSS modified anodes. Applied Energy, 278, Article 115528. https://doi.org/10.1016/j.apenergy.2020.115528

© 2020 The Authors The need for improving the energy harvesting from Microbial Fuel Cells (MFCs) has boosted the design of new materials in order to increase the power performance of this technology and facilitate its practical application. According... Read More about Improving the power performance of urine-fed microbial fuel cells using PEDOT-PSS modified anodes.

Scaling up self-stratifying supercapacitive microbial fuel cell (2020)
Journal Article
Walter, X. A., Santoro, C., Greenman, J., & Ieropoulos, I. A. (2020). Scaling up self-stratifying supercapacitive microbial fuel cell. International Journal of Hydrogen Energy, 45(46), 25240-25248. https://doi.org/10.1016/j.ijhydene.2020.06.070

Self-stratifying microbial fuel cells with three different electrodes sizes and volumes were operated in supercapacitive mode. As the electrodes size increased, the equivalent series resistance decreased, and the overall power was enhanced (small: ES... Read More about Scaling up self-stratifying supercapacitive microbial fuel cell.