Tuning membraneless microbial electrolysis cells operation alters efficiency and anodic microbiome toward scalable hydrogen production from sludge-hydrolysate

The practical implementation of microbial electrolysis cells (MECs) is hindered by challenges in optimizing system performance with complex substrates. This study addresses that gap by evaluating MECs fed with hydrolysate, an appealing substrate rich in organic-acids. Through systematic variation of substrate concentration (20–60 %), pH (5–8), and applied anodic potential (−0.2 to +0.4 V vs standard hydrogen electrode [SHE]), the optimal operational conditions were defined as 40 %-hydrolysate, pH 8, and +0.4 V vs SHE, yielding a mean current density of 3.4 A/m 2 and coulombic efficiencies (CE) of 38 % and 96 % based on total organic carbon (TOC) and total volatile fatty acids (VFAs), respectively. Scalability was demonstrated using a 10 L rotating disk bioelectrochemical reactor (RDBER) at 0 and 0.4 V vs SHE, achieving a maximum hydrogen production rate of 30.57 L/m 2 /d and minimal methane formation at 0.4 V. These findings offer a framework for optimizing MECs under real-feedstock conditions. • Microbial electrolysis cell output was optimized with primary-sludge hydrolysate. • Optimal conditions were 40 %-hydrolysate, pH 8, and anodic potential of 0.4 V vs SHE. • Optimal operation enriched Geobacter and suppressed methanogens in the biocoenosis. • Scale-up to a 10 L reactor achieved 30.57 L-H 2 /m 2 . d under optimized conditions. • Anodic potential of 0.4 V increased H 2 production without improving economic gain.

Authors

Institutions

Publication Details

Journal
International Journal of Hydrogen Energy
Published
2025-12-20
DOI
https://doi.org/10.1016/j.ijhydene.2025.153107
Primary Topic
Microbial Fuel Cells and Bioremediation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Tuning membraneless microbial electrolysis cells operation alters efficiency and anodic microbiome toward scalable hydrogen production from sludge-hydrolysate

Andrea Hille‐Reichel, Ahmed Elreedy, Mahshid Golalikhani, Johannes Gescher et al.
International Journal of Hydrogen Energy
Microbial Fuel Cells and Bioremediation
article

Tuning membraneless microbial electrolysis cells operation alters efficiency and anodic microbiome toward scalable hydrogen production from sludge-hydrolysate

Andrea Hille‐Reichel, Ahmed Elreedy, Mahshid Golalikhani, Johannes Gescher, Nikhil Shylaja Prakash, Christian Jonas Lapp
article en

Abstract

The practical implementation of microbial electrolysis cells (MECs) is hindered by challenges in optimizing system performance with complex substrates. This study addresses that gap by evaluating MECs fed with hydrolysate, an appealing substrate rich in organic-acids. Through systematic variation of substrate concentration (20–60 %), pH (5–8), and applied anodic potential (−0.2 to +0.4 V vs standard hydrogen electrode [SHE]), the optimal operational conditions were defined as 40 %-hydrolysate, pH 8, and +0.4 V vs SHE, yielding a mean current density of 3.4 A/m 2 and coulombic efficiencies (CE) of 38 % and 96 % based on total organic carbon (TOC) and total volatile fatty acids (VFAs), respectively. Scalability was demonstrated using a 10 L rotating disk bioelectrochemical reactor (RDBER) at 0 and 0.4 V vs SHE, achieving a maximum hydrogen production rate of 30.57 L/m 2 /d and minimal methane formation at 0.4 V. These findings offer a framework for optimizing MECs under real-feedstock conditions. • Microbial electrolysis cell output was optimized with primary-sludge hydrolysate. • Optimal conditions were 40 %-hydrolysate, pH 8, and anodic potential of 0.4 V vs SHE. • Optimal operation enriched Geobacter and suppressed methanogens in the biocoenosis. • Scale-up to a 10 L reactor achieved 30.57 L-H 2 /m 2 . d under optimized conditions. • Anodic potential of 0.4 V increased H 2 production without improving economic gain.

International Journal of Hydrogen EnergyVol. 202
Karlsruhe Institute of Technology (DE), Universität Hamburg (DE), DVGW-Forschungsstelle am Engler-Bunte-Institut des Karlsruher Instituts für Technologie (DE), Hamburg University of Technology (DE)
Openalex Percentile: Top 60%
Microbial Fuel Cells and Bioremediation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.