Biohydrogen Production in Microbial Electrolysis Cell Operating on Designed Consortium of Denitrifying Bacteria
Putty Ekadewi, Rita Arbianti, Cristina Gomez, Tania Surya Utami
AI summary
72% confidenceThis study demonstrates that a designed consortium of five denitrifying Pseudomonas and Acinetobacter isolates sustains H₂ production in single-chamber MECs better than natural soil microbiota. Operating at 0.7 V external voltage in a 100 mL reactor with 850 mg/L NaNO₃ and 1,641 mg/L acetate, the designed consortium maintained ~43–47 % headspace H₂ over 520 h, while soil consortium declined to ~18 % by 99 h. N₂O accumulated (5–8 % headspace), suggesting active denitrification suppressed methanogenesis without requiring chemical inhibitors. The work prioritizes microbial consortium design over inoculum complexity to avoid H₂ loss in single-chamber MECs.
Key insights
Performance Designed consortium sustained H₂ at 43–47 % headspace while soil consortium fell to 18 % by 99 h operation, diverging significantly at 99 h (p<0.05).
So what. Reduce inoculum complexity to two genera (Pseudomonas + Acinetobacter) pre-screened for denitrification capacity rather than using uncharacterized soil microbiota to avoid H₂ loss in single-chamber MECs.
Mechanism N₂O accumulated to 5–8 % headspace in designed consortium and 8 % in soil consortium, indicating active denitrification pathway.
So what. Monitor N₂O as a proxy for denitrification activity; high N₂O may indicate incomplete denitrification (NO₃⁻ → N₂O rather than → N₂), suggesting need for optimization of cathode potential or HRT to drive complete reduction.
Mechanism Methane was not detected in headspace despite anaerobic conditions and acetate substrate, unlike prior work reporting total H₂-to-CH₄ conversion.
So what. Denitrifying bacteria suppress methanogenesis without chemical inhibitors; use this as a biological control strategy, but confirm via isotope tracing or molecular analysis that DAMO (denitrifying anaerobic methane oxidation) is not masking methane production.
Threshold H₂ production rate (rmax) was 0.247 mg/(L·h) with lag phase of 20.98 h at 0.7 V external voltage and 10 Ω load.
So what. Expect ~21 h startup delay before exponential H₂ production; if faster response is needed, test higher applied voltage or lower external resistance to reduce lag phase.
Trade-off CO₂ spiked to ~30 % headspace in soil consortium at end of operation, while designed consortium maintained lower CO₂, suggesting different acetate catabolism pathways.
So what. Monitor CO₂/H₂ ratio as an indicator of competing acetate oxidation pathways; high CO₂ without sustained H₂ suggests methanogenesis or fermentation is consuming substrate; design consortium to favor electrochemical H₂ production over heterotrophic respiration.
Contradictions1
Tensions the paper itself points to. Each side quotes the passage it comes from.
Against prior work Methane absence despite anaerobic acetate fermentation conditions that typically favor methanogenesis
One side'Methane was interestingly absent from detection in this study'
“Methane was interestingly absent from detection in this study.”
Other side'In the original study that inspired our setup, total conversion of H₂ to CH₄ occurred, leading to undetected quantities of H₂ in the headspace at the end of the culture'
“In the original study that inspired our setup, total conversion of H₂ to CH₄ occurred, leading to undetected quantities of H₂ in the headspace at the end of the culture (30).”
Authors’ reading. Authors propose denitrifying anaerobic methane oxidation (DAMO) as mechanism: 'A possible explanation could be the transformation of methane into other metabolites like CO₂ in anaerobic methane oxidation'; however, this is speculative and not confirmed by molecular or isotope analysis.
Opportunity areas6
Specific gaps in this paper, with an experiment that would close each.
High No measurement of dissolved oxygen, pH, or redox potential (Eh) in the catholyte or anolyte during operation; cannot determine if cathode potential was optimized for H₂ production vs. competing reactions (e.g., NO₃⁻ reduction to NO₂⁻ or N₂O).
Paper states 'N₂O is an intermediary metabolite in the denitrification process' but does not quantify NO₃⁻ consumption, NO₂⁻ accumulation, or N₂ production; incomplete denitrification (N₂O as end product) may indicate suboptimal cathode potential or HRT.
Try. Measure NO₃⁻, NO₂⁻, N₂O, and N₂ over time at fixed cathode potential (e.g., −0.5 to −1.0 V vs. Ag/AgCl); vary applied voltage (0.5–1.0 V) and quantify N-species distribution to identify operating window for complete denitrification without N₂O accumulation.
High No variation of external voltage or current density; single operating point (0.7 V, 10 Ω load) tested.
Lag phase of 20.98 h is long; higher voltage might reduce startup time. No data on how H₂ production, denitrification efficiency, or N₂O accumulation change with applied voltage.
Try. Test 0.5, 0.7, 0.9, 1.1 V in parallel; measure H₂ production rate, lag phase, N₂O/N₂ ratio, and current density to identify optimal voltage for H₂ yield and complete denitrification.
Medium No measurement of acetate consumption or C/N ratio effect; medium contains 1,641 mg/L acetate and 850 mg/L NaNO₃ (C/N ≈ 2.3 by mass), but no data on how C/N ratio affects denitrification completeness or H₂ production.
Paper notes 'The use of denitrifying bacteria as competitors to methanogenesis is based on the idea that metabolites released from denitrification may act as inhibitors to methanogens' but does not quantify acetate depletion or relate it to N₂O accumulation.
Try. Vary C/N ratio (1:1 to 5:1 by mass) and measure acetate consumption, NO₃⁻ reduction, N₂O/N₂ ratio, and H₂ production to identify C/N window for complete denitrification and methanogenesis suppression.
Medium No characterization of biofilm composition on anode vs. bulk liquid; SEM shows biofilm presence but does not identify which consortium members form biofilm or their electrochemical roles.
Paper states 'It would be interesting to analyse and compare the composition of microbiomes found on the surface of the anodes with microbes suspended freely in the medium' but does not perform this analysis; cannot determine if all five consortium members are electroactive or if some are only syntrophic.
Try. Extract biofilm from anode and perform 16S rRNA sequencing; compare relative abundance of Pseudomonas and Acinetobacter species on anode vs. bulk liquid to identify which members are electroactive.
Medium No test of designed consortium in wastewater or real nitrate-rich waste streams; only synthetic medium tested.
Authors state 'It would also be interesting to optimize the designed microbiome's performance for biohydrogen generation using other consortium formulations and different growth media, i.e. wastewater as nitrate-rich growth medium' but do not perform this test.
Try. Inoculate designed consortium in synthetic wastewater (e.g., urine, agricultural runoff) with varying NO₃⁻ (100–1,000 mg/L) and measure H₂ production, denitrification efficiency, and N₂O accumulation.
Low No long-term stability test beyond 520 h; unclear if H₂ plateau at 43–47 % is stable or if further decline occurs after extended operation.
Fig. 2 shows data only to 520 h; designed consortium appears stable but no data beyond this point.
Try. Extend operation to 1,000+ h or multiple batch cycles; measure H₂ production, consortium composition (16S), and electrode fouling to assess long-term viability.
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What they did
- System
- MEC
- Substrate
- pure compound
What worked
No outcome metrics extracted yet.
Abstract
Research background. This study provides insight into the use of a designed microbial community to produce biohydrogen in simple, single-chamber microbial electrolysis cells (MECs). The ability of MECs to stably produce biohydrogen relies heavily on the setup and microorganisms working inside the system. Despite having the most straightforward configuration and effectively avoiding costly membranes, single-chamber MECs are prone to competing metabolic pathways. We present in this study one possible way of avoiding this problem using characteristically defined, designed microbial consortium. Here, we compare the performance of MECs inoculated with a designed consortium to MECs operating with a naturally occurring soil consortium. Experimental approach. We adapted a cost-effective and simple single-chamber MEC design. The MEC was gastight, 100 mL in volume, and equipped with continuous monitoring for electrical output using a digital multimeter. Microorganisms were sourced from Indonesian environmental samples, either as denitrifying bacterial isolates grouped as a designed consortium or natural soil microbiome used in its entirety. The designed consortium consisted of five species from the Pseudomonas and Acinetobacter genera. The headspace gas profile was monitored periodically with a gas chromatograph. At the end of the culture, the composition of the natural soil consortium was characterized by next generation sequencing and the growth of the bacteria on the surface of the anodes by field emission scanning electron microscopy. Results and conclusions. We found that MEC using a designed consortium presented a better H2 production profile, with the ability of the system to maintain headspace H2 concentration relatively stable for a long time after reaching stationary growth period. In contrast, MECs inoculated with soil microbiome exhibited a strong decline in headspace H2 profile within the same time frame. Novelty and scientific contribution. This work utilizes a designed, denitrifying bacterial consortium isolated from Indonesian environmental samples that can survive in a nitrate-rich environment. Here we propose using a designed consortium as a biological approach to avoid methanogenesis in MECs, as a simple and environmentally friendly alternative to current chemical/physical methods. Our findings offer an alternative solution to avoid the problem of H2 loss in single-chamber MECs along with optimizing biohydrogen production through bioelectrochemical routes.
Keywords
Identifiers
- Journal
- Food Technology and Biotechnology
- Year
- 2023
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