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Record W1769574609 · doi:10.1002/jctb.4131

Electricity production from synthesis gas in a multi‐electrode microbial fuel cell

2013· article· en· W1769574609 on OpenAlexafffund
Abid Hussain, Vijaya Raghavan, B. Tartakovsky

Bibliographic record

VenueJournal of Chemical Technology & Biotechnology · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicMicrobial Fuel Cells and Bioremediation
Canadian institutionsMcGill University
FundersNatural Resources CanadaOffice of Energy Research and DevelopmentNatural Sciences and Engineering Research Council of Canada
KeywordsSyngasMicrobial fuel cellAnodeFaraday efficiencyCathodePower densityElectrodeElectricity generationMaterials scienceVolume (thermodynamics)Chemical engineeringPulp and paper industryElectricityWaste managementChemistryPower (physics)CatalysisElectrical engineeringOrganic chemistryPhysicsThermodynamics

Abstract

fetched live from OpenAlex

Abstract BACKGROUND Electricity production in single‐anode/cathode MFCs fed with simulated synthesis gas (syngas) as the sole electron donor has recently been demonstrated. This study evaluated the ability of a multi‐anode/cathode MFC fed with syngas to achieve improved volumetric efficiency at several operating temperatures and electrode arrangements . RESULTS A maximum power density of 33 mW (normalized to the anodic compartment volume) and a coulombic efficiency ( CE ) of 43% was achieved at an operating temperature of 37°C. MFC operation at 50°C resulted in a much lower power density of 10 mW and a CE of 15%. The MFC power density was greatly impacted by the electrode arrangement and the highest power density was achieved in a three anode–two cathode ( 3A‐2C ) arrangement . CONCLUSION The multi‐electrode design enhanced the performance of a syngas‐fed MFC , which could have major economic and operational implications for designing large‐scale syngas‐fed MFCs . The MFC performance at elevated temperatures was restricted by low microbial activity, implying that a thermophilic rather than a mesophilic inoculum might be required for successful operation under thermophilic conditions. © 2013 Society of Chemical Industry

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.927

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.005
GPT teacher head0.186
Teacher spread0.181 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations6
Published2013
Admission routes2
Has abstractyes

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