MétaCan
Menu
Back to cohort
Record W1964507260 · doi:10.1080/15567030903096931

A Microbial Fuel Cell with a Photosynthetic Microalgae Cathodic Half Cell Coupled to a Yeast Anodic Half Cell

2010· article· en· W1964507260 on OpenAlexaff
Erin E Powell, Richard W. Evitts, Gordon A. Hill, John Bolster

Bibliographic record

VenueEnergy Sources Part A Recovery Utilization and Environmental Effects · 2010
Typearticle
Languageen
FieldEnvironmental Science
TopicMicrobial Fuel Cells and Bioremediation
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsMicrobial fuel cellAnodeOpen-circuit voltageCathodePhotosynthesisChlorellaChlorella vulgarisMaterials scienceChemistryElectrodeChemical engineeringBotanyAlgaeBiochemistryVoltageBiologyElectrical engineering

Abstract

fetched live from OpenAlex

A recently developed photosynthetic cathodic half cell has been coupled to a fermentative anode to produce a complete microbial fuel cell. The photosynthetic organism Chlorella vulgaris was employed as the electron acceptor in the cathodic half cell with the yeast strain Saccharomyces cerevisiae serving as the electron donor in the anodic half cell. Maximum power was observed at 90 mV and a load of 5000 Ω, giving a power density of 0.95 mW/m2 of electrode surface area. The effect of changing culture conditions on fuel cell operation is reported. A maximum open circuit voltage of 315 mV was achieved with the addition of supplemental glucose to the anodic half cell. Enriching the feed air bubbled into the cathode half cell with 10% CO2 increased the open circuit voltage by a factor of 1.5 compared to using pure air as the feed gas. Since photosynthetic microbial growth at the cathode of the MFC consumes CO2, this complete microbial fuel cell is CO2 neutral and produces both electricity and ethanol as valuable energy products.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.004
GPT teacher head0.162
Teacher spread0.159 · 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 source (direct Gemma or distilled Codex), 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

Citations56
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueEnergy Sources Part A Recovery Utilization and Environmental EffectsSame topicMicrobial Fuel Cells and BioremediationFrench-language works237,207