Investigating the structure and composition of anode-associated biofilms in electrochemical systems
Bibliographic record
Abstract
Microbial electrolysis cells (MECs) utilize microorganisms to catabolize organic substrates into biohydrogen and are being investigated as a potential solution to meet future energy needs. The focus of this project was to characterize the changes in mircrobial community composition of an anode-associated biofilm and to develop a method to monitor the biofilm in situ from an H-type, ethanol-fed MEC over the lifespan of the reactor. FISH and DGGE results revealed a shift in the biofilm microbial structure and composition from higher microbial diversity in the anaerobic digested sludge inoculum to a more uniform, lower diversity community towards the end of sampling. There was also an overall decrease in methanogenic community members and increase in both anode-respiring bacteria community, specifically Geobacter species, and current density over the time course, implying that a more stable community of anode-respiring bacteria, with minimal methanogens, results in higher current density and a more efficient MEC.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".