Microstructured Anodes by Surface Wrinkling for Studies of Direct Electron Transfer Biofilms in Microbial Fuel Cells
Bibliographic record
Abstract
Abstract A method for producing hierarchical wrinkled gold surfaces is used to continuously change characteristic microstructure dimensions of a bioanode in a microbial fuel cell, while conserving the total electroactive surface area and material chemistry. Using this approach, the effect of anode topography on power outputs from direct electron transfer from Geobacter sulfurreducens biofilms can be isolated and studied without the competing effects associated with additive manufacturing. Despite having the same electroactive surface area for all structured anodes, tall and well‐spaced features perform best. Anodes with the shortest, most closely packed structures, on the other hand, do not perform any better than planar surfaces with the same footprint and lower electroactive surface area. It is postulated that large interfold spacing provides better electrical contact between the biofilm and the electrode via improved bacterial packing density at the electrode surface. Rigorous attention to structural dimensions rather than total electroactive surface area is proposed as an important direction for future bioanode optimization in microbial fuel cells containing direct electron transfer electroactive biofilms.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| 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 source (direct Gemma or distilled Codex), 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".