Exploring Electron Conversion Efficiency for Biohydrogen in Dark Fermentation
Bibliographic record
Abstract
Buswell’s equation for biohydrogen can represent dark fermentation in accordance with the elemental composition of any organic matter. When the empirical formula or structural formula of an organic matter is identified, the theoretical amount of biohydrogen, theoretical biohydrogen potential, theoretical biohydrogen yield, and theoretical number of transferred electrons can be determined. Currently the metrics that measure the biodegradability performance of organic matters in dark fermentation are biodegradability index and energy conversion efficiency. However, the concept of electron conversion efficiency has not been well investigated. The aims of this article are to develop the electron conversion efficiency for biohydrogen to be a metric and explore the relationships between the biodegradability index and the energy conversion efficiency. The article shows that among the three metrics, electron conversion efficiency and biodegradability index are numerically identical, and there is a strong positive correlation between electron conversion efficiency and energy conversion efficiency. In addition, the established electron conversion efficiency functions as a cross-reference for dark fermentation, dark fermentation coupled photochemical system, and electrochemical system under anaerobic conditions.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".