Investigation of a hybrid bioreactor for simultaneous biohydrogen and bioelectricity production
Bibliographic record
Abstract
This study presents a novel three-chamber hybrid bioreactor designed for the simultaneous production of biohydrogen, bioelectricity, and wastewater treatment using carbohydrates (glucose, sucrose, and maple syrup) as primary substrates. The system integrates microbial electrolysis cells, microbial fuel cells, and conventional electrolysis chambers, each separated by cation exchange membranes. Cow manure served as the inoculum, while domestic wastewater was utilized as the electrolyte. The experimental setup was designed and operated through four distinct phases: (i) voltage testing in the microbial electrolysis chamber (1.0 to 2.0 V), (ii) sodium chloride concentration testing in the conventional electrolysis unit (0 to 5 g/L), (iii) hybrid operation with glucose, sucrose, and maple syrup, and (iv) electrochemical testing of the microbial fuel cell. At 1.25 V, the microbial electrolysis chamber produced 230 ppm of hydrogen, while the conventional unit generated over 900 ppm at 2 g/L sodium chloride. The microbial fuel cell yielded 77 mV, with open circuit voltages ranging from 0.50 to 0.59 V. The chemical oxygen demand removal was 64.92%, and the system’s energy and exergy efficiencies were 7.3% and 20.2%, respectively. An optimal performance was achieved with glucose at 1-2 g/L. These findings demonstrate the potential of utilizing biological carbohydrates in hybrid systems for sustainable bioenergy production and wastewater remediation.
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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".