Simultaneous Biogas Upgrading and Desulfurization Using a Microbial Electrosynthesis System with Optimized Electrodes and Membrane Selection
Why this work is in the frame
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Bibliographic record
Abstract
Biogas upgrading based on the principle of the microbial electrosynthesis (MES) system offers a promising avenue for biogas upgrading. Here, we explored 4 different combinations of cathode and membrane materials to optimize MES for biogas upgrading. MES equipped with a stainless steel cathode and Nafion 117 membrane (designated as MES-2) demonstrated optimal performance, achieving a maximum methane production of 268.5 ± 19.5 L methane /m cathode 3 with a bicarbonate medium. Furthermore, MES-2 showed superior performance with a CO 2 -rich gas (70% CO 2 and 30% N 2 ), achieving 100% CO 2 conversion to methane conversion after 3 days of gas recirculation. When testing different biogas sources (synthetic and real anaerobic digestion biogas), MES-2 also consistently provided >99% methane content within a relatively short time (<3 days) of biogas recirculation. Additionally, H 2 S content was significantly reduced from 214 ppmv to <1 ppmv, enabling the upgraded biogas to be widely utilized in various applications. The microbial community analysis indicated that this outcome was primarily due to the substantial growth of chemolithoautotrophic sulfide-oxidizing bacteria, such as Thiobacillus, which likely converted sulfide to elemental sulfur and/or sulfate. This study underscores the potential of MES as a highly effective and uniquely adaptable technology for biogas upgrading and desulfurization, promoting sustainable energy practices.
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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 it