Treatment of phenolic wastewater by anaerobic fluidized bed microbial fuel cell filled with polyaniline–macroporous adsorption resin as multifunctional carrier
Bibliographic record
Abstract
Abstract The modified resin is used as a multifunctional biological carrier to treat phenolic wastewater (PW) in an anaerobic fluidized bed microbial fuel cell (AFB‐MFC). First, the modified resin was prepared, and the conductive polyaniline (PANI) was polymerized in situ on the surface and pores of the macroporous adsorption resin (MAR) to prepare the modified resin composite material (MAR/PANI). A series of modified resins with different mass ratios of resin and aniline were prepared. The modified resins were characterized by Fourier‐transform infrared spectroscopy, scanning electron microscopy (SEM), specific surface area, and pore structure analysis. Materials Studio (MS) software was used to study the internal interaction forces of PANI and MAR, and the molecular dynamics simulation method was used to analyze and calculate the cohesive energy density. The simulation results are qualitatively consistent with the experimental data. The sorption module in the MS software was used to study the adsorption behaviour of the modified resin to the organic components in the wastewater, and the adsorption mechanism was explained on the atomic scale. When the modified resin with m (MAR):m(An) = 1:0.6 was used in the AFB‐MFC, the chemical oxygen demand removal efficiency of wastewater was increased by 26.2%–88.90%, the voltage was increased by 98.46%–489.2 mV, and power density was increased by 303.28%–131.43 ± 0.17 mW/m 2 .
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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".