Enhanced biofilm formation and municipal wastewater treatment efficiency using granular activated carbon modified bio-ball carriers in moving bed biofilm reactor
Bibliographic record
Abstract
This study introduces a novel enhancement to biological wastewater treatment by integrating Granular Activated Carbon (GAC) with plastic bio-balls in a Moving Bed Biofilm Reactor (MBBR) configuration treating municipal sewage. The resulting GAC-MBBR system demonstrated significantly improved treatment efficiency, achieving 81.8 % carbon and 74.9 % nitrogen removal under high loading conditions-outperforming the conventional plastic-MBBR (64.5 % and 62.7 %, respectively). The macroporous structure of GAC provided increased surface area, promoting superior biofilm growth and microbial retention. Enrichment of key functional genera, including Zoogloea, Thauera, Nitrospira, and Nitrosomonas, was observed, indicating enhanced nitrification potential. Additionally, greater biomass accumulation on GAC carriers underscored their effectiveness in supporting microbial aggregation. These findings suggest that incorporating GAC into MBBR systems offers a promising strategy to optimize biofilm development and improve nutrient removal in wastewater treatment.
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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) | 0.001 | 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 | 0.001 | 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".