Hybrid treatment system to remove micromolecular SMPs from fruit wastewater treated with an MBR
Bibliographic record
Abstract
Fruit processors want to reduce their environmental footprint by implementing the recycling of treated wastewater. Observations of a membrane bioreactor (MBR) and reverse osmosis (RO) system showed that the RO quickly fouled due to elevated levels of soluble microbial products (SMPs), an inert micromolecular composition in the form of dissolved organic matter (DOM) in the MBR effluent. Bench-scale experiments were performed using enhanced coagulation and granular activated (GAC) carbon sorption. Results showed that enhanced coagulation removed only 20% of the DOM, which was insufficient to protect the RO membrane. However, sorption studies with GAC showed that 98% of the dissolved SMP-DOM could be removed, the fraction of DOM from microbial activities. Results also showed that when enhanced coagulation preceded the sorption stage, GAC column run time could be extended by approximately 15%. The resulting best management practice (BMP) minimizes RO membrane fouling in the agri-food sector and opens further water recycling opportunities.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.001 | 0.001 |
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".