Biological responses to P‐limitation in indigenous bacteria isolated from drinking water
Bibliographic record
Abstract
Abstract Biofilm formation in direct biofiltration causes operational issues such as accelerated head loss accumulation rate resulting in short filter runtime. Applying coagulant in low P level source water may impose bacteria to the P‐limited condition. It is hypothesized that the nutrient limitation, specifically P, as an essential macronutrient for bacteria causes stress and triggers excess extracellular polymeric substances (EPS). Two of the most biofilm‐producing bacteria were isolated from a full‐scale biofilter, provided the opportunity to study the indigenous biofilter bacteria. The isolated bacteria were identified using full‐length 16S rRNA and characterized. The biological behavior of the species was studied under different P‐limited conditions in a nutrient‐limited medium simulating freshwater nutrient availability. Carbohydrate and Protein‐EPS were increased when decreasing the available P in the medium, suggesting that lack of P can trigger higher EPS. Article Impact Statement This study demonstrated that the lower P levels are directly related to excessive extracellular polymeric substances production and consequently the biofilter performance.
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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) | 0.000 | 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) | 0.001 | 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".