A rapid technique for assessing assimilable organic carbon of UV/H<sub>2</sub>O<sub>2</sub>-treated water
Bibliographic record
Abstract
A rapid technique was adopted and customized to assess the assimilable organic carbon (AOC) content of water for UV/H2O2 treatment applications. Indigenous consortium was used as inoculum and cells grown were counted using flow cytometry. Residual H2O2 after UV/H2O2 treatment was found to inhibit microorganisms' regrowth, leading to incorrect AOC measurement. Therefore, Catalase immobilized on a polymeric support was used to eliminate the residual H2O2 prior to the AOC bioassay without affecting the water quality and the AOC. The choice of microbial consortium was found to influence the result of the AOC bioassay, suggesting that indigenous inoculum should be used for each individual sample set. Three days of incubation at 30°C were enough for the microorganisms to reach their stationary phase. Addition of minerals was found to be necessary, affecting the outcome of the AOC test. The method presented in this article will be valuable for monitoring AOC levels at different stages of water treatment train, especially when UV/H2O2 is used as one of treatment steps.
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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 | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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".