Enhancement of UV/H<sub>2</sub>O<sub>2</sub> Efficacy Using Strong Base Anion Exchange Resins
Bibliographic record
Abstract
Four surface drinking water sources were selected to investigate the impact of strong base anion (SBA) exchange resins—as a pretreatment to ultraviolet/hydrogen peroxide (UV/H2O2)—on dissolved organic carbon (DOC), nitrate, UV transmittance, and hydroxyl radical (·OH) scavenging of the water samples. Results demonstrated good efficiency of SBA exchange resins at increasing UV transmittance (up to 75%) and reducing DOC (up to 80%), nitrate (up to 75%), and sulfate (up to 75%) within the ion exchange (IX) conditions applied. Additionally, data confirmed the positive effect of IX treatment at reducing the ·OH scavenging characteristics of the water, especially for high‐DOC/low‐transmittance water sources. Electrical energy per order for removing a probe compound (4‐chlorobenzoic acid) was reduced 20 to 40%, indicating improvement in the efficacy of UV/H2O2 treatment. Study findings demonstrated the potential of using the IX process to improve the quality of water undergoing UV/H2O2 treatment and its subsequent benefits on UV/H2O2 efficacy and electrical energy consumption.
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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 | 0.000 | 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".