Copper and zinc modified Canadian natural zeolite as a means for reducing the number of E. coli colony forming units in contaminated drinking water
Bibliographic record
Abstract
Clean drinking water is essential for all life on Earth. Over 400, 000 people die annually from lack of clean drinking water, and the demand on water is predicted to increase in all sectors. The demand for safe drinking water presents an ongoing challenge for new water purification techniques. Since the 1950s, natural zeolite has been investigated as a means of water purification due to its stable, crystalline, porous structure and cation exchange capacities. Recent publications have indicated that natural zeolite modified with metal cations provides a stable treatment media for the elimination of E. coli bacteria in drinking water. In this series of analysis, Canadian natural zeolite from the Bromley River Valley, Kamloops BC, was modified with zinc and copper sulphates to create three novel water treatment options. Treatment of E. coli contaminated water was most effective with zinc modified zeolite, which also significantly lowered the pH in comparison to the copper and copper/zinc modified zeolite. Of the three zeolites, all released too much copper and zinc into solution that may be linked to the low cation exchange capacity (CEC) of the Canadian zeolite. E. coli colony forming units were reduced; however, they were not sufficient to meet drinking water standards. Future studies will focus on optimizing the ratio of modified zeolite needed to treat a given amount of pathogen in solution.,
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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 | 0.000 | 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 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".