Laboratory evaluation of a new coagulant/disinfectant point-of-use water treatment product for emergencies
Bibliographic record
Abstract
AIMS: There is emerging evidence that point-of-use (POU) water treatment can be effective in the improvement of microbial water quality and the decrease in diarrhoeal disease incidence in humanitarian emergencies. Coagulant/disinfection products (CDPs) have the distinct advantage of providing microbial quality improvement, turbidity reductions and a free chlorine residual (FCR). The laboratory treatment performance of a novel CDP, the 'Pureit(®) ' sachet, has been evaluated under different water quality conditions. METHODS AND RESULTS: The CDP performance was evaluated with regard to bacteriological humanitarian water quality objectives as well as the recent World Health Organization recommendations for evaluating POU water treatment options. At least 4 log10 reductions of tested bacterial indicators for a 'highly protective' status were attained in the tested conditions. Treated waters were consistently below 10 MPN per 100 ml with regard to final Escherichia coli concentrations (i.e. 'low risk') with majority of samples with no detectable E. coli (i.e. 'very low risk'). Attainment of the target FCR levels (at least 0·5 and 0·2 mg l(-1) after 0·5 and 24 h respectively) was dependant on the test water matrix. FCRs are thought to have been affected by the product's formulation, which contains a quenching agent intended to reduce chlorinous tastes. Treated water turbidity levels were marginally above the nonhealth-based target of five nephelometric turbidity units, partially due to the filtration cloth employed. CONCLUSIONS: This study has served to identify the performance envelopes of the CDP under challenging conditions. In particular, initial alkaline pHs negatively affected this product's performance with regard to bacterial log10 reductions. SIGNIFICANCE AND IMPACT OF THE STUDY: This CDP has the potential to attain humanitarian drinking water quality objectives when not operating under extreme conditions; consistently achieving E. coli log10 reductions between 4·5 and 5·2 resulting in treated water with E. coli concentrations mostly below the <1 MPN per 100 ml target level.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".