Quality Evaluation of Honduran Bottled Water for Human Consumption through Experimental Design
Bibliographic record
Abstract
The increase in bottled water consumption in Honduras raises concerns about public safety.This study evaluates the quality of four local brands in Tegucigalpa through an experimental design, revealing potential contaminations, particularly in elevated total coliforms in eight samples.Numerical analyses, including analysis of variance and Fisher's LSD, show significant differences in total dissolved solids (TDS) among the brands (A: 120.50, B: 53.3, C: 23.33, D: 1.33) with units of mh/L, indicating variations in treatment processes.Although some bottled water brands meet certain standard parameters, some samples from different brands analysed in this study exhibit elevated levels of total coliforms without the presence of E. Coli, specifically, highlighting the need to investigate other bacterial genres in these or other brands.The correlation analysis underscores inverse relationships between pH and total coliforms/aerobic bacteria, indicating that higher values of these parameters lead to a decrease in pH, signifying increased acidity.This emphasizes the importance of future research.Validation by experts in experimental design enhances credibility, as both the sample collection and analysis underwent the necessary supervision and rigor to reveal reliable data.The findings emphasize the urgency of maintaining strict quality standards for bottled water in Honduras.This study, enriched with numerical analyses, reinforces the need for continuous safety assessments for the benefit of public health.
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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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".