Physicochemical and Bacteriological Assessment of the Polyethene Packaged Sachet Water relied Upon as the Only Available Drinking Water in Sagamu Local Government Area Of Ogun State, South West, Nigeria
Bibliographic record
Abstract
This present study was undertaken to study the assessment of the physicochemical and bacteriological properties in polyethene packaged sachet water generally known as “pure water” produced and sold in Sagamu local government area of Ogun state, South West, Nigeria. In this research, polyethene packaged sachet water from various producers, sources and distributors were analysed for its physicochemical and microbiological characteristics. Samples were collected randomly from six (6) different locations/towns in Sagamu Local Government. The samples were analyzed for its physicochemical and bacteriological parameters. The results of the analyses were compared with the permissible limit set by WHO, EPA, Canada, and NIS. It was found that most of the parameters were in the expected range of the permissible limits set by WHO, EPA, Canada, and NIS. However, the pH 4.73 – 6.10 of the sachet water samples tends to be acidic below the expected range 6.5 – 10.5. The Total Heterotrophic Bacteria count and Enteric Bacteria count tends to be a little lower below the permissible limits, Total Enteric Bacteria 300 – 480cfu/100ml with permissible limits of <500cfu/100ml and Enteric Bacteria 280 – 380cfu/100ml. It was recommended that water producing industries should site their raw water site in a safe location free from contamination, the government should involve the participation of equipped private and government hospitals with good laboratory to monitor and report accordingly the situation of all water packaging industries in their vicinity, the government should also involve the participation of genuine and reputable individuals to produce and provide paid pipe borne waters to people in their community and regulatory bodies such as SON and NAFDAC should take responsibility by continually re-assessing the production and packaging quality of drinking water in every community.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".