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Record W4392631122 · doi:10.30574/wjarr.2024.21.3.0712

Physicochemical and bacteriological assessment of the polyethene packaged sachet water (popularly called “pure water”) as a major source of drinking water in Sagamu, Ogun State, Southwest, Nigeria

2024· article· en· W4392631122 on OpenAlexaboutno aff
Asishana Paul Onivefu, Egwonor Loveth Irede, Philip Idemudia Edogun, Ovie Joseph Umanya

Bibliographic record

VenueWorld Journal of Advanced Research and Reviews · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicWater Quality and Pollution Assessment
Canadian institutionsnot available
Fundersnot available
KeywordsOgun stateWater sourceEnvironmental scienceWaste managementEnvironmental healthMedicineWater resource managementGeographyEngineering

Abstract

fetched live from OpenAlex

This study aimed to evaluate the physicochemical and bacteriological characteristics of polyethylene-packaged sachet water, commonly known as "pure water," produced and distributed in the Sagamu local government area of Ogun State, Southwest Nigeria. The research involved analyzing sachet water samples from various producers, sources, and distributors to assess their quality. Samples were collected randomly from six different locations/towns within Sagamu Local Government and subjected to physicochemical and bacteriological analysis. The findings were compared with the permissible limits established by reputable organizations such as WHO, EPA, Canada, and NIS. The results indicated that most parameters fell within the acceptable range set by WHO, EPA, Canada, and NIS. However, the pH levels of the sachet water samples (ranging from 4.73 to 6.10) were found to be acidic, deviating from the expected range of 6.5 to 10.5. Additionally, while the Total Heterotrophic Bacteria count and Enteric Bacteria count were slightly lower than the permissible limits, with Total Enteric Bacteria ranging from 300 to 480 cfu/100ml (permissible limit <500cfu/100ml) and Enteric Bacteria ranging from 280 to 380 cfu/100ml. Recommendations derived from the study include advocating for water-producing industries to establish their raw water sources in contamination-free zones, encouraging the involvement of well-equipped private and government hospitals in monitoring and reporting on the water quality of packaging industries, promoting the provision of safe piped water by credible individuals within communities, and emphasizing the role of regulatory bodies like SON and NAFDAC in continuously assessing the production and packaging standards of drinking water across communities.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.169
Threshold uncertainty score0.487

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.038
GPT teacher head0.355
Teacher spread0.317 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2024
Admission routes1
Has abstractyes

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