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Record W4229815214 · doi:10.24124/2020/59045

Chemical and antimicrobial properties of Moringa (Moringa oleifera) root and its impact on water quality

2020· dissertation· en· W4229815214 on OpenAlexafffund
Chandehl R. Morgan

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicMoringa oleifera research and applications
Canadian institutionsUniversity of Northern British Columbia
FundersUniversity of Northern British Columbia
KeywordsMoringaChemistryPotassiumTurbidityNutrientWater qualityFood scienceBiologyEcology

Abstract

fetched live from OpenAlex

Moringa oleifera is a tropical tree with nutritious, anti-inflammatory, and antimicrobial properties. Moringa seeds have been studied for their ability to purify water, however roots have not. This study identified the nutrient composition of Moringa roots grown in a greenhouse, and tested whether the roots improved water quality. Moringa roots were dried, powdered and added to contaminated water to test their impact on E. coli, pH, turbidity, and electrical conductivity. The chemical composition of Moringa roots were measured using ICP-MS. The five main elements observed were potassium, phosphorus, magnesium, sodium and calcium. None of the elements extracted were of health concern for drinking water quality. Electrical conductivity and pH remained within drinking water quality guidelines. Moringa root powder resulted in a significant increase in turbidity. Moringa concentration of 600 mg/L removed up to 87% of E. coli in water. Moringa root powder shows some potential as a point-of-use water treatment.

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)0.000
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 score0.047
Threshold uncertainty score0.311

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.051
GPT teacher head0.307
Teacher spread0.257 · 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

Citations1
Published2020
Admission routes2
Has abstractyes

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