MétaCan
Menu
Back to cohort
Record W6911873892 · doi:10.5281/zenodo.14604092

Food and Health Value Potentials of Unripe Plantain (Musa paradisiaca) from its Chemical and Nutritional Compositions

2022· article· en· W6911873892 on OpenAlexaff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBanana Cultivation and Research
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsSugarPolyphenolCarbohydrateHealth benefitsFood productsReducing sugarHuman healthChemical compositionBiological value

Abstract

fetched live from OpenAlex

Unripe plantain fruit (Musa paradisiaca) has immense potential as an excellent nutritive source for diabetic patients. Evaluation of its chemical and nutritional properties was carried out as a first step in realizing its food value. Alkaloids, saponins, tannins, phlobatannins, anthraquinones, flavonoids, polyphenols, cardiac glycosides, anthranoids, and reducing sugar in the fruit were assessed by analytical methods. The fruit contained 20%, 4%, 10%, 12.25%, and 65.75% of moisture, ash content, crude fat, protein content, and carbohydrate content, respectively. Additionally, carbohydrate and moisture contents in it were much higher than other parameters studied. The result obtained showed that cardiac glycoside, polyphenols, and reducing sugars were present while alkaloids, saponins, tannins, phlobatannins, anthraquinones, flavonoids and anthranoids were absent. The presence of polyphenols and other medicinal components point to the potential health value of the fruit, while its high carbohydrate composition and appreciable crude fat and protein contents reveal its food value. It is expected also that the phytochemicals can be extracted and successfully encapsulated in diabetic drug formulations to alleviate diabetic conditions.

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.843
Threshold uncertainty score1.000

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 studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.059
GPT teacher head0.249
Teacher spread0.191 · 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.

Study designNot applicable
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

Citations0
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueZenodo (CERN European Organization for Nuclear Research)Same topicBanana Cultivation and ResearchFrench-language works237,207