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Record W2019452618 · doi:10.1002/star.200700607

Isolation and Structure Investigations of Square Banana (<b><i>Musa balbisiana</i></b>) Starch

2007· article· en· W2019452618 on OpenAlexfundno aff
Lázaro de la Torre-Gutiérrez, Juan G. Torruco‐Uco, Arturo F. Castellanos Ruelas, Luis Chel‐Guerrero, David Betancur‐Ancona

Bibliographic record

VenueStarch - Stärke · 2007
Typearticle
Languageen
FieldNursing
TopicFood composition and properties
Canadian institutionsnot available
FundersCentro de Investigación y de Estudios Avanzados del Instituto Politécnico NacionalMcMaster University
KeywordsAmyloseStarchAmylopectinSodium bisulfiteDegree of polymerizationChemistrySolventMusa acuminataFood sciencePolymerizationNuclear chemistryHorticultureBiochemistryOrganic chemistryBiologyPolymer

Abstract

fetched live from OpenAlex

Abstract Starch was isolated from unripe square banana ( Musa balbisiana ) fruit and characterized physically and chemically. Isolation was done with a 2 3 factorial design using five replicates in the central trial. Evaluated factors were: flour: solvent ratio (1:6 ‐ 1:10, w/v); sodium bisulfite concentration (0.1 ‐ 0.3%); and soaking time (30 ‐ 60 min). Optimum starch isolation in an alkaline medium was obtained with: 1:5 (w/v) flour: solvent ratio; 0.1% sodium bisulfite concentration; and 60 min soaking time. Starch yield under these conditions was 69.8% with 94.5% purity. Starch granules had an oval‐elongate shape, a size range of 24‐68 μm, and average size of 24.6 μm. Amylose content was 22.2% and amylopectin content 77.8%. Granules had a C‐type ‐ray diffraction pattern and a degree of polymerization (DP) of 3‐20 for lengths of branch chains.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.021
GPT teacher head0.273
Teacher spread0.252 · 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 source (direct Gemma or distilled Codex), 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

Citations15
Published2007
Admission routes1
Has abstractyes

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