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Record W3106122790 · doi:10.1002/star.202000099

The Effect of Rutin on Starch Hydrogels/Aerogels Made from Electrolyzed Barley Flour

2020· article· en· W3106122790 on OpenAlexafffund
Idaresit Ekaette, Marleny D.A. Saldaña

Bibliographic record

VenueStarch - Stärke · 2020
Typearticle
Languageen
FieldNursing
TopicFood composition and properties
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsStarchRutinCrystallinityElectrolysisMaterials scienceChemistrySelf-healing hydrogelsChemical engineeringNuclear chemistryElectrolyteFood scienceOrganic chemistryPolymer chemistryElectrodeComposite material

Abstract

fetched live from OpenAlex

Abstract Starch can be modified by chemical and physical methods. In this study, electrolysis of barley flour (>99% amylopectin) suspension (1:6 w/w in water) is investigated to understand the effect of electrical voltage (5–30 V) and platinum electrode length (4–8 cm) on the structural properties of barley starch isolates, its aerogels, and hydrogels made in the presence of rutin. After 30 min of electrolysis treatment, the isolated starches have higher magnesium (2.9%) and phosphorus(13.0%) contents compared to 0.8% and 3.5% of the alkali‐treated starch, respectively. The Fourier Transform Infrared analysis shows that electrolysis enhances starch crystallinity, which is reduced by rutin. Also, high water absorption capacity (1659 ± 24%) is observed for electrolyzed starch (15 V/8 cm) aerogels but is reduced by the addition of rutin to 566 ± 70%. All electrolyzed starch hydrogels are opaque and firm (25 g) after 40 days at 23 °C. Green electrolysis process offers chemical (metal complexation) and physical (crystallinity) modification for barley starch.

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 score0.114
Threshold uncertainty score0.753

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 science0.0010.000
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 head0.016
GPT teacher head0.258
Teacher spread0.242 · 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

Citations8
Published2020
Admission routes2
Has abstractyes

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