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Record W4224296630 · doi:10.1002/app.52442

Development of ionic liquid plasticized high‐tensile starch‐protein‐sorghum bran composite films with antimicrobial activity

2022· article· en· W4224296630 on OpenAlexaff
Varee Tyagi, Yixiang Wang, Bhaswati Bhattacharya

Bibliographic record

VenueJournal of Applied Polymer Science · 2022
Typearticle
Languageen
FieldMaterials Science
TopicNanocomposite Films for Food Packaging
Canadian institutionsMcGill University
Fundersnot available
KeywordsUltimate tensile strengthPlasticizerStarchBranComposite numberIonic liquidMaterials scienceAntimicrobialChemical engineeringFood scienceNuclear chemistryChemistryPolymer chemistryOrganic chemistryComposite materialCatalysis

Abstract

fetched live from OpenAlex

Abstract Ionic liquid (1‐butyl‐3‐methyl imidazolium chloride—[bmim]Cl) was used as a plasticizer alternative to enhance the mechanical strength of the starch‐zein composite films. Additionally, sorghum bran extract (SBE) was utilized as a sustainable source of bioactive compounds to introduce the antimicrobial activity to the composite films. [Bmim]Cl provided better solubilization capacity thereby enhancing the compatibility of film components. Thus, [bmim]Cl substantially improved the tensile strength and elongation at break of the ionic liquid plasticized (8.93 ± 1.59 MPa and 29.53 ± 0.86%) as well as sorghum bran functionalized films (8.99 ± 0.42 MPa and 21.91 ± 0.76%). Incorporation of SBE to the potato starch‐zein film solution enhanced opacity and attributed antioxidant properties to the composite film and that endorsed the possibility of inhibiting lipid peroxidation. Furthermore, the sorghum bran functionalized films possessed antimicrobial activity against Escherichia coli , making them appropriate for active packaging applications.

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)0.001
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 score0.028
Threshold uncertainty score0.895

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.008
GPT teacher head0.215
Teacher spread0.207 · 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

Citations18
Published2022
Admission routes1
Has abstractyes

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