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Establishing a Novel Packaging Film by Longan Seed and Tea Polyphenols: Properties and Preservation Action

2024· article· en· W4399723210 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueACS Food Science & Technology · 2024
Typearticle
Languageen
FieldMaterials Science
TopicNanocomposite Films for Food Packaging
Canadian institutionsMcGill University
FundersFundamental Research Funds for the Central UniversitiesDepartment of Science and Technology of Sichuan ProvinceNational Natural Science Foundation of China
KeywordsPolyphenolAction (physics)ChemistryFood scienceOrganic chemistryPhysicsAntioxidant

Abstract

fetched live from OpenAlex

In the present study, for valuable utilization, longan seed was utilized as a matrix to establish a packaging film with tea polyphenols, and its properties and preservation action were further determined. With addition of tea polyphenols, the elongation at break of longan seed film were improved (from 12.0 to 14.6%). Meanwhile, the thermal stability, antioxidant capability, water vapor permeability (from 2.42 to 1.33 × 10 –10 g·m –1 ·s –1 ·Pa –1 ), and oxygen permeability (from 2.79 to 2.64 × 10 –16 g·m –1 ·s –1 ·Pa –1 ) of longan seed film were ameliorated with tea polyphenols. By using fresh-cut apples as a model, longan seed film with tea polyphenols exhibited significant inhibition on the enzymatic browning of the fresh-cut apples during storage. Furthermore, it inhibited the decrease of total phenol content and increase of soluble solid content of fresh-cut apples. All results suggest that the longan seed film with tea polyphenols shows the potential to protect the freshness of fruits and vegetables in the food industry.

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.

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 categoriesScholarly communication
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 score0.007
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.003
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 head0.032
GPT teacher head0.254
Teacher spread0.222 · 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