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Record W2588138939 · doi:10.5539/jas.v9n3p1

Preparation of Starch-Based Biodegradable Film and the Application in Agriculture

2017· article· en· W2588138939 on OpenAlexvenueno aff
Lei Xu, Xizhi Jiang, Yongfu Zhao, Liru Xia

Bibliographic record

VenueJournal of Agricultural Science · 2017
Typearticle
Languageen
FieldMaterials Science
Topicbiodegradable polymer synthesis and properties
Canadian institutionsnot available
FundersGovernment of Jiangsu Province
KeywordsStarchMaterials scienceEpichlorohydrinMaleic anhydridePlasticizerPolyethyleneFourier transform infrared spectroscopyLow-density polyethyleneBiodegradationPolymerComposite materialChemical engineeringPolymer chemistryCopolymerOrganic chemistryChemistry

Abstract

fetched live from OpenAlex

A starch-based biodegradable film was prepared in this paper, and the properties of the film were discussed. The film was prepared with polyethylene grafted and blended by epichlorohydrin modified-corn starch, linear low density polyethylene, low density polyethylene and maleic anhydride. Epoxy soybean oil was served as plasticizer and a small amout of ethylene propylene diene monomer was used as compatibilizer. 0.012 mm thickness degradable films were prepared with various blow molding methods. FTIR was used to characterize the modified starch and SEM was used to observe the morphology of the film before and after the modification. The results showed that the film could maintain an excellent performance on mechanical properties and degradation until the content of modified starch increased to 70% and have a good future in agricultural application.

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 score0.000
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)0.0000.000

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 head0.257
Teacher spread0.241 · 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

Citations3
Published2017
Admission routes1
Has abstractyes

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