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Record W2299440596 · doi:10.1080/02773813.2015.1104545

Bio-Wax Latex-Modified Paper as Antimicrobial and Water-Vapor-Resistant Packaging Material

2015· article· en· W2299440596 on OpenAlexaff
Dan Zhang, Guanghua Yu, Zhu Long, Huining Xiao, Liying Qian

Bibliographic record

VenueJournal of Wood Chemistry and Technology · 2015
Typearticle
Languageen
FieldMaterials Science
TopicNanocomposite Films for Food Packaging
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsCarnauba waxWaxChemistryAntimicrobialBeeswaxCoatingChemical engineeringReagentNuclear chemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Beeswax and carnauba wax latex particles grafted with antimicrobial agents polyhexamethylene guanidine hydrochloride and polyhexanide were prepared by coupling reaction using N-(3-dimethylaminopropyl)-N'-ethylcarbodiimide hydrochloride as a coupling reagent. As a bifunctional agent for the surface treatment of paper the modified bio-wax latex improved the property of water-vapor resistance and antimicrobial activities of paper significantly after coating. Compared with the control sample the water vapor transmission rate (WVTR) of the paper with coating weight of 12 g/m2 was reduced significantly from 2788.8 g/m2/d to 222.0 g/m2/d (BW-Gly-PHGH) thus demonstrating excellent water vapor barrier performance. The shaking flask method was utilized to investigate the antimicrobial activity against E. coli. The results showed that antimicrobial performance was improved substantially when the amount of added modified bio-wax particles was higher than 20 mg/g fiber. The bacterial inhibition ring test indicated that the antimicrobial mode of the modified bio-wax particles was likely based on the contact mode.

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 score0.007
Threshold uncertainty score0.645

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 science0.0000.000
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 head0.008
GPT teacher head0.221
Teacher spread0.213 · 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

Citations16
Published2015
Admission routes1
Has abstractyes

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