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Record W2589121219 · doi:10.1002/app.44897

Antibacterial <scp><i>N</i></scp>‐halamine coating on cotton fabric fabricated using mist polymerization

2017· article· en· W2589121219 on OpenAlexfundno aff
Guangyan Luo, Guanghui Xi, Xiyi Wang, Dandan Qin, Yanyan Zhang, Feiya Fu, Xiangdong Liu

Bibliographic record

VenueJournal of Applied Polymer Science · 2017
Typearticle
Languageen
FieldChemistry
TopicAntimicrobial agents and applications
Canadian institutionsnot available
FundersAtlantic Canada Opportunities AgencyNational Natural Science Foundation of China
KeywordsMonomerMaterials sciencePolymerizationCoatingMethacrylateTextilePolymer chemistryMoietyComposite materialOrganic chemistryChemistryPolymer

Abstract

fetched live from OpenAlex

ABSTRACT 3‐Methylallyloxy‐5,5‐dimethylhydantoin (MH), an methacrylate monomer containing N ‐halamine moiety, was synthesized by 5,5‐dimethylhydantoin (DMH) and methacryloyl chloride. Antimicrobial coating of poly[1‐methyl‐1‐(4,4‐dimethyl‐2,5‐dioxoimidazolidin‐carbonyl)ethylene] (PMH) was prepared on cotton fabrics via “mist polymerization” using MH as monomer. The coating gave the cotton fabric with efficient antibacterial function with remarkable durability. In the antibacterial tests, the bacteriostatic reduction rate is greater than 99.78%, and can be maintained over 99.00% even after 30 washing cycles. Compared with other antimicrobial technologies, mist polymerization offers advantages such as achieving antimicrobial function by small consumption of monomer, forming coatings on single‐side of the fabrics, and minimizing the damages on the original properties of cotton during the finishing process. It can be applied in a wide variety of textile products such as sportswear, underwear, socks, and medical textiles. © 2017 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2017 , 134 , 44897.

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 categoriesScience and technology studies
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 score0.021
Threshold uncertainty score1.000

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 studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.000
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 head0.021
GPT teacher head0.270
Teacher spread0.250 · 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.

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

Citations31
Published2017
Admission routes1
Has abstractyes

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