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Record W4281658202 · doi:10.32920/19911589

Phosphonium Containing UV-Curable Antimicrobials for the Coating and Fabrication of Common Touch Plastics

2022· preprint· en· W4281658202 on OpenAlexaff
Joseph P. Bedard

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldChemistry
TopicAntimicrobial agents and applications
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsBiocideBiofilmAntimicrobialMaterials scienceBiofoulingCoatingPhosphoniumAlkylPolypropyleneNanotechnologyChemical engineeringBacteriaChemistryComposite materialOrganic chemistryPolymer chemistry

Abstract

fetched live from OpenAlex

<p>The attachment and proliferation of antibiotic resistant, biofilm-forming bacteria to oft- handled material surfaces has emerged as a growing concern, particularly in the biomedical, healthcare and food packaging industries. The development of both biocide-releasing and tethered, immobilized biocide surface coatings has risen to meet this demand. While these surface coatings have demonstrated excellent antimicrobial efficacy, there are few examples of antimicrobial surfaces with long-term durability and efficacy. To that end, UV-curable phosphoniums bearing benzophenone anchors were synthesized with a variety of alkyl, aryl, and fluoroalkyl functional groups at phosphorus to probe their efficacy as thermally stable antimicrobial additives in plastics or as surface coatings. The surface topology and characteristics of these materials were studied to gain insight into the mechanism of antimicrobial activity of these materials. Additionally, general design principals for tailoring phosphoniums to function as both additives during injection molding processes and as UV-curable coatings are described, and evaluation against both Gram-negative and Gram-positive bacteria in both applications were carried out. Crucially, polypropylene (PP) materials containing phosphonium with a perfluoroalkyl substituent maintained the ability to kill biofilm-forming bacteria even after being subject to abrasion processes, demonstrating the potential to serve as a long-term antimicrobial material.</p>

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 score0.141
Threshold uncertainty score0.981

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 science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.029
GPT teacher head0.282
Teacher spread0.253 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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