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Metal-loaded porous polyhydroxylic matrices with improved antibacterial properties

2020· preprint· en· W3040488335 on OpenAlexafffund
Farzaneh Noori, Neree Armelle Tchoumi, Meriem Megoura, Mircea Alexandu Mateescu, Abdelkrim Azzouz

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldMaterials Science
TopicDendrimers and Hyperbranched Polymers
Canadian institutionsUniversité du Québec à Montréal
FundersNatural Sciences and Engineering Research Council of CanadaUniversité Laval
KeywordsPolyolMetalMontmorilloniteAntibacterial activityLewis acids and basesChemistryCelluloseNanoparticleAlkylChemical engineeringMaterials sciencePolymer chemistryOrganic chemistryCatalysisNanotechnologyBacteriaPolyurethane

Abstract

fetched live from OpenAlex

Metal-loaded porous matrices based on clay and cellulose materials displayed appreciable antibacterial activity against Escherichia coli DH5α and Bacillus subtilis 168. BoltornTMH20 polyol dendrimer supported by montmorillonite and cellulose turned out to be effective porous matrices for Cu0 and Ag0 nanoparticles dispersion. The resulting organoclay and polyol-coated cellulose were found to stabilize Cu0 and Ag0 nanoparticles through their terminal hydroxyl groups. This was explained in terms of Lewis Acid-Base interaction between the electron pair of the oxygen atom belonging to the terminal hydroxyl and metal species as supported by XPS data. The metal retention strength was found to correlate with the antibacterial activity, surface basicity and hydrophilic character. These findings are of great importance, because they open promising prospects for vegetal fibers and clay-supported drugs to treat dermatological and gastro-intestinal infections.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.008
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.024
GPT teacher head0.228
Teacher spread0.204 · 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

Citations1
Published2020
Admission routes2
Has abstractyes

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