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Record W2121069787 · doi:10.1080/00218460213732

Oxidizable coupling agents: Introduction of surface functionality

2002· article· en· W2121069787 on OpenAlexaff
Michael A. Brook, Amro M. Ragheb

Bibliographic record

VenueThe Journal of Adhesion · 2002
Typearticle
Languageen
FieldChemical Engineering
TopicAnalytical Chemistry and Sensors
Canadian institutionsMcMaster University
Fundersnot available
KeywordsKetoneAldehydeSilanizationSurface modificationAlkenePolyolefinSilaneHydrosilylationPolymer chemistryOrganic chemistryOrganic peroxideMaterials scienceChemistryCatalysisPolymerCopolymer

Abstract

fetched live from OpenAlex

The synthesis and grafting to glass or quartz of alkylalkoxysilane coupling agents (RSi(OR′) 3 ) that are susceptible/responsive to oxidation is described. Hydrosilylation of the inexpensive polyolefin squalene occurred efficiently once or twice with the silane HMe 2 SiOSiMe 2 (CH 2 ) 2 Si(OEt) 3 to give a silane coupling agent 3 that possesses several alkene groups. Once grafted to a silica surface Q-Sq using traditional means, the coupling agent was oxidized and further processed in several different ways. First, epoxidation using soluble peracids led to polyepoxides that could be further hydrolyzed to give polyalcohol surfaces Q-Sq-PAA-H 2 O . Alternatively, ozonolysis with gaseous O 3 led to the ozonides Q-Sq-O 3 , which could be decomposed to give either aldehyde/ketone Q-Sq-O 3 -redu , or ketone/carboxylic acid groups Q-Sq-O 3 -H 2 O 2 , respectively, bound to the surface. The aldehyde/ketone groups were characterized by condensation with dinitrophenylhydrazine to give the highly colored hydrazones Q-Sq-O 3 -redu-DNPH . These studies demonstrate the ready portability of organic chemistry to silica (or related) surfaces using judiciously chosen silane coupling agents and the possibility of controlling surface functionalization by postgrafting oxidation.

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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.030
GPT teacher head0.235
Teacher spread0.205 · 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

Citations2
Published2002
Admission routes1
Has abstractyes

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