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Record W2497697416 · doi:10.1002/cjce.22624

Coumarin and carbazole fluorescently modified cellulose nanocrystals using a one‐step esterification procedure

2016· article· en· W2497697416 on OpenAlexvenueno aff
Elena Sîrbu, Samuel Eyley, Wim Thielemans

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2016
Typearticle
Languageen
FieldMaterials Science
TopicAdvanced Cellulose Research Studies
Canadian institutionsnot available
FundersEngineering and Physical Sciences Research CouncilVlaamse regeringFonds Wetenschappelijk OnderzoekEuropean Commission
KeywordsCrystallinityCarbazoleGraftingFluorescenceCelluloseMaterials scienceFluorescence spectroscopyX-ray photoelectron spectroscopyAcetic anhydrideInfrared spectroscopyNuclear chemistrySpectroscopyPolymerAnalytical Chemistry (journal)Chemical engineeringPolymer chemistryChemistryPhotochemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Fluorescent cellulose nanocrystals with carbazole and coumarin functionalities were synthesized in a one‐step esterification reaction using carbazole‐9‐yl‐acetic acid and coumarin‐3‐carboxylic acid respectively, using a p ‐toluenesulphonyl chloride/pyridine system. Characterization with elemental analysis, X‐ray diffraction, X‐ray photoelectron spectroscopy, infrared, absorption and emission spectroscopy, and AFM and TEM imaging confirmed that a high degree of modification could be achieved (up to DS surf = 1.33) while retaining the CNC core crystallinity and nanoparticle dimensions. The present grafting method gives a straightforward way when compared with previously reported fluorescent labelling methodologies and gives an extremely high grafting density while retaining the CNC crystallinity. UV spectroscopy also indicates fluorescence quenching at high grafting densities so that optimal fluorescence does not necessarily mean maximum grafting density.

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 score0.003
Threshold uncertainty score0.305

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 head0.022
GPT teacher head0.233
Teacher spread0.211 · 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

Citations23
Published2016
Admission routes1
Has abstractyes

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