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Record W4379011369 · doi:10.21203/rs.3.rs-2996898/v1

Synthesis and Biological Studies of Cationic Organoiron Star-Shaped Dendrimers Attached with Ketoprofen and Mefenamic Acid at the Peripheries

2023· preprint· en· W4379011369 on OpenAlexaff
Marcus J. Gauthier, Rahimeh Rasouli, Alaa S. Abd‐El‐Aziz, Marya Ahmed, Amani A. Abdelghani

Bibliographic record

VenueResearch Square · 2023
Typepreprint
Languageen
FieldMaterials Science
TopicDendrimers and Hyperbranched Polymers
Canadian institutionsUniversity of Prince Edward Island
Fundersnot available
KeywordsDendrimerMefenamic acidKetoprofenCationic polymerizationCyclic voltammetryChemistryNuclear chemistryPolymer chemistryMaterials scienceCombinatorial chemistryElectrochemistryPhysical chemistryChromatography

Abstract

fetched live from OpenAlex

Abstract The design of new star-shaped dendrimers with ketoprofen and mefenamic acid at the periphery was achieved using the divergent method. The use of cationic cyclopentadienyliron moieties coupled with the introduction of ketoprofen and mefenamic acid to the dendrimer allowed to produce dendrimeric materials that possess antimicrobial and anti-inflammatory activities. The dendrimers' compositions were analyzed through FT-IR, 1H-NMR, and 13C-NMR spectroscopic techniques. Furthermore, all synthesized dendrimers exhibited exceptional thermal stability within the 300 – 350oC range, with the cationic iron moieties breaking down at around 200oC. The surface morphology of the dendrimers was examined using Scanning Electron Micrographs (SEM) with no significant change between the three generations in the morphology. In addition, the electrochemical properties were also analyzed by Cyclic voltammetry (CV). The redox wave intensity and broadness showed changes as the dendrimer generation increased. These dendrimers were tested for their in vitro toxicities in mammalian cell lines, antimicrobial and anti-inflammatory activities and displayed positive results.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.185
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0000.002
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 head0.145
GPT teacher head0.393
Teacher spread0.248 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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