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Record W4244055639 · doi:10.1021/scimeetings.0c02738

Water-soluble, organic fluorophores with powerful electrochemical and photophysical properties

2020· preprint· en· W4244055639 on OpenAlexfundno aff
Christian Fischer, Christof Sparr

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldChemical Engineering
TopicAnalytical Chemistry and Sensors
Canadian institutionsnot available
FundersYork UniversityUniversität BaselSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungNational Science Foundation
KeywordsElectrochemistryFluorescenceWater solubleChemistryChemical engineeringPhotochemistryOrganic chemistryElectrodeOpticsPhysical chemistry

Abstract

fetched live from OpenAlex

Welcome to my presentation: "Water-Soluble, Organic Fluorophores with Powerful Electrochemical and Photophysical Properties", which is part of the virtual ACS Spring Meeting 2020.In the next couple of minutes, I will share with you the key results obtained during my PhD studies in the group of Prof. Christof Sparr at the University of Basel. Slide 2 (full-screen image):Small-molecule organic fluorophores are extremely fascinating and simply beautiful to look at. Slide 3 (full-screen image):Additionally, they are also very helpful in visualizing and supporting our understanding of the complex interplay of biomolecules.This is a fluorescence microscopy image with three distinct fluorophores: Fluorescein, rhodamine and DAPI. Slide 4:Century-long development led from these simple fluoresceins and rhodamines, quite complexly substituted organic fluorophores with distinct dye properties and diverse colors.This includes unsymmetrically substituted fluorophores such as ATTO 647 which is present as a racemate due to atropisomerism that occurs from the restricted rotation about the single bond.Interestingly, the distinct interactions of the two enantiomers in a biological environment are still unexplored today. Slide 5:Also current dye syntheses still rely on archetypical Baeyer condensation and Bernthsen-type reactions.These often require high reaction temperatures, an additional oxidation step or highly reactive reagents that limit the desired dye diversity.Also, the more modern heteroanthrone addition of organometallic reagents would require multiple steps to readjust and change the substitution pattern on the heterocyclic moiety.Therefore, a transformation of ACS Spring Meeting 2020

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: none
Teacher disagreement score0.047
Threshold uncertainty score0.158

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0470.025

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 head0.011
GPT teacher head0.191
Teacher spread0.180 · 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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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