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Record W4251619683 · doi:10.26434/chemrxiv.11413191.v1

Visualization of Streams of Small Organic Molecules in Continuous-Flow Electrophoresis

2019· preprint· en· W4251619683 on OpenAlexaff
Nikita A. Ivanov, Sven Kochmann, Sergey N. Krylov

Bibliographic record

VenueChemRxiv · 2019
Typepreprint
Languageen
FieldEngineering
TopicMicrofluidic and Capillary Electrophoresis Applications
Canadian institutionsYork University
Fundersnot available
KeywordsAnalyteSTREAMSVisualizationFluorescenceDetection limitContinuous flowInertMicrofluidicsFree-flow electrophoresisAnalytical Chemistry (journal)ChemistryMaterials scienceNanotechnologyChromatographyComputer scienceOrganic chemistryData miningMechanicsOpticsPhysics

Abstract

fetched live from OpenAlex

Continuous-flow electrophoresis (CFE) separates a stream of a multi-component mixture into multiple streams of individual components inside a thin rectangular chamber. CFE will be able to benefit flow chemistry when it is capable of generically detecting streams of small organic molecules. Here we propose a general approach for molecular stream visualization via analyte-caused obstruction of excitation of a fluorescent layer underneath the separation chamber – fluorescent sublayer-based visualization (FSV). We designed and fabricated a CFE device with one side made of quartz and another side made of UV-absorbing visibly-fluorescent, chemically-inert, machinable plastic. This device was demonstrated to support non-aqueous CFE of small organic molecules and quantitative detection of their streams in real-time with a limit of detection below 100 µM. Thus, CFE may satisfy conditions required for its seamless integration with continuous flow organic synthesis in flow chemistry.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.006
GPT teacher head0.204
Teacher spread0.198 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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