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Record W2053015227 · doi:10.1002/jssc.200900447

Reversed phase capillary HPLC using polymer‐entrapped C18 particles

2009· article· en· W2053015227 on OpenAlexafffund
Graham T. T. Gibson, Dale M. Marecak, Richard D. Oleschuk

Bibliographic record

VenueJournal of Separation Science · 2009
Typearticle
Languageen
FieldEngineering
TopicMicrofluidic and Capillary Electrophoresis Applications
Canadian institutionsQueen's University
FundersNatural Sciences and Engineering Research Council of CanadaQueen's University
KeywordsHigh-performance liquid chromatographyChromatographyCapillary actionPolymerChemistryReversed-phase chromatographyPhase (matter)Capillary electrophoresisMaterials scienceOrganic chemistry

Abstract

fetched live from OpenAlex

Novel capillary columns containing polymer-entrapped octadecylsilyl-modified silica microspheres were evaluated for chromatographic performance. The polymer forms only at the particle surface and in as little as 10 s strongly immobilizes them, obviating the need for a frit. The photoinitiated polymerization is patternable, and various entrapment styles were compared, all of which withstood pressure drops of at least 5000 psi (345 bar). The fritless nature of the columns allows a unique mass production capability whereby long packed columns are entrapped and simply cut afterward. Since the material has previously been shown to be a proficient nanoelectrospray emitter, the columns have enormous potential for use in capillary LC-MS. The evaluation suggests that for the designs that have minimal entrapped regions, the column performance is equivalent to commercial columns containing similar particles.

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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.020
GPT teacher head0.314
Teacher spread0.294 · 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

Citations7
Published2009
Admission routes2
Has abstractyes

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