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Whole-column imaging capillary electrophoresis of proteins with a short capillary

2002· article· en· W1977030960 on OpenAlexaff
Xing‐Zheng Wu, Janusz Pawliszyn

Bibliographic record

VenueElectrophoresis · 2002
Typearticle
Languageen
FieldEngineering
TopicMicrofluidic and Capillary Electrophoresis Applications
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsCapillary actionCapillary electrophoresisCapillary electrochromatographyChromatographyChemistryAnalytical Chemistry (journal)AnalyteSodium dodecyl sulfateIsoelectric focusingMaterials scienceComposite material

Abstract

fetched live from OpenAlex

Whole-column imaging capillary electrophoresis with a short capillary is discussed. A short capillary (3-6 cm) coated with either fluorocarbon or polyacrylamide was used as a separation capillary. The whole capillary was illuminated with 280 nm light, and the transmitted light was monitored by a linear charge-coupled device (CCD). For the short capillary, hydrodynamic flow caused by a subtle height difference between the anodic and cathodic reservoirs affected the sample migration in the capillary greatly. Several sample injection methods, including use of a cross connection, sealing of the capillary ends with a gel, and use of a gel-filled capillary, have been discussed. The experimental results showed that the peak height decreased and peak width increased with the electromigration distance. Therefore, higher sensitivity was obtained in a short capillary rather than a long capillary. The whole-column imaging CE with the short capillary has been applied for the study of conjugation reactions of protein cytochrome c with sodium dodecyl sulfate (SDS) and the dye Congo Red. The method has also been used for in situ monitoring of the electrophoretic protein desorption process. Our technique is a unique tool for the study of protein binding reactions and the interaction between analyte and inner wall of the capillary.

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 categoriesMeta-epidemiology (narrow)
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 score0.157
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.005
GPT teacher head0.169
Teacher spread0.164 · 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

Citations24
Published2002
Admission routes1
Has abstractyes

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