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Record W1971790517 · doi:10.1021/ac991191v

Simultaneous Separation of Cationic and Anionic Proteins Using Zwitterionic Surfactants in Capillary Electrophoresis

2000· article· en· W1971790517 on OpenAlexafffund
Nicole E. Baryla, Charles A. Lucy

Bibliographic record

VenueAnalytical Chemistry · 2000
Typearticle
Languageen
FieldEngineering
TopicMicrofluidic and Capillary Electrophoresis Applications
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsChemistryCationic polymerizationPulmonary surfactantChromatographyCapillary electrophoresisIsotachophoresisElectrophoresisMyoglobinAdsorptionAnalytical Chemistry (journal)ElectrolyteOrganic chemistry

Abstract

fetched live from OpenAlex

The zwitterionic surfactant Rewoteric AM CAS U forms a dynamic wall coating that prevents the adsorption of cationic proteins as well as suppresses the electroosmotic flow (EOF). Addition of polarizable anions to buffers containing this zwitterionic surfactant increases the once suppressed EOF to values nearing +3 x 10(-4) cm2/(V s). The retention of the EOF allows for the separation of analytes of widely different mobilities and is demonstrated by the simultaneous separation of cationic and anionic proteins. Using a buffer containing optimal amounts of the polarizable anion perchlorate and surfactant CAS U, the proteins lysozyme, ribonuclease A, alpha-chymotrypsinogen A, and myoglobin are separated in less than 15 min. Efficiencies as high as 1.5 million plates/m and recoveries greater than 91% are observed for proteins injected in distilled water. Migration time reproducibility is approximately 1% RSD within 1 day and approximately 3% RSD from day to day. The anionic and cationic proteins can be separated over a pH range of 5.5-9, all yielding good efficiencies.

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 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 score0.187
Threshold uncertainty score0.600

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.228
Teacher spread0.222 · 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.

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

Citations76
Published2000
Admission routes2
Has abstractyes

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