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Record W1969140920 · doi:10.1039/b206531b

Competitive immunoassay for vancomycin using capillary electrophoresis with laser-induced fluorescence detection

2002· article· en· W1969140920 on OpenAlexafffund
Michael T. Lam, X. Chris Le

Bibliographic record

VenueThe Analyst · 2002
Typearticle
Languageen
FieldEngineering
TopicMicrofluidic and Capillary Electrophoresis Applications
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of CanadaCanada Research Chairs
KeywordsCapillary electrophoresisChromatographyLaser-induced fluorescenceChemistryImmunoassayFluorescenceDetection limitAnalytical Chemistry (journal)ElectrophoresisAntibodyOpticsMedicine

Abstract

fetched live from OpenAlex

A competitive immunoassay using capillary electrophoresis with laser-induced fluorescence was developed for vancomycin. Capillary electrophoresis using a Tris-glycine running buffer provided adequate separation of the antibody-bound from the unbound fluorescent probe (tracer) in less than 4 min. Laser-induced fluorescence polarization (LIFP) provided high sensitivity detection and simultaneous monitoring of fluorescence intensity and polarization. A fluorescence polarization value of 0.30 confirmed the formation of the antibody-tracer complex. Calibration curves showed a working linear range of 2-3 orders of magnitude with a minimum detectable concentration of 0.98 ng mL(-1) (or 1.1 fg vancomycin). Clinical samples obtained from patients undergoing vancomycin treatment were analyzed for vancomycin and the results correlated well with a standard immunoassay based on latex particle detection that was routinely used by a hospital laboratory. Only 1/10 of the reagents were needed as compared with the standard immunoassay.

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 score0.078
Threshold uncertainty score0.557

Codex and Gemma teacher scores by category

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

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 head0.013
GPT teacher head0.200
Teacher spread0.186 · 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

Citations26
Published2002
Admission routes2
Has abstractyes

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