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Record W2327391466 · doi:10.1021/ac1017953

Asymmetrical Emitter Geometries for Increased Range of Stable Electrospray Flow Rates

2010· article· en· W2327391466 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueAnalytical Chemistry · 2010
Typearticle
Languageen
FieldEngineering
TopicElectrohydrodynamics and Fluid Dynamics
Canadian institutionsUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsChemistryElectrosprayBevelCommon emitterVolumetric flow rateElectrospray ionizationAnalytical Chemistry (journal)Electric fieldIonizationElectrodeMass spectrometryOptoelectronicsMechanicsChromatographyIonMaterials science

Abstract

fetched live from OpenAlex

Because electric field distribution is determined by emitter size and shape, sprayer tip geometry determines the optimum liquid flow rate that can be processed by the electrospray ionization interface. Electric field is the highest at the sharpest edge of an electrode; therefore, for a beveled tip, the field is highest at the very tip, and for a conventional symmetrically tapered tip, the field is the highest around the rim of the electrode. Electrospray performance as a function of flow rate was investigated using both continuous infusion and peak-based analysis. The sharpest symmetrical emitter gave the most stable electrospray ionization (ESI) at flow rates ≤0.10 μL/min, while beveled emitters provided significantly better performance at expanded flow rates up to 1 μL/min. The use of beveled emitters offers the potential for increased versatility in electrospray ionization interfaces.

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.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.743
Threshold uncertainty score0.708

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 head0.004
GPT teacher head0.212
Teacher spread0.208 · 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