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Record W2156381084 · doi:10.1016/s1044-0305(00)00114-8

Rapidly switchable matrix-assisted laser desorption/ionization and electrospray quadrupole-time-of-flight mass spectrometry for protein identification

2000· article· en· W2156381084 on OpenAlexfundno aff
Andrew N. Krutchinsky, Wenzhu Zhang, Brian T. Chait

Bibliographic record

VenueJournal of the American Society for Mass Spectrometry · 2000
Typearticle
Languageen
FieldChemistry
TopicMass Spectrometry Techniques and Applications
Canadian institutionsnot available
FundersNational Center for Research ResourcesHealth CanadaNational Institutes of Health
KeywordsChemistryMass spectrometryIonizationQuadrupoleAnalytical Chemistry (journal)Electrospray ionizationAmbient ionizationMatrix-assisted laser desorption electrospray ionizationIon sourceQuadrupole mass analyzerMass spectrumElectrosprayDesorption electrospray ionizationTime-of-flight mass spectrometryMatrix-assisted laser desorption/ionizationIonChromatographyDesorptionChemical ionizationElectron ionizationAtomic physicsPhysicsAdsorption

Abstract

fetched live from OpenAlex

We describe a new interface for a prototype quadrupole-quadrupole-time-of-flight (TOF) mass spectrometer (Centaur, Sciex) that allows rapid switching between electrospray ionization (ESI) and matrix-assisted laser desorption/ionization (MALDI) modes of operation. Instrument performance in both modes is comparable (i.e., resolution approximately 10,000 FWHM, mass accuracy <10 ppm, sensitivity approximately 1 fmol) because the ion source is decoupled from the TOF mass analyzer by extensive gas collisions in the quadrupole stages of the instrument. The capacity to obtain side-by-side high quality ESI and MALDI mass spectra from a single proteolytic mixture greatly facilitates the identification of proteins and elucidation of their primary structures. Improved strategies for protein identification result from this ability to measure spectra using both ionization modes in the same instrument and to perform MS/MS on singly charged as well as multiply charged ions. Examples are provided to demonstrate the utility and performance of the modified instrument.

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: Methods · Consensus signal: Methods
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.003

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 head0.008
GPT teacher head0.258
Teacher spread0.250 · 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
GenreMethods

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

Citations115
Published2000
Admission routes1
Has abstractyes

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Same venueJournal of the American Society for Mass SpectrometrySame topicMass Spectrometry Techniques and ApplicationsFrench-language works237,207