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Matrix-assisted laser desorption/ionization quadrupole Time-of-Flight Mass Spectrometry: An elegant tool for peptidomics

2001· article· en· W2084191679 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.

Bibliographic record

VenuePROTEOMICS · 2001
Typearticle
Languageen
FieldChemistry
TopicMass Spectrometry Techniques and Applications
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsMass spectrometryChemistryProtein mass spectrometryTandem mass spectrometryQuadrupoleMatrix (chemical analysis)ChromatographyIonizationAnalytical Chemistry (journal)Mass spectrumSample preparation in mass spectrometryTime-of-flight mass spectrometryAmbient ionizationIonChemical ionizationElectrospray ionizationPhysicsAtomic physics

Abstract

fetched live from OpenAlex

A Matrix-assisted laser desorption/ionization hybrid quadrupole orthogonal acceleration time-of-flight mass spectrometer was employed to acquire neuropeptide mass spectra, directly from neuropeptide secreting tissue deposited on the sample target, in the presence of dihydroxybenzoic acid as matrix. The cockroach corpus cardiacum served as model neuroendocrine tissue. Twelve neuropeptide ion peaks, with mass-to-charge ratio values ranging between 800 and 3,000 Da were selected for tandem mass spectrometry. All peptides below 1,600 Da could be fully sequenced; tandem mass spectrometry analysis of the remaining (three) largest peptides resulted in (limited) sequence tags, which, also due to unavailability of an appropriate neuropeptide structure database, did not allow complete structure elucidation.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.115
Threshold uncertainty score1.000

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)0.0020.000

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 head0.269
Teacher spread0.256 · 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