Tandem Mass Spectrometry Using the Atmospheric Pressure Electron Capture Dissociation Ion Source
Bibliographic record
Abstract
Atmospheric pressure electron capture dissociation (AP-ECD) is an emerging technique capable of being adopted to virtually any electrospray mass spectrometer, without modification of the main instrument. To date, however, because the electron capture reactions occur in the ion source, AP-ECD has been limited by its apparent inability to select precursors prior to fragmentation, i.e., to perform tandem mass spectrometry (MS/MS) experiments. In this paper we demonstrate a novel AP-ECD-MS/MS method using an AP-ECD source on a Xevo G2-S quadrupole time-of-flight (Q-TOF) mass spectrometer from Waters Micromass. The method takes advantage of the tendency for electron capture reactions to generate charge-reduced "ECnoD" products, species that have captured an electron and have had a covalent bond cleaved yet do not immediately dissociate into separate products and so retain the mass of the precursor ion. In the method, ECnoD products from the AP-ECD source are isolated in the quadrupole mass filter and induced to dissociate through supplemental activation in the collision cell, and then the liberated ECD fragment ions are mass analyzed using the high-resolution TOF. In this manner, true MS/MS spectra may be obtained with AP-ECD even though all of the precursors in the source are subjected to electron capture reactions in parallel. Here, using a late-model Q-TOF instrument otherwise incapable of performing electron-based fragmentation, we present AP-ECD-MS/MS results for a group of model peptides and show that informative, high-sequence-coverage spectra are readily attainable with the method.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.005 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".