Bibliographic record
Abstract
An exploration of the parameters necessary to obtain high-resolution excitation, using dipolar excitation, of an ion in a linear ion trap has been undertaken in this study. These parameters included ion trap pressure, excitation amplitude, excitation period, drive frequency of the ion trap, Mathieu q value and the mass of the ion of interest. An understanding of how these parameters play a role in high-resolution excitation is necessary to the development of a method for the targeted tandem mass spectrometric (MS/MS) analysis of ions with the same nominal mass. Resonance excitation profiles with full width half maxima as narrow as 0.015 m/z units could be obtained, under the right conditions, for an ion from a homogenously substituted triazatriphosphorine at m/z 322.049, which translates into a mass resolution of >21 500. In this particular case the requirement for high resolution was a low trap pressure (3.8 × 10(-5) Torr), low excitation amplitude (3 mV), long excitation period (100 ms) and a high Mathieu q value(0.8) when using a drive frequency of 1.228 MHz. Similar conditions were used to demonstrate the isolation of individual [M + H](+) component ions from mixtures of bromazepam (m/z 316.008)/chlorprothixene (m/z 316.0921)/fendiline (m/z 316.206) and chlorprothixene (m/z 316.0921)/oxycodone (m/z 316.1543)/fendiline (m/z 316.206) prior to obtaining product ion spectra with excitation at q = 0.236. In the former mixture the individual components were isolated with near 100% efficiency while in the latter mixture the isolation efficiency dropped to near 50% for the oxycodone component and to 80% for the other components.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".