Method of Atmospheric Pressure Charge Stripping for Electrospray Ionization Mass Spectrometry and Its Application for the Analysis of Large Poly(Ethylene Glycol)s
Bibliographic record
Abstract
We introduce a new atmospheric pressure charge stripping (AP-CS) method for the electrospray ionization mass spectrometry (ESI-MS) analysis of heterogeneous mixtures, utilizing ion/ion proton transfer reactions within an experimental ion source to remove excess charge from sample ions and thereby reduce spectral congestion. The new method enables the extent of charge stripping to be easily controlled, independent of primary ionization, and there are no complications due to adduct formation. Here, we demonstrate AP-CS with a Xevo G2-S Q-TOF from Waters-Micromass using an ion source originally designed for atmospheric pressure-electron capture dissociation (AP-ECD) experiments; repurposing the AP-ECD ion source for AP-CS requires only adding a supplemental reagent (e.g., a perfluorocompound) to scavenge the electrons and generate anions for the charge-stripping reactions. Results from model peptides are first presented to demonstrate the basic method, including differences between the AP-CS and AP-ECD operating modes, and how the extent of charge stripping may be controlled. This is followed by a demonstration of AP-CS for the ESI-MS analysis of several large poly(ethylene glycol)s (PEGs), up to 40 kDa, typical of those used in biopharmaceutical development.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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 teacher head, 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".