LC-MS analysis of <i>p</i>-aminosalicylic acid under electrospray ionization conditions manifests a profound solvent effect
Bibliographic record
Abstract
Selected-ion recording (SIR) or multiple-reaction monitoring (MRM) protocols are widely employed for the quantification of targeted analytes by liquid chromatography-mass spectrometry (LC-MS). After chromatographic separation, analytes are desolvated and converted to gaseous ions usually by electrospray-ionization. The chromatographic peaks generated in this way are then integrated for quantification. It is generally assumed that the chromatographic peak intensities are dependent only on the selected MRM-transition protocols and the instrumental parameters set on the mass spectrometer. Using p-aminosalicylic acid (PAS) as a model compound, we demonstrate that the nature of the LC mobile phase exerts a significant effect on the chromatographic peak intensities. Under identical mass spectrometric conditions, chromatographic peak intensities recorded with methanol as the mobile phase were drastically different from those acquired using acetonitrile as the eluent. In fact, the product-ion mass spectra recorded with protonated PAS under different solvent conditions were qualitatively different. The observed differences were attributed to the existence of different protomers of PAS in the gas phase in dissimilar ratios under different solvent-spray conditions. Results from ion-mobility mass spectrometry experiments confirmed this hypothesis. For example, when PAS was sprayed from an acetonitrile solution, the arrival-time profile recorded from the mass-selected m/z 154 ion for protonated PAS showed essentially one arrival-time peak for the N-protonated tautomer. In contrast, the profile recorded from a methanolic PAS solution showed a different arrival-time peak for a more mobile protomer, which was recognized as the carbonyl-protonated PAS. The coexistence of protomers in different and variable ratios in an ensemble of ions generated by electrospray ionization of a single pure compound wields strong ramifications on the identification and quantification of analytes by LC-MS. However, the inclusion of an ion-mobility separator before the mass-selected ions are fragmented and detected by mass spectrometry ameliorates the complications rendered by the coexistence of different protomers and deprotomers.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".