Assigning product ions from complex MS/MS spectra: The importance of mass uncertainty and resolving power
Bibliographic record
Abstract
This study offers a unique insight into the mass accuracy and resolving power requirements in MS/MS analyses of complex product ion spectra. In the examples presented here, accurate mass assignments were often difficult because of multiple isobaric interferences and centroid mass shifts. The question then arose whether the resolving power of a medium-resolution quadrupole time-of flight (QqTOF) is sufficient or high-resolution Fourier-transform ion cyclotron resonance (FT-ICR) is required for unambiguous assignments of elemental compositions. For the comparison, two paralytic shellfish poisons (PSP), saxitoxin (STX) and neosaxitoxin (NEO), with molecular weights of 299 and 315 g x mol(-1), respectively, were chosen because of the high peak density in their MS/MS spectra. The assessment of QqTOF collision-induced dissociation spectra and FT-ICR infrared multiphoton dissociation spectra revealed that several intrinsic dissociation pathways leading to isobaric fragment ions could not be resolved with the QqTOF instrument and required FT-ICR to distinguish very close mass differences. The second major source of interferences was M + 1 species originating from coactivated 13C12Cc-1 ion contributions of the protonated molecules of the PSPs. The problem in QqTOF MS results from internal mass calibration when the MH+ ions of analyte and mass calibrant are activated at the same time in the collision or trapping cell. Although FT-ICR MS readily resolved these interfering species, the QqTOF did not provide resolving power >20,000 (full width at half maximum) required to separate most isobaric species. We were able to develop a semi-internal QqTOF calibration technique that activated only the isolated 12C isotope species of the protonated molecules, thus reducing the M + 1 interferences significantly. In terms of overall automated elemental formulas assignment, FT-ICR MS achieved the first formula hit for 100% of the product ions, whereas the QqTOF MS hit rate was only 56 and 65% for STX and NEO product ions, respectively. External mass calibration from commercial FT-ICR and QqTOF instruments gave similar results.
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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 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".