Design of a sheathless capillary electrophoresis-mass spectrometry probe for operation with a Z-Spray™ ionization source
Bibliographic record
Abstract
The construction of a sheathless interface for capillary electrophoresis-electrospray ionization mass spectrometry (CE-ESI-MS), for operation with a Z-Spray source on a Micromass Quattro-LC triple quadrupole mass spectrometer is described. Designing the interface involved machining a probe compatible with the setup already in place on the mass spectrometer, i.e., MegaFlow-Z ESI. The probe was made of Lexan with the same dimensions as the ESI probe supplied with the instrument. The electrical connection at the electrospray end of the CE capillary was made possible by gold-coating (sheathless CE-ESI-MS). The probe design as well as the electrical and power supply requirements are described in detail. Experiments were performed using this interface, and CE separations of mixtures containing pmole and sub-pmole amounts of peptides were monitored by on-line MS. For a standard peptide mixture (10(-4) M), separation efficiency was typically characterized by N > 10(4) theoretical plates with S/N > 400. Using the same experimental setup, it was also possible to conduct on-line CE-ESI-tandem MS (MS/MS) experiments on the same peptide mixture, and to determine the sequence of the peptides. MS/MS scan functions for different precursor ions were used either alternately or sequentially and the results from both methods were compared. The possibility of peptide mass mapping was explored, and CE-ESI-MS results were obtained for the digestion products of equine myoglobin. Separation efficiencies and S/N values were similar to those obtained for standard peptides. A complete map of the digestion products was obtained.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.003 |
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".