Impulse-Driven Heated-Droplet Deposition Interface for Capillary and Microbore LC−MALDI MS and MS/MS
Bibliographic record
Abstract
An automated off-line liquid chromatography-matrix-assisted laser desorption ionization (LC-MALDI) interface capable of coupling both capillary and microbore LC separations with MALDI mass spectrometry (MS) and tandem mass spectrometry (MS/MS) has been developed. The interface is a combination of two concepts: analyte concentration from heated hanging droplets and impulse-driven droplet deposition of LC fractions onto a MALDI sample plate. At room temperature the interface allows the coupling of capillary LC separations (i.e., flow rate of <5 microL/min) with MALDI MS. With heating, it can be used to combine microbore LC operated at a relatively high flow rate of up to 50 microL/min with MALDI MS. The collected fractions can be analyzed by MALDI MS and MS/MS instruments, such as time-of-flight (TOF) and quadrupole-TOF MS. Performance of the interface was examined using several peptide and protein standards. It was shown that, using MALDI-TOF MS, [GLU1]-fibrinopeptide B could be detected with a total injection amount of 5 fmol to microbore LC. Chromatographic performance was also monitored. A peak width of 12 s at half-height for [GLU1]-fibrinopeptide B showed no evidence of band broadening due to the interface. The ability of the interface to mitigate ion suppression was studied using a mixture of 100 fmol of [GLU1]-fibrinopeptide B and 10 pmol of cytochrome c tryptic digest. Although fully suppressed under direct MALDI conditions, LC-MALDI analysis was able to detect the 100 fmol peptide with 10 s fraction collection. Finally, the ability to inject relatively large sample amounts to improve detectability of low-abundance peptides was illustrated in the analysis of phosphopeptides from alpha-casein tryptic digests. A digest loaded on column to 2.4 microg and analyzed by LC-MALDI MS/MS resulted in 82% sequence coverage and detection of all nine phosphoserine residues. It is concluded that, being able to handle both high- and low-flow LC separations, the impulse-driven heated-droplet interface provides the flexibility to carry out MALDI analysis of peptides and proteins depending on the information sought after, analysis speed, and sample size.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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".