Electrophoresis‐assisted open‐tubular liquid chromatography/mass spectrometry for the analysis of lipooligosaccharide expressed by <b><i>Campylobacter jejuni</i></b>
Bibliographic record
Abstract
Lipooligosaccharide (LOS) is the major component of the external membrane of Campylobacter jejuni. LOS contains a hydrophobic moiety, lipid A, and a hydrophilic moiety, oligosaccharide. Due to the unique mimicry of human ganglioside structures and potential involvement in the induction of the autoimmune polyneuropathies, Guillain-Barré and Miller Fisher syndromes, the structural characterization of C. jejuni LOS has received much attention. We have been using capillary zone electrophoresis-mass spectrometry to analyze O-deacylated LOS from C. jejuni. In an attempt to optimize the separation conditions, the effect of methanol on the separation of LOS was investigated. It was found that methanol resulted in stronger adsorption of LOS onto the wall of fused-silica capillary. In this paper, we applied this adsorption to perform electrophoresis-assisted open-tubular liquid chromatography electrospray mass spectrometry for the analysis of O-deacylated LOS mixtures from C. jejuni. The analytical potential of the proposed strategy for the analysis of O-deacylated LOS glycoforms from five bacterial colonies is demonstrated. Online tandem mass spectrometry is shown to provide a powerful tool for characterization of variations in the hexosamine backbone, phosphorylation of the lipid A, and sialic acid sequence information.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".