A new rapid and micro‐scale hydrolysis, using triethylamine citrate, for lipopolysaccharide characterization by mass spectrometry
Bibliographic record
Abstract
Endotoxin (lipopolysaccharide, LPS) is, in general, composed of two moieties: a hydrophilic polysaccharide linked to a hydrophobic lipid A terminal unit and forms a major surface component of gram-negative bacteria. The structural features of LPS moieties play a role in pathogenesis and also involve immunogenicity and diagnostic serology. The major toxic factor of LPS resides in the lipid A moiety, anchored in the outer layer of the bacterium, and its relative biological activity is critically related to fine structural features within the molecule. In establishing relationships between structural features and biological activities of LPS it is of the utmost importance to develop new analytical methods that can be applied to the complete unambiguous characterization of a specific LPS molecule. Herein is presented a practical rapid and sensitive analytical procedure for the mass spectral screening of LPS using triethylamine citrate as an agent for both disaggregation and mild hydrolysis of LPS. It provides improved matrix-assisted laser desorption/ionization (MALDI) mass spectra and, in particular, affords the identification of fragments retaining labile substituents present in the native macromolecular LPS structures. The methods were developed and applied using purified LPS of Escherichia coli and Salmonella enterica, as well as more complex LPS of Actnobacillus pleuropneumoniae.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".