Development of glutaraldehyde‐crosslinked chymotrypsin and an in situ immobilized enzyme microreactor with peptide mapping by capillary electrophoresis
Bibliographic record
Abstract
Immobilized proteolytic enzymes present several advantages over their soluble form, not the least of which is suppression of autoproteolysis peaks even at high enzyme-to-substrate ratios. We have made immobilized chymotrypsin by directly crosslinking it with glutaraldehyde to produce polymeric particles. Digestion of two model substrates using the particles was followed by CE peptide mapping with detection by UV absorbance or LIF. Results showed that autoproteolysis was highly suppressed and that different storage conditions of the particles in the short term (24 h) did not affect digestion of denatured BSA. As well, the chymotrypsin particles were indifferent to the presence of fluorescein groups on a casein substrate. Glutaraldehyde crosslinking of chymotrypsin inside a fused silica capillary column to make an immobilized enzyme reactor (IMER) was achieved in a series of reagent addition and washing steps, entirely automated using a commercial CE instrument. Digestion of myoglobin in the IMER for 30 min at 37°C followed by peptide mapping by CE-MS of the collected digest allowed identification of 17 chymotryptic peptides of myoglobin, or 83% primary sequence coverage.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".