Supercritical Fluid Chromatography of Myrosinase Reaction Products in Ground Yellow Mustard Seed Oil
Bibliographic record
Abstract
UNLABELLED: Escherichia coli O157:H7 can survive the dry fermented sausage manufacturing process. Compounds generated by enzymatic hydrolysis of glucosinolates present in ground mustard have shown potential antibacterial properties against E. coli O157:H7. In the present study, supercritical fluid chromatography (SFC) was used to investigate degradation products of 4-hydroxybenzyl glucosinolate (sinalbin), the major glucosinolate present in yellow mustard seed. Using SFC the concentration of the reactive component, 4-hydroxybenzyl isothiocyanate (PHBITC) was measured during the hydrolysis of sinalbin with myrosinase while imposing the temperature and pH regimen used for the fermentation phase of dry fermented sausage production. The PHBITC concentration grew to a maximum after 7 h and decreased rapidly. The concentration of 4-hydroxybenzyl alcohol increased rapidly to reach a maximum at 31 h and stayed at that level. The concentration of 4-hydroxybenzyl cyanate increased up to 24 h, then decreased to 65% of its maximum, and stayed constant. The stability of 4-hydroxybenzyl isothiocyanate in the presence of maltodextrin in this system was investigated. It was concluded that the major PHBITC loss in the mixture of the oil with maltodextrin occurred within the first 4 d of its storage. PRACTICAL APPLICATION: During the work 4-hydroxybenzyl isothiocyanate (PHBITC) was measured during the hydrolysis of sinalbin with myrosinase while imposing the temperature and pH regimen used for the fermentation phase of dry fermented sausage production. The results on PHBITC stability in maltodextrin presented provide precautionary information on the limited ability of this material to afford stability of PHBITC expected.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".