Research of removal of soybean peptide bitter by enzymolysis fermented by mixed mucedine
Bibliographic record
Abstract
The preparation of compound protease solution which fermented by mixed mucedine consist of Aspergillus niger,Aspergillus oryzae and hair mould was researched.On the basis of single factor experiment,technological parameters of preparing compound protease were determined by mixture design method to optimize fermentation conditions as following:inoculum size of mixed mucedine was 2%,the ratio of Aspergillus niger,Aspergillus oryzae and hair mould was 1.59 ∶1 ∶1.95,pH was 5,incubation temperature was 30℃,incubation time was 72 hours.Under the condition of the fermentation process,compound protease solution with high enzyme activity was prepared.Debitterizing experiment was carried out with enzymolysis of soybean peptide by compound protease solution.The experimental results showed that best debitterizing conditions as followings:concentration of protease was 70U/mL,enzymolysis pH was 5,enzymolysis temperature was 60℃,enzymolysis time was 2 hours.Under the condition,the yield of short peptide was higher,the bitter taste value was lower,and effect of debitterizing was better.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".