Optimizing decolorization and deodorization to remove pigments and fishy odors while preserving antioxidant activity in Asian swamp eel (Monopterus albus) hydrolysate
Bibliographic record
Abstract
The objective of this study was to develop an efficient method for decolorizing and deodorizing Asian swamp eel (ASE) hydrolysate. At an activated carbon (AC) dosage of 0.5 % and pH 4.0, insoluble peptides from trichloroacetic acid (TCA), which have poor antioxidant activity, were effectively removed. Meanwhile, other nitrogenous fractions with better antioxidant activity were retained, achieving a decolorization rate of 74.02 ± 0.38 %. Orthogonal partial least squares discriminant analysis (OPLS-DA) successfully distinguished the solid phase microextraction gas chromatograph-mass spectrometery (SPME-GC-MS) results of samples treated with different deodorization methods (ASE stock hydrolysate, AC treatment, AC + complex bacteria, AC + yeast, and AC + cyclodextrin). A total of 22 differential volatile compounds with variable importance projection (VIP) values greater than 1 were identified. The combination of AC treatment and cyclodextrin encapsulation effectively removed undesirable odors, enhancing the sensory quality and market competitiveness of the final product.
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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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".