Carotenoprotein from Pacific white shrimp (<i>Litopenaeus vannamei</i>) shells extracted using trypsin from albacore tuna (<i>Thunnus alalunga</i>) spleen: Antioxidant activity and its potential in model systems
Bibliographic record
Abstract
Antioxidative activities of carotenoprotein from Pacific white shrimp shells extracted by trypsin from albacore tuna spleen were investigated. Carotenoprotein exhibited increased DPPH, ABTS radical scavenging activities, ferric reducing antioxidant power (FRAP), metal chelating activity, hydrogen peroxide, and hydroxyl radical scavenging activities as concentration increased up to 5 mg/mL (p < .05). ABTS radical scavenging activity of carotenoprotein was stable over a wide pH range (2–11) and temperature up to 100°C for 180 min. It was also stable in a simulated gastrointestinal tract model system. Carotenoprotein was able to reduce lipid oxidation in a dose-dependent manner. During storage at room temperature, light and dark, 4°C and −20°C for 12 weeks, the ABTS radical scavenging activity of carotenoprotein was stable with more than 75.75% activity retention. Therefore, Pacific white shrimp carotenoprotein may be used as an alternative source of natural antioxidants. Practical applications Carotenoprotein from Pacific white shrimp shells, the by-products from shrimp processing industry, can be extracted using tuna trypsin. This product possessed antioxidative activities and could serve as natural antioxidant to prevent lipid oxidation in foods.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 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 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".