Seasonal Variation of Proximate Composition and Lipid Nutritional Value of Two Species of Scallops (<i>Chlamys farreri</i> and <i>Patinopecten yessoensis</i>)
Bibliographic record
Abstract
The scallops Chlamys farreri and Patinopecten yessoensis from the Yellow Sea are evaluated according to the seasonal changes of lipid nutritional value including lipid classes, phospholipid (PL) classes, fatty acid (FA) composition, atherogenicity index (IA), thrombogenicity index (IT), and glycerophospholipid molecular species, for the first time. More than 32 species of glycerophosphocholine (GPCho) and 42 species of glycerophosphoethanolamine (GPEtn) are determined. For samples harvested in February, the PL molecular species containing eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA) account for 48.57–50.77% and 80.45–85.50% of total molecular species, respectively, for GPCho and GPEtn. Moreover, the samples harvested in February contain higher levels of polyunsaturated fatty acid (PUFA) (58.76–59.12% of total FA) and PL (84.67–85.11% of total lipids) but lower level of cholesterol (8.77–10.10%) as well as IA (0.29–0.31) and IT (0.12–0.13) compared to samples harvested in other seasons. Therefore considering nutritional value, the lipids from scallops (C. farreri and P. yessoensis) harvested in February have better value in view of commercial exploitation. Practical Application: A systematic and in‐depth investigation on seasonal changes in basic component and lipid nutritional value in adductor muscle of C. farreri and P. yessoensis is reported in this contribution. This useful information makes it possible to use scallop lipid for producing higher value‐added products in view of commercial exploitation. Chlamys farreri and Patinopecten yessoensis from the Yellow Sea are evaluated according to the seasonal changes of lipid qualities including lipid classes, phospholipid classes, fatty acid composition, atherogenicity index, thrombogenicity index, and glycerophospholipid molecular species for the first time. Considering nutritional value, the lipids from scallops (C. farreri and P. yessoensis) harvest in February have better value in view of commercial exploitation.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".