Effects of black soldier fly larvae with and without algal oil on sensory and physical-chemical properties of Chinook salmon fillets
Bibliographic record
Abstract
Abstract The rising global demand for seafood products has increased the need for aquafeed ingredients from both traditional and novel sources, as fishmeal and fish oil production cannot significantly expand to support the industry growth. In light of this challenge, our study investigated the feasibility of the partial replacement of fishmeal and fish oil by black soldier fly larvae meal ( Hermetia illucens , BSFLM), with and without supplemental algal oil (AO), in diets for Chinook salmon ( Oncorhynchus tshawytscha ). The control diet (Diet 1) contained higher amounts of fishmeal and fish oil than the experimental diets. In Diet 2, 10% of the diet was replaced with BSFLM, resulting in 26.9% fish oil reduction. Diet 3 included both 10% BSFLM and 4.2% AO, leading to 46.3% fish oil reduction. Six hundred Chinook salmon were randomly distributed across 12 tanks, with each tank assigned to one of the three diets. The experiment spanned 52 weeks, allowing the fish to grow to near-market size. A 19-member sensory panel performed the evaluations of difference from control (DFC). Additionally, the physical properties of fillets were assessed, and nutrient compositions of diets and muscle tissues were analysed. Panellists reported several differences related to salmon colour, overall appearance and overall taste attributes in the fish fed the experimental diets. Specifically, the fish from the experimental diets exhibited weaker salmon colour and less overall taste. Physical-chemical analyses further reported differences among the diets: the fatty acid profiles in muscle tissues closely resembled those of their respective diets, and cooked muscle tissues from the Diet 3 were softer, corresponds to their lower shrinkage and higher moisture content. Results indicated the feasibility of the use of BSFLM and AO for partial replacement of fishmeal and fish oil. Exploring these alternative ingredients helps enhance aquafeed sustainability and meet the rising demand for aquaculture products.
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 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".