Six edible insect oils extracted by ultrasound-assisted: Physicochemical characteristics, aroma patterns and antioxidant properties
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
ABSTRACT Oils from six edible insect commercially available in China (Tenebrio molitor (T. molitor), Teleogryllus mitratus, Locusta migratoria manilensis, Cryptotympana atrata (C. atrata), Clanis bilineata tingtauica larvae (C. bilineata tingtauica) and Protaetia brevitarsis larvae (P. brevitarsis)) were extracted by ultrasound-assisted n-hexane and characterized by physicochemical characteristics, biological active compounds, fatty acid composition, volatile components and antioxidant activity. The oil extraction yield of T. molitor was higher than that of other insects, reaching 33.90%. Six edible insect oils had the similar fingerprints with outstanding bands at the wavenumber of 2920, 2850, 1460, and 720 cm -1 . The UFA content in the oil of C. atrata were the highest, reaching 82.51%. The PUFA/SFA indexes of the other five insect oils were all higher than 0.45, except for P. brevitarsis oil. Hydrocarbons were the main volatile substances in the six insect oils. The scavenging ability of the DPPH radical in the oils of C. atrata and C. bilineata tingtauica was notably higher, with IC 50 values of 19.20 mg/mL and 23.63 mg/mL, respectively. The results could be used for the development and use of new edible insect oils in foods to improve resource utilization.
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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 it