Transformation of hempseed (Cannabis sativa L.) oil cake proteome, structure and functionality after extrusion
Bibliographic record
Abstract
The entire protein fractions from hempseed, its oil cake (30-40% protein) and the extruded protein isolate (>90% protein) were investigated. The first semi-quantitative mass spectrometry-based proteomics on hempseed was performed, leading to a sum of 1879 differentially abundant proteins being identified from individual pairwise comparisons of each extruded group compared to unextruded hempseed cake. The 'free-form' amino acid content and total amino acid content of hempseed oil cake were enhanced by up to 315% and 18%, respectively, after extrusion. Changes in the structure and thermal properties of hempseed protein were confirmed through circular dichroism, Fourier transform infrared spectroscopy, scanning electron microscopy and differential scanning calorimetry. The proteomic and structural transformation in the extruded hempseed protein fractions contributed to greater values in majority of tested functionality parameters, such as protein solubility, water and oil binding capacity, emulsification properties, and in vitro digestibility, as compared to their unextruded counterparts.
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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 | 0.000 | 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) | 0.001 | 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".