Influence of Extrusion Mixing on Preparing Lipid Complexed Pea Starch for Functional Foods
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
The present work examines the ability to reactively modify pea starch by lipid complexing in a twin‐screw extruder in order to produce a functional food product. The study considers the influence of moisture content, lipid type (myristic acid, palmitic acid) and content, in tests with differing screw designs to reduce enzymatic digestion. The modified starch was characterized for its physicochemical properties (bound lipid content, pasting properties, and Englyst digestion profiles). With near complete conversion at all tested lipid concentrations, differences found in enzyme resistance and pasting properties for the extruded samples were attributed to differences in the mixing environment. The lipid complexed pea starches under optimized conditions achieved a significant but moderate increase in either resistant starch (from 7.8% to 20%) or slowly digestible starch (from 12% to 23%) content compared to their native counterparts; however, the sought nutritional fractions (slowly digestible and resistant) could only be improved simultaneously with palmitic acid. The highest resistant fraction produced in the study corresponded to the higher shear environment tested and for complexes prepared at the highest lipid content.
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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