Developing emulsion gels by incorporating Jerusalem artichoke inulin and investigating their lipid oxidative stability
Bibliographic record
Abstract
Abstract This study investigated physical, chemical and lipid oxidative properties of emulsion gels (W/O) incorporating Jerusalem artichoke (JA) inulin. Primary purified inulin extract (PPIE, 1%) improved the homogeneity of emulsion gel (with no syneresis) and developed smaller particle size droplets (average 40 μm) than control (average size 60 μm). HPLC revealed that PPIE had 80.28% inulin content compared with commercial inulin (CI, 100%). Crude inulin extract (CIE, 0.08–0.33 mg/mL) delayed linoleic acid oxidation because of higher total phenolic content (4.96 ± 0.01, mg GAE/g), compared with PPIE (0.72 ± 0.03). Lipid oxidative stability of emulsion gels with inulin samples was in the order of CI > PPIE > CIE (P < 0.05) by Rancimat analysis, which agreed with volumetric gel index results. This study suggests that emulsion gels with JA inulin (PPIE) could act as a potential fat replacement in food systems. Graphical abstract
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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".