Effect of <scp>pH</scp>, biopolymer mixing ratio and salts on the formation and stability of electrostatic complexes formed within mixtures of lentil protein isolate and anionic polysaccharides (κ‐carrageenan and gellan gum)
Bibliographic record
Abstract
Summary Associative phase separation within lentil protein isolate (LPI), polysaccharide (κ‐carrageenan (κ‐CG) and gellan gum (GG)) mixtures was investigated as a function of pH (1.50–8.00) and mixing ratio (1:1–30:1; LPI/polysaccharide) by turbidity and electrophoretic mobility. Effects of salts (NaCl, KCl and CaCl 2 ) on complex stability were also studied as a function of ionic strength. Coacervation typically follows two pH ‐dependent forming events associated with the formation of soluble and insoluble complexes. The addition of polysaccharides to a LPI system (at all ratios) resulted in a significant drop in turbidity over the entire pH range and a shift in net neutrality to lower pH relative to LPI alone; where LPI aggregation was inhibited by repulsive forces between neighbouring polysaccharide chains. As the biopolymer mixing ratio increased, structure formation was less inhibited. The addition of salts resulted in the disruption of formed LPI/polysaccharide complexes.
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 | 0.001 | 0.001 |
| 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 | 0.001 |
| 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".