Effect of solid-state fermentation on the functionality, digestibility, and volatile profiles of pulse protein isolates
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
Fermentation, as a clean processing technique, induces structural and compositional modifications to plant proteins, improving their functionality and nutrition. However, the effect varies depending on the level of hydrolysis, the fermenting strain, and the specific substrate used. The present work examined the effect of solid-state fermentation (SSF) by Lactobacillus plantarum, Aspergillus niger and Aspergillus oryzae of several niche market pulse (chickpea, green lentil, and faba bean) protein isolates on their functional and nutritional properties. The pulse proteins were moderately hydrolyzed to different extents (degree of hydrolysis of 9%–15%) after 48 h of fermentation, enhancing surface charge and solubility while decreasing water holding capacity and emulsion stability. Protein digestibility was reduced for all pulses which was hypothesized to be due to an increase in phenolic content caused by fermentation. Among the strains, only A. niger outgrew the natural microbiota for all pulses. Variations relating to the property changes were observed among the inocula and pulses; however, no general trend could be concluded. Fermentation produced a large variety of favourable new volatile compounds in the protein isolates.
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.
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 | 0.000 |
| 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