Effect of Processing on Mungbean (Vigna radiata) Flour Nutritional Properties and Protein Composition
Bibliographic record
Abstract
Pulses are traditionally processed prior to consumption, providing opportunities for modifying nutritional composition, dependant on the type of pulse and method used. In this study, we investigated the effect of whole seed, dehulling (dahl), germination and roasting on changes in mungbean flour nutritional properties, protein composition and relative protein abundance. Processed flours were analysed and compared for protein content, moisture, fat, ash, dietary fibre, total starch and amylose. Significant differences were imparted on dietary fibre content, with roasting and germination increasing the ratio of insoluble/soluble fibre as well as resistant starch. Comparative proteomic analysis resulted in a combined total of 539 protein identifications, searching against the Mungbean reference genome (NCBI Vigna radiata Annotation Release 100). Normalised spectral abundance factors were used as a measure of relative abundance and statistical analysis was applied (Students’ T-Test), where proteins with a p-value of < 0.05 considered significantly different. Processing imparted considerable changes to nutritional composition and should be further exploited for food applications. The comparative proteomic analyses carried out in this study proved useful for investigating the effect of processing on subsequent changes in protein composition and relative abundance.
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 | 0.000 |
| 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 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".