REVIEW: Molecular Diversity in Pulse Seed Starch and Complex Carbohydrates and Its Role in Human Nutrition and Health
Bibliographic record
Abstract
ABSTRACT Seven major pulse crops account for ≈90% of global pulse production. Pulses are an important component of human nutrition as sources of proteins, carbohydrates, and minor nutrients such as vitamins and minerals. The major pulse seed storage polysaccharide is starch, which is made up of highly branched amylopectin and sparsely branched amylose. Pulse starches generally contain a higher concentration of amylose as compared to cereal and tuber starches. The nonstarch complex carbohydrates are major components of dietary fiber including cellulose, hemicellulose, and pectic polysaccharides with considerable structural diversity. Diets rich in pulses are associated with health benefits such as reduced calorific content, reduced or no effect on blood glucose levels (low glycemic index), and improved heart health. These health benefits have been attributed to the high amylose concentration (>30%) that gives rise to resistant starch that, along with dietary fiber, remains undigested in the small intestine but is fermented by the microbiota in the colon. Colonic fermentation increases the growth of beneficial bacteria and production of short chain fatty acids which have been associated with reduced risk of colon cancer. Clinical trials with human subjects to confirm the beneficial effects of diets rich in pulses are inconclusive. Advances in genetic strategies to develop pulse seeds with desired carbohydrate concentration and composition, carbohydrate structure characterization, combined with utilization of in vitro and in animal models may be helpful to identify carbohydrate structure function relationship responsible for beneficial effects on human health associated with pulse consumption.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".