Sorghum and Sorghum‐Based Products: Nutritional Composition, Prebiotic Potential and Health Benefits in Gut Microbiota Interactions
Bibliographic record
Abstract
family and is the fifth most important crop globally. Sorghum grains (SGs) are rich in health-promoting macro- and micronutrients and phytochemicals. SGs are commonly consumed as food or as ingredients in food, especially in African countries. Therefore, food products such as ogi, bread and flour have been and are still being developed from SGs to provide nutritional and health benefits. However, the nutritional and prebiotic potential of SGs, especially the pigment pericarps, has not been fully exploited. This review describes micronutrients in different varieties of sorghum and the health benefits of sorghum consumption, especially its interaction with the human gut microbiota. It further provides a comprehensive update on the properties and health benefits of improved sorghum-based food products. Finally, the influence of processing methods on SGs is summarised.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".