Chia (Salvia hispanica L.) – A Potential Crop for Food and Nutrition Security in Africa
Bibliographic record
Abstract
There has been an increasing demand for functional foods with numerous health benefits due to intensified consumer awareness leading to a major shift in the consumption patterns of food. This has largely been attributed to increased lifestyle diseases across different populations. The use of food with nutraceutical and functional properties for management of lifestyle diseases like diabetes, obesity, and cardiovascular problems is now gaining momentum among the public. Consequently, the consumption of chia seeds (Salvia hispanica L.) has increased in recent years particularly due to its high content of omega-3 fatty acids and dietary fiber. Chia seeds also contain high quality proteins which offer all the essential amino acids and several vital minerals. In addition, chia seeds are a potential source of antioxidants and polyphenolic compounds such as chlorogenic acid, caffeic acid, myricetin, quercetin, and kaempferol with the major phenolic acid being rosmarinic. Owing to the rich nutritional profile, chia seeds provide numerous health benefits such as; cardiac protective and hepatic protective effects, anti-aging and anti-carcinogenic properties. The high amounts of dietary fibers present in the seeds also confer benefits by preserving good glycemic control thus helps in controlling diabetes mellitus. In addition to the numerous health benefits accrued to consumption of chia seeds, they have great potential in application in the food industry for; development of various baked products, production of biodegradable edible films, use as emulsifiers and stabilizers among other uses. This review provides an in-depth insight into the potential of chia crop in promoting nutrition and food security by providing comprehensive information pertaining to; its origin, cultivation and distribution, physical properties, nutritional characteristics, health benefits, functional properties and its potential use in the food industry. It evident that chia seeds contain superior nutritional components as compared to other seeds and also confers many health benefits such as antioxidative, anti-hypertensive and hypoglycemic properties among others. It possesses physical and functional properties that make it an excellent crop for use in food applications for the development of functional foods. Moreover, its application not only limited to food but can also be used for feed. Chia therefore demonstrates great potential as a crop that can be utilized for improved food and nutrition security.
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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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".