Date palm ( <i>Phoenix dactylifera</i> ) bioactive constituents and their applications as natural multifunctional ingredients in health‐promoting foods and nutraceuticals: A comprehensive review
Bibliographic record
Abstract
Foods that support human health and longevity are becoming increasingly relevant as substitutes for or adjuncts to pharmacological drugs, either through direct consumption or incorporation into designer foods fortified with health-promoting ingredients. Date palm (Phoenix dactylifera L.) fruits, seeds, and pollen are a cornerstone of diverse food and medicine traditions. Their reported metabolic activities include anti-inflammatory, antioxidant, antihypertensive, antihyperlipidemic, antidiabetic, antitumor, antianemia, hepatoprotective, antibacterial, and antiviral effects. Beneficial effects on gut health and vascular health, as well as effectiveness in alleviating certain dysfunctions of the reproductive system, have also been noted. The genomic diversity of this versatile tree and the diverse agroecological conditions in which it grows lead to appreciable variations in the occurrence of protective nutrients and other high-value bioactive phytochemicals, including flavonoid and non-flavonoid phenolics, carotenoids, phytosterols, and oxylipins, whose potential remains underutilized in the food sector. As food ingredients, date fruits and their co-products can improve the sensory, nutritional, and nutraceutical qualities of a broad range of dietary items. Their high nutritional density can assist with the design of novel or improved products that meet the demand for healthier foods. This review summarizes the current state of evidence on the potentialities of date palm fruits and co-products in functional food development, focusing on the nutrients and extra-nutritional compounds of interest, their biofunctional activities, and factors that influence their abundance and bioactivity. Proofs of concept across food and beverage categories, new developments, and clinical evidence are discussed, followed by recommendations for addressing research gaps.
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 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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".