<i>Prosopis juliflora</i>: nutritional value, bioactive activity, and potential application in human nutrition
Bibliographic record
Abstract
Prosopis juliflora is a xerophytic, nitrogen-fixing plant distributed in arid and semi-arid regions. The fruits of this plant are pods, which have seeds inside, and both pods and seeds have high nutritional value and bioactive potential. Different derivatives can be obtained from the pods and seeds: flour, starch, syrup, protein concentrate, and gums. This review aims to gather information from the literature on P. juliflora. It focuses on the nutritional value, bioactive activity, and technological application of pods, seeds, and their derivatives, highlighting their use in human nutrition and new research perspectives. The pod of P. juliflora can be used in several ways, as it has high levels of nutrients. It is used as a food supplement; it has antimicrobial effects and phytochemicals associated with other bioactive activity. Among the pod derivatives, flour is the most studied and can be widely used in bakery products. The seed of P. juliflora also has high nutritional potential and bioactive activity. Among its other derivatives, the gum stands out and can be used for various purposes in the food industry. To expand the use of pods, seeds, and their derivatives in human nutrition, further studies are needed on chemical composition, bioactive activity, toxicity, and nutritional, bioactive, technological, and sensory effects of their application in food products. © 2023 Society of Chemical Industry.
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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) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".