Nettle (Urtica dioica) leaves as a novel food: Nutritional, phytochemical profiles, and bioactivities
Bibliographic record
Abstract
Urtica dioica is widely distributed across temperate regions of the world and is highly beneficial and packed with nutritional value including a rich profile of phytochemicals, amino acids, and essential minerals. Due to abundance of these attributes, the nutritional, antioxidant, and antimicrobial properties of Urtica dioica were assessed systematically. Additionally, proximate, functional, antinutrient, mineral, polyphenolic compounds, FRAP, and DPPH assays were also examined. The findings revealed that Urtica dioica contains high Mg, Ca, Fe, and Zn. The examined values of DPPH and FRAP showed high antioxidant potential of Urtica dioica. UHPLC and GC–MS analysis confirmed Urtica dioica as an excellent source of phenolic and bioactive compounds. In view of these experimental findings, Urtica dioica can be incorporated into edible coatings and functional foods. Its excellent antimicrobial properties against Gram +ve and Gram -ve bacteria underscore its viability as an excellent source of functional ingredients in edible coatings.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".