Food flavor enhancement, preservation, and bio-functionality of ginger ( <i>Zingiber officinale</i> ): a review
Bibliographic record
Abstract
Ginger (Zingiber officinale) is a spice widely used across the world due to its nutritional and bio-functional properties. This review presents the various uses of ginger for maintaining food quality and the roles of its bioactive compounds in human health. The key components of ginger for adding food value and its bio-functional properties include shogaols, zingerones and gingerols. Ginger facilitates the bioavailability of nutrients and imparts aroma and flavor to foods. It is a natural preservative that improves the organoleptic properties and creates the visual appeal of food. Ginger contains various bioactive phytochemicals such as flavonoids, phenolic acid, terpenes, lipids, organic acids, vitamins, and fiber. These compounds are responsible for the diverse biological activities of ginger, such as antioxidant properties, anti-inflammatory, antimicrobial, anticancer, neuroprotective, cardiovascular, respiratory protection, anti-obesity, antidiabetic, antinausea and antiemetic activities. Future studies should focus on investigating the effectiveness of using ginger in promoting human health through collaborative research activities of experts from different disciplines.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".