Metabolic Biosynthesis of Potato (<i>Solanum tuberosum</i>l.) Antioxidants and Implications for Human Health
Bibliographic record
Abstract
Potato (Solanum tuberosum L.) is common, affordable, readily stored, easily prepared for consumption, and nutritious. For these reasons, potato has become one of the top five crops consumed worldwide. Consequently, it is important to understand its contribution to both our daily and long-term health. Potato is one of the most important sources of antioxidants in the human diet. As such, it supports the antioxidant defense network in our bodies that reduces cellular and tissue toxicities that result from free radical-induced protein, lipid, carbohydrate, and DNA damage. In this way, potato antioxidants may reduce the risk for cancers, cardiovascular diseases, diabetes, and even radiation damage. A better understanding of these components of potato is needed by the food industry, health professionals, and consumers. This review provides referenced summaries of all of the antioxidant groups present in potato tubers and updated schematics including genetic regulation for the major antioxidant biosynthesis pathways. This review complements current knowledge on the role of potato in human health. We hope it will provide impetus toward breeding efforts to develop cultivars with increased antioxidant capacity as 'functional foods' and encourage potato consumers and processors to work toward preservation of antioxidant capacity in cooked potato and potato products.
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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 | 0.000 |
| 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".