A Study of Cooking and Varietal Effec ts on Potato in Vitro Bile Acid Binding Capacity
Bibliographic record
Abstract
Potatoes have received negative press about being unhealthy due to having high starch content, but these vegetables contain many healthful components. Many compounds in food, such as soluble dietary fiber, help reduce serum cholesterol levels by binding to bile acids in the digestive tract and causing the body to draw from serum cholesterol to create new bile acids. Potatoes were prepared three different ways (raw, steamed, steamed then cooled) and different varieties of potatoes were used, each with different chemical compositions (King Harry, Elba, Yukon Gold and All-Blue). The potatoes were subjected to an in vitro digestion to simulate the human body’s natural digestion. After digestion a bile acid binding procedure was applied to the potatoes and the absorbance of each sample was read with a spectrophotometer. Results were expressed as amount of bile acids bound and percent bound relative to cholestyramine for each potato sample. It was observed that cooling potatoes after steaming significantly increased bile acid binding ability of the potato. The amount bound for All-Blue and Elba potatoes was significantly higher than Yukon Gold and King Harry potatoes. These findings can help UMaine secure additional research funding and aid the Maine potato industry in promoting potatoes as a healthful food.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".