Effects of Dehulling and Roasting on the Phytochemical Composition and Biological Activities of Sesamum indicum L. Seeds
Bibliographic record
Abstract
Recently, processed foods have become an important part of human eating habits. However, several processing techniques, such as dehulling and roasting, are applied to raw foods. Roasting is a thermal process that depends on temperature and time and improves the extraction yield of oil by generating pores in the oilseed cell walls. Sesame (Sesamum indicum L.) is an annual plant belonging to Pedaliaceae and is considered to be one of the oldest oil crops. Nowadays, the cultivation of this plant is economically important in several countries. This review clarifies the botanical characteristics and nutritional importance of sesame seeds, reviews their phytochemical composition, and discusses the effects of dehulling and roasting on their nutritional quality. S. indicum, which is known to contain several classes of bioactive compounds, including fatty acids, phenolic compounds, amino acids, and lignans, has been reported to possess a wide range of biological activities such as antioxidant, anti-inflammatory, anticancer, antimicrobial, and cardioprotective activity; however, processing such as dehulling eliminates undesirable chemical constituents while roasting provides the best chemical composition at moderate temperatures.
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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 | 0.000 | 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) | 0.001 | 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".