Antioxidant efficacy of rosemary extract on oxidative stability and nutrient preservation of soybean oil during long-term kitchen use
Bibliographic record
Abstract
Abstract Vegetable oil is susceptible to oxidative rancidity. The previous studies mainly focus on the oxidation of vegetable oils during storage or in sale but not long-term kitchen use. In this study, the oxidative stability of soybean oil (SBO) was investigated over 70 days of kitchen use. The impact of rosemary extract (RE) on the oxidative stability of SBO was evaluated by adding varying concentrations of RE (100–700 mg/kg) to SBO and using the synthetic antioxidant tert-butylhydroquinone as a positive control group. The results showed that the peroxide value of SBO with RE was significantly lower than that of the control group and remained within the acceptable national standard limits, indicating that RE significantly attenuated the oxidation of SBO, particularly at a dosage of 200 mg/kg. In contrast, the peroxide value of soybean oil in the control group without antioxidants exceeded the national standard limit after 70 days of use in the kitchen. Additionally, RE could protect tocopherols and sterols from oxidation. Compared with tertiary butylhydroquinone, 200 mg/kg of RE exhibited superior performance at the same concentration. These findings show that RE can effectively delay SBO oxidation and protect the nutrients, and it is a promising natural antioxidant.
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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 | 0.000 |
| 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".