Effect of Ginger Extracts on Palm Olein Quality during Frying and Impact of Fried Oils on Some Biological Parameters of Albino Wistar Rats
Bibliographic record
Abstract
The objective of this work was to evaluate the effect of ginger root extracts on the oxidative stability of palm olein during frying and to determine the impact of fried oils on some biochemical parameters of albino Wistar rats. The extracts were added to palm olein at concentrations 1000, 1400 and 1800 ppm. A sample containing 200 ppm of butylhydroxytoluene (BHT) served as positive control and another without additives was used as negative one. All oil samples were subjected to 15 frying cycles with samples collected at 0, 1, 5, 8, 10 and 15 cycles. Peroxide, anisidine and total oxidation values were performed to assess the oxidative stability of oils samples. Only samples taken at 0, 5, 10 and 15 cycles were used for the in vivo tests. One hundred and five rats divided into twenty-one groups including a neutral control group fed only with the staple food and twenty test groups were given the different oil samples (2 ml/100g of food) daily for thirty days. Results showed that the effectiveness of the extracts was concentration dependent, and that at 1800 ppm, they delayed the oxidation of palm olein better than BHT. It was also observed that consumption of the oils previously enriched with plant extracts resulted in an improvement in the biochemical parameters of the rats compared to those of rats fed with oils enriched with BHT and free from additives. These extracts can be used as natural source of antioxydant to stabilize palm olein.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.016 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".