Rice Bran Oil Distillate, a Choice for Gamma-Oryzanol: Separation and Oxidative Stability Study
Bibliographic record
Abstract
<p>Rice bran oil distillate is one among the secondary products produced during refining of rice bran oil. Rice bran oil distillate is a source of several micronutrients and natural antioxidants like Gamma-oryzanol, tocopherols etc. The aim of the present study was to separate Gamma-oryzanol from distillate and utilize it as a stabilizer for edible oil. In order to achieve this aim crystallization process was applied to obtain oryzanol rich concentrate. Further purification of oryzanol was achieved through column chromatography. Fractions of Gamma-oryzanol were quantified through HPLC which gives 0.83% yield. Separated Gamma-oryzanol was used to study the stability of pea nut and linseed oil using rancimat. The experiments were carried out in rancimat at varying temperature (110-130 ºC) and concentration (100-300 ppm). Stability of both the oil was found to be directly proportional to the Gamma-oryzanol concentration and inversely proportional to the temperature.</p>
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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 | 0.005 | 0.003 |
| 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) | 0.000 | 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".