Antioxidant properties of selected pigmented and white long grain rice varieties of Sri Lanka at market available polishing rates
Bibliographic record
Abstract
Present study evaluated antioxidant properties (APs) of two long grain red and white pericarp rice varieties (RVs) namely Red Fragrant and White slender with Basmati type grain qualities and a Black pericarp rice variety of Sri Lanka at market available polishing rates (MAPRs). Further, Pakistan White Basmati (PWB) rice obtained from the local market was used for comparison purposes. Seventy percent ethanolic extracts of rice samples prepared at MAPRs (100%, 40% and whole grains) were tested for total phenolic content (TPC), ferric reducing antioxidant power (FRAP), oxygen radical absorbance capacity (ORAC) and DPPH and ABTS radical scavenging activities. In general, higher the grain polishing rate lower the APs. Whole grains of Black rice had significantly higher FRAP while whole grains of both Black and Red Fragrant RVs exhibited significantly higher TPC compared to that of other samples studied. Whole grains of Black rice and 40% polished Red Fragrant had significantly higher ORAC compared to that of other rice samples. DPPH and ABTS radical scavenging activities were also significantly higher in whole grains of Black rice and Red Fragrant. PWB had the least activities for all the tested APs. Selected RVs at MAPRs showed different levels of APs and whole grains of Red Fragrant and Black rice had the highest APs. Even 40% polished Red Fragrant showed high levels of Aps. In addition, APs of 100% polished Red Fragrant and White Slender RVs of Sri Lanka are superior and comparable, respectively to that of PWB at the same polishing rate.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 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".