Biological activity and its related compounds of Red Jasmine rice extracts linked to normal fibroblast viability for cosmetic product
Bibliographic record
Abstract
Red jasmine rice is recognized as a healthy food with high phenolic compounds. These compounds present antibacterial and anti-free radical properties. Moreover, colored rice exhibits a biological activity against anticancer. Objectives of this study are 1) exploring a biological screening and cell viability of 70% ethanol and aqueous extracts of red jasmine rice, 2) investigating cytotoxicity to fibroblast NIH3T3 (IC80) that is one hundred cells were found cell viability 80 cells. Red jasmine rice extracts were dried and transformed into a powder using the freeze-drying method. The extracts were treated with fibroblast NIH3T3 for MTT. The highest of IC50 of red jasmine rice extract to scavenge the DPPH and ABTS radicals was found in ethanol extract (53.20±7.37 and 64.17±5.76, respectively). The experiment showed that the ethanol and aqueous extract of red rice did not show cytotoxicity to fibroblast NIH3T3 (IC80). The extracts of red rice show the biological screening of anti-oxidation with total phenolic compounds and flavonoid contents. Moreover, it does not modify the physical properties of the cream formula. It can be concluded that the red rice extract is highly promising for the value addition.
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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) | 0.002 | 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".