Antioxidant Effect of Physalis Peruviana Fruit Aqueous Extract − The Antioxidant Effect of Physalis
Why this work is in the frame
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Bibliographic record
Abstract
<p>The acid 2,4-dichlorophenoxyacetic (2,4-D), agrochemical widely applied to the improvement of the agricultural productivity, is recognized as extremely toxic, once that its effects are accompanied by the occurrence of oxidative stress. On this context it becomes fundamental to explore components that are able to reduce the damages caused to the organism by this pesticide. The <em>P. Peruviana</em>, is a plant known that it presents components which contribute to the neutralization of the reactive species. Thus, this study had as purpose to evaluate the effect of <em>P. Peruviana</em> fruit aqueous extract on the bio-markers of oxidative stress in erythrocytes exposed to the 2,4-D. The exposition of samples to the 2,4-D has been done, followed to the treatment of these ones with different concentrations of the <em>P. Peruviana</em> Extract (1; 10; 25; 50 e 83 g/L). The results show an increase of the TBARS, PCs, and GSH after the exposure to the 2,4-D. On the other hand, after the treatment of the samples there was a reduction of the PCs and GSH levels in all the treated groups, and a decrease of the lipid peroxidation levels on the groups that were exposed to the Extract on the concentrations of 1 and 10g/L. The results show that the <em>P. Peruviana</em> owns an effect on the antioxidant system of the organism, viewing that it stimulated the consumption of GSH and thus it was able to fix damages in lipids and proteins provoked by 2,4-D specially on the concentrations of 1 and 10 g/L.</p>
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it