Characterization and Stability of ‘de Russas’ Orange Juice From Organic Cultivation
Bibliographic record
Abstract
The objective of this study was to elaborate whole juice from the varieties of BRS ‘Russas 01’ and BRS ‘Russas 02’ from the orange tree ‘de Russas’, with organic certification and to analyse its quality characteristics. Twenty fruits of each variety were used to prepare the juice, with physicochemical analysis of pH, soluble solids, titratable acidity and the soluble solids/titratable acidity ratio (Ratio). The content of citric acid and vitamin C by high performance liquid chromatography using a UV detector. The stability of vitamin C during three days of storage at 4 °C. The volatile organic compounds by gas chromatography coupled with mass spectrometry. Data were evaluated by analysis of variance and Student’s t-test at 5% significance level. The pH presented an average higher than 4.00, an average content of soluble solids above 10 °Brix and Ratio 7, in compliance with the legislation. The vitamin C was maintained at the end of storage at 79.33% for variety ‘01’ and 86.40% for variety ‘02’. Thirty compounds were identified in the volatile fraction for variety ‘01’ and 61 compounds for variety ‘02’. Thus, it is possible to conclude that the variety BRS ‘Russas 02’ has greater potential to produce whole juice.
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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 | 0.001 | 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 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".