A non‐conventional approach for obtaining phenolic antioxidants from red guava (<i>Psidium guajava</i>L.) by‐products
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The recovery of phenolic antioxidants from agro-industrial by-products using non-conventional techniques is a powerful tool to explore the bioactive potential of natural sources. Therefore, it is imperative to analyze the most suitable method to investigate a plant material’s phenolic composition. This study used ultra-turrax (UTE), ultrasonic bath (BUAE), and pressurized liquid (PLE) for soluble phenolic extraction from guava’s pulp and processing waste. UTE at 25°C for 1 h yielded the highest concentration of total phenolics and flavonoids from guava pulp, while PLE for 30 min at 60°C/10 MPa presented the best performance for flavonoids and condensed tannins recovery from guava waste. PLE produced extracts with 39 phenolics and high antioxidant capacity. Besides, scopoletin, resveratrol, and naringin are being reported for the first time in this fruit. These results suggest possible alternatives for the recovery of bioactive compounds, which may be used to develop nutraceuticals and/or functional foods. Practical applications Upon guava processing, 30% of fruit’s total volume is lost in the form of by-products (seeds, peels, and pulp leftovers). Evidence points out that this fraction, along with guava’s pulp, is rich in phenolics with antioxidant properties. An extraction procedure should be conducted to recover these compounds. However, conventional techniques are laborious, time-consuming, and they generally use a large amount of toxic organic solvent. Ultra-turrax—UTE, ultrasonic bath—BUAE, and pressurized liquid—PLE are non-conventional approaches that make possible the reduction of solvents and the recovery of selected phenolics not possible with conventional techniques. These extracts could be further applied to lipid-rich foods as a natural antioxidant system and/or as an ingredient in the development of nutraceuticals and functional foods.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it