Impact of supercritical CO2 and traditional solvent extraction systems on the extractability of alkylresorcinols, phenolic profile and their antioxidant activity in wheat bran
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
SC-CO2 and traditional solvent methods were used to extract alkylresorcinols (ARs) in wheat bran (WB) cultivars. WB soluble free, soluble conjugated and bound phenolics were separated by alkaline hydrolysis. Also, the effects of extraction solvents on antioxidant activity were investigated by using three different solvents. The HPLC results showed that the AR content was higher in acetone extracts compared to the SC-CO2. Using ethanol as a co-solvent yielded higher ARs, especially in collector-2 for hard red WB (HRWB) (57.8 mg/100g) and soft red WB (SRWB) (37.8 mg/100g). Ten phenolic acids and six flavonoids were detected in phenolic fractions which ferulic acid was the predominant and mostly found in bound fractions. Two-way ANOVA showed that cultivar, solvent and their interactions had significantly (P < 0.05) different effects on TPC, DPPH, and ORAC values. The best solvents for ORAC, DPPH, and TPC assays were acidified ethanol, 100% acetone, and 50% acetone, respectively.
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 | 0.000 | 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) | 0.000 | 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