Ascorbic acid‐induced degradation of liposome‐encapsulated acylated and non‐acylated anthocyanins of black carrot extract
Bibliographic record
Abstract
Abstract BACKGROUND In the presence of ascorbic acid, the degradation of acylated (sinapic, ferulic and p‐coumaric acid derivatives of cyanidin‐3‐xylosylglucosylgalactoside) and non‐acylated anthocyanins of black carrot extract (BCE) encapsulated in liposomes was studied. BCEs (0.2% and 0.4% w/w) were encapsulated in liposomes using different lecithin concentrations (1%, 2% and 4% w/w). RESULTS The liposomes were prepared with particle diameters of less than 50 nm and zeta potentials of about −21.3 mV for extract‐containing liposomes and −27.7 mV for control liposomes. The encapsulation efficiency determined using high‐performance liquid chromatography (HPLC) showed that increasing lecithin levels increased the efficiency to 59% at the same extract concentration. The concentrations of total anthocyanins and individual anthocyanins were determined for ascorbic acid (0.1% w/w)‐degraded extract and liposomes (containing 0.2% w/w extract). Anthocyanin quantification of both liposomal and extract samples was performed by HPLC using cyanidin‐3‐O‐glucoside chloride as standard. Five anthocyanins in the extract and encapsulated liposomes were quantified during 24 h (0–24 h): cyanidin‐3‐xylosylglucosylgalactoside 1.0–0.51 and 0.82–0.58 mg g−1, cyanidin‐3‐xylosylgalactoside 2.5–1.1 and 2.2–1.7 mg g−1, cyanidin‐3‐xylosyl(sinapoylglucosyl)galactoside 0.51–0.14 and 0.35–0.28 mg g−1, cyanidin‐3‐xylosyl(feruloylglucosyl)galactoside 1.37–0.41 and 1.06–0.98 mg g−1, and cyanidin‐3‐xylosyl(coumaroylglucosyl)galactoside 0.28–0.08 mg g−1 for extract and 0.27–0.26 mg g−1 for liposomes, respectively. CONCLUSIONS This study demonstrates the potential beneficial effect of liposomal encapsulation on individual, particularly acylated, anthocyanins after addition of ascorbic acid during a storage time of 24 h.
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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) | 0.001 | 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".