Effect of chlorophyll content on the multifunctional properties of Telfairia occidentalis aqueous leaf polyphenolic concentrate
Why this work is in the frame
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Bibliographic record
Abstract
• Chlorophyll-enriched Telfairia occidentalis leaf fraction had strong iron reducing capacity. • The Chlorophyll-enriched fraction exhibited strong total antioxidant capacity. • The Chlorophyll-enriched fraction inhibited amylase, renin, and lipase activities strongly. • The Chlorophyll-reduced fraction was a strong metal ion chelator. The aqueous extract from Telfairia occidentalis (TO) leaves was separated by column chromatography into chlorophyll-enriched (CH-E) and chlorophyll-reduced (CH-R) fractions, and their antioxidant and rate of enzyme inhibition activities compared . The total chlorophyll content of CH-E was 46.22 ± 0.16 mg g -1 when compared to 25.29 ± 0.21 and 37.84 ± 0.21 mg g -1 for CH-R and TO, respectively. The main polyphenols found in TO, CH-E, and CH-R were quercetin O-rutinoside and kaempferol O-rutinoside. In comparison to the CH-R fraction, the CH-E and TO had significantly ( p < 0.05) higher ferric-reducing antioxidant power, total antioxidant capacity, and enzyme inhibitory activities against lipase, DPP-IV, α-amylase, α-glucosidase, and renin. In contrast, the CH-R had significantly ( p < 0.05) stronger metal chelation activity but similar angiotensin-converting enzyme inhibition when compared to CH-E. We conclude that the presence of chlorophyll is a positive contributing factor to enhanced radical scavenging and enzyme inhibitory properties of the leaf extract.
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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 | 0.000 | 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) | 0.000 | 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