Proximate Composition, Phenolic Profiles and Antioxidant Capacity of Three Common Bean Varieties (Phaseolus Vulgaris L.)
Bibliographic record
Abstract
Proximate composition, phenolic profiles and antioxidant capacity of three bean varieties (Dimeta, Napirira and Nanyati) were investigated. There were significant (p < 0.05) differences among varieties in all proximate components. Dimeta bean had the highest content of crude fat, and free and bound phenolic compounds, while Nanyati bean had the highest content of ash and carbohydrate. Napirira bean had the highest content of crude protein and all phytochemicals, as well as the oxygen radical absorbance capacity (ORAC). The phenolic compounds existed mainly in the free form as detected by high performance liquid chromatography (HPLC). A total of five phenolic compounds (protocatechuic, p-hydroxybenzoic, p-coumaric, ferulic and sinapinic) were found in these bean varieties while catechin was only detected in Napirira bean. The anthocyanins in these three bean varieties were detected by HPLC-MS. Delphinidin 3-O-glucoside, cyanidin 3-O-glucoside and pelargonidin 3-O-glucoside were the main anthocyanins in Dimeta bean, while cyanidin 3-O-glucoside, pelargonidin 3-O-glucoside and pelargonidin derivatives were the major anthocyanins in both Napirira and Nanyati beans. It could be concluded that significant differences in proximate composition, phenolic profiles and antioxidant capacity occurred among the three varieties with Napirira bean showing superiority as a functional food ingredient.
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How this classification was reachedexpand
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".