Nutritional Properties, Phytochemicals and In Vitro Antioxidant Assessment of Two Wild Edible Fruits from Assam of North-East India
Bibliographic record
Abstract
The aim of present study was to ascertain the nutritional properties, phytochemical contents and in vitro antioxidant capacities of two wild edible fruits viz. Aporosa dioica (Roxb.) Muell.-Arg. and Ottelia alismoides (L.) Pers. found in Assam of North-East India. Nutritional properties, phytochemical screening, total phenolic content (TPC) and total flavonoid content (TFC) were investigated employing standard methods. Antioxidant properties were assessed following DPPH (1, 1-diphenyl-2-picrylhydrazyl), ABTS (2, 2´-Azinobis (3-ethylbenothiazoline-6-sulfonic acid) diammonium salt), H2O2 (Hydrogen peroxide) and FRAP (Ferric reducing antioxidant power) assays. The results obtained in this study were presented and discussed. A. dioica fruit extract exhibited lower IC50 (DPPH, ABTS and H2O2) values in contrast to O. alismoides fruit extract indicating stronger antioxidant capacity in A. dioica fruit. Higher FRAP value of 106.583 ± 5.204 ?M trolox equivalent (TE)/g dry extract (DE) was found in the methanol extract of A. dioica fruit compared to that of O. alismoides fruit (44.083 ± 7.637 ?M TE/g DE). The TPC found in the methanol extracts of A. dioica and O. alismoides fruits were 146.710 ± 2.807 mg gallic acid equivalents (GAE)/g DE and 93.860 ± 1.172 mg GAE/g DE, respectively, while the TFC was found to be 72.510 ± 8.833 mg quercetin equivalents (QE)/g DE in A. dioica fruit and 43.270 ± 5.361 mg QE/g DE in O. alismoides fruit. These fruits are good sources of nutrients and natural antioxidants and may find applications in formulation of various pharmaceutical drugs.
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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) | 0.000 | 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".