Health and Wellness Product from Mangosteen (Garcinia mangostana L.) Rind: Bioactive Potentials
Bibliographic record
Abstract
Mangosteen rind (MSR) (Garcinia mangostana L.) is a predominant component of the fruit contributing to 62% of the whole fruit.However, utilization of the same for the preparation of health products was not explored due to its sensorially less acceptable parameters.Differential extraction in different polarity solvents of MSR was done and evaluated their acceptability for product preparation.Current study thus is a detailed investigation on bioactivity profiling of MSR fraction and utilization of the same for health product preparation.Among various extracts, 70% ethanol (70%AE) yielded the maximum (15g/100g).Xanthone:Phenolic ratio was 1: 2.8, in 70%AE as opposed to hot water extract -HWE and 50% AE, which contained Xanthone:Phenolic ratio of 1:1.4/5.Higher the phenolic content obviously reduces the bitterness of Xanthones.70% AE contained phenolics 60.08± 0.213 mg/g and xanthones 22.56± 0.317 mg/g.HPLC analysis revealed a spectrum of phenolic acids such as gallic, chlorogenic, caffeic, epicatechin, catechin and ferulic acids at various levels.Potent Free Radical Scavenging (FRS) activity, cytoprotectivity, DNA protectivity, H + K + ATPase inhibitory (PPAI) activities were observed in 70% AE.Gallic/tannic acid appear to contribute to antioxidant activity; while ferulic acid was responsible for PPAI activity in 70%AE.Among xanthones, although -mangostin was the dominating component, gartanin, 8 deoxygartanin and 3-isomangostin contributed to FRS activity.The products were prepared from 70%AE which are sensorially acceptable.Data thus for the first time delineate the specific health beneficial role of both phenolic and xanthone constituents in MSR particularly with higher abundance of phenolics than xanthones.
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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 | 0.001 | 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) | 0.002 | 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".