Physicochemical Properties, Total Phenolic and Antioxidant Activity of Mixed Tropical Fruit Juice, TP 3 in 1TM
Bibliographic record
Abstract
This study was carried out on the TP 3 in 1TM juice formulation, which consisted of pomegranate concentrate with guava and roselle extract. This study aimed to determine its physicochemical properties, proximate content, total phenolic content, antioxidant activity, total sugar, vitamin C and several targeted polyphenol compounds. Total phenol content was determined using Folin-Ciocalteu method while antioxidant activity was determined using DPPH and ABTS methods. The results showed pH and total soluble solid values of the juice were 3.69 and 8.1 °Brix, respectively. The juice has brightness colour of L = 33.25, a = 3.16 and b = -4.63. Every 100 ml juice contained 10.92 g total sugar, 4 mg vitamin C and 0.44% titratable citric acid. Proximate analyses showed TP 3 in 1TM juice contained 89.38% moisture, 0.15% total ash, 0.16% protein, 0% fat and 10.31% total carbohydrates. The juice was low in calories (42 kcal/100 ml) and contained total phenolic (609 mg GAE/100 ml) and total monomeric anthocyanin (12.94 mg C3G/100 ml). Antioxidant value obtained through DPPH and ABTS test methods were 88.90% and 472.44 µM TE/ml, respectively. Eight selected individual polyphenol compounds ranged from 0.13-633.73 mg/100 ml have been identified. TP 3 in 1TM juice consisting three different tropical fruits can be considered of having high phenolic content and antioxidant activity. Consumption of mixed tropical juices with various polyphenol compositions will protect human body from several diseases attributed to the reactions of free radicals.
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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".