Physicochemical Properties, Total Phenolic and Antioxidant Activity of Mixed Tropical Fruit Juice, TP 3 in 1TM
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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