INVESTIGATION OF HEALTH EFFECT OF FRUIT JUICE FROM LINGONBERRY (VACCINIUM VITIS - IDEA) VIA PHYSICOCHEMICAL METHODS
Bibliographic record
Abstract
Objective: Antioxidants reduce cell damaging effects of free radicals, they also are used as medications to treat various forms of brain injury.Forest fruits as a lingonberry contain a lot of flavonoids and antioxidant supplements which contribute to the protection of different types of cancers and cardiovascular health problems.Purpose: The aim of this study is to explore the relations between natural fluorescence in juice from lingonberry and its total phenolic content and total antioxidant capacity in view of the usefulness of these compounds for human health and hygiene of food.Materials and Methods: For this reason, the juices from lingonberry from the region of Velingrad ånriched with lactulose will be investigated by using optical methods (colour measuring, fluorescence spectroscopy), rheological properties and sensor analysis.It may be an alternative method for quantifying the phenols and vitamins in juice from wild berries.Results: The dependences between chemical parameters, colour characteristics and the ratio between the intensity of emission and the intensity of excitation for exciting wavelength 275 nm have been found.The dependence between antioxidant activity and total phenolic content also exists.Excitation in the UV region is suitable for distinguishing the phenolic content and antioxidant compounds.The most suitable wavelengths found to be 265 nm and 275 nm.Lingonberry juices with lactulose exhibited non-Newtonian behaviour and Ostwald-de-Waele model are applied to calculate its rheological properties.Conclusions: The natural fluorescence of the lingonberry juices was correlated with their antioxidant properties, total phenolic content and lightness.From fluorescence spectra three groups of fluorescence components are determined -phenolic acids, tannins and flavonoids.The obtained results and discussion presented here give the direction for further studies and additional test for validation of the correlation between fluorescence inten-sity and phenolic compounds.In the future investigation, the fluorescence in the visible region will be used for determining the content of vitamins.The fluorescence spectroscopy is a promising technique for the rapid screening of lingonberry juice for antioxidant and phenolic content.The rheological behaviour of pasteurised juice from lingonberry showed a pseudoplastic behaviour.
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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) | 0.002 | 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".