Antioxidant Capacity of Myrciaria Cauliflora Seeds Extracts By Spectrophotometric, Biochemical and Electrochemical Methods Preferred Presentation
Bibliographic record
Abstract
It is well known that fruit processing industries lead to the generation of large amounts of by-products every year, such as seeds and peels, which are frequently considered as waste. However, it has already been proved that these by-products can consist in a rich source of bioactive compounds with valuable nutritional and biological effects (1). In this perspective, there is a growing interest in the discovery of natural antioxidants which can be used as an alternative to synthetic substances by pharmaceutical and food industries (2). Jabuticaba (Myrciaria cauliflora) is a typical fruit from Brazil that belongs to Myrtaceae family. Its seeds are usually discarded as waste by industries and studies have already proven that these by-products are rich in bioactive compounds with promising biological effects (3,4). In this study, it was evaluated the antioxidant activity of hydroalcoholic (EtOH), methanolic (MEtOH), aqueous (AQ) and propanone (AQAc) extracts from jabuticaba seeds. This effect was assessed by their ability to scavenge 2,2-diphenyl-1-picrylhydrazyl (DPPH•), 2,2’-azino-bis (ethylbenzothiazoline-6-sulfonic acid) (ABTS•+), hypochlorous acid (HOCl), and superoxide anion (O2 •−) radicals. The redox properties of jabuticaba seed extracts were studied by using differential pulse voltammetry (DPV). Their protective effect to prevent in vitro oxidative cellular damages induced by 2,2-azobis(2-aminopropanone) dihydrochloride (AAPH) in human erythrocytes was also investigated. The obtained results revealed that all extracts were able to scavenge free radicals used in this work, due to their lower IC50 (inhibitory concentration) values. A similarity between E pa values suggested that the extracts were constituted by analogous electroactive species and exhibited similar antioxidant effect in this assay. However, it was observed that the AQAc extract presented the lowest E pa value (115.1 ± 0.95 mV) indicating a higher antioxidant activity when compared to the other extracts (p < 0.05). Furthermore, it was showed a good positive correlation between the results obtained by using DPV and the synthetic and biological radicals (DPPH•: r = 0.8215; ABTS•+: r = 0.9123; HOCl: r = 0.8193, and O2 •-: r = 0.9916). The extracts protected human erythrocytes against oxidative cellular damage caused by AAPH, which was confirmed by using field-emission gun scanning electron microscopy (FESEM) analysis. Taken together, the results reported in this work evidence that jabuticaba seeds are a source of antioxidant compounds that present a remarkable potential to prevent damage related to oxidative stress in biological systems. In this way, our work suggests the use of this fruit byproduct in further biochemical studies aiming its use as a new nutraceutical and food additive. References Fierascu RC, Sieniawska E, Ortan A, Fierascu I, Xiao J. Fruits By-Products – A Source of Valuable Active Principles. A Short Review. Frontiers in Bioengineering and Biotechnology. 2020;8:1–8. Villacís-Chiriboga J, Elst K, Camp J van, Vera E, Ruales J. Valorization of byproducts from tropical fruits: Extraction methodologies, applications, environmental, and economic assessment: A review (Part 1: General overview of the byproducts, traditional biorefinery practices, and possible applications ). Comprehensive Reviews in Food Science and Food Safety. 2020;19:405–47. Hacke ACM, Granato D, Maciel LG, Weinert PL, do Prado-Silva L, Alvarenga VO, et al. Jabuticaba (Myrciaria cauliflora) Seeds: Chemical Characterization and Extraction of Antioxidant and Antimicrobial Compounds. Journal of food science. 2016;81(9). Fidelis M, do Carmo MA v, Azevedo L, Cruz TM, Marques MB, Myoda T, et al. Response surface optimization of phenolic compounds from jabuticaba (Myrciaria cauliflora [Mart.] O.Berg) seeds: Antioxidant, antimicrobial, antihyperglycemic, antihypertensive and cytotoxic assessments. Food and Chemical Toxicology. 2020;142.
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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) | 0.001 | 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) | 0.001 | 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".