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July 23, 2026Scientific ReportsOpen Access

Optimization based evaluation of biological activities and chemical composition of Russula vinosa

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Authors

TKTetiana KrupodorovaMSMustafa SevindikAKAras Fahrettin Korkmaz

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Overview

Randomized trial optimizes extraction methods for Russula vinosa, suggesting enhanced health benefits.

Key Points

  • This research aims to optimize extraction conditions for Russula vinosa to enhance its biological activity and chemical composition.
  • Utilized Response Surface Methodology (RSM) and Artificial Neural Network-Genetic Algorithm (ANN-GA) for optimization.
  • Evaluated extraction parameters including temperature, time, and ethanol-water ratio.
  • Analyzed biological activities such as antioxidant properties and anticholinesterase activity.
  • ANN-GA optimization resulted in higher antioxidant values: FRAP 193.010 mg TE/g, DPPH 159.927 mg TE/g, TAS 6.439 mmol/L.
  • Extracts showed lower TOS 11.074 µmol/L and OSI 0.172 compared to RSM.
  • Increased levels of key phenolic compounds like gallic acid and quercetin, indicating improved extraction efficiency.

Cite This Study

Krupodorova et al. (2026) studied this question.

synapsesocial.com/papers/6a61afe0faa9903c5116a9dehttps://doi.org/10.1038/s41598-026-63389-z
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