MOLECULES, cilt.30, ss.1-17, 2025 (SCI-Expanded)
In this study, extraction conditions were optimized to maximize the biological activities of
extracts obtained from Paralepista flaccida, an edible mushroom species. Extraction processes
were carried out using an ultrasonically assisted system, and two different optimization approaches
were used as follows: Response Surface Methodology (RSM) and Artificial Neural
Network–Genetic Algorithm (ANN-GA). The antioxidant potentials of the optimized extracts
were evaluated using DPPH, FRAP, TAS, TOS, and OSI parameters; anticholinesterase
activities were measured against AChE and BChE enzymes; and antiproliferative activities
were investigated in A549, MCF-7, and DU-145 human cancer cell lines. In addition,
phenolic contents were determined by LC-MS/MS analysis. The findings revealed that the
extracts obtained by the RSM method exhibited a superior biological profile compared to
ANN-GA extracts in terms of antioxidant, anticholinesterase, and antiproliferative activities.
The high cytotoxicity observed, particularly in the MCF-7 line, supports the anticancer
potential of this extract. These results demonstrate that optimization strategies are crucial
for increasing not only extract yield but also biological functionality.