Artificial Intelligence-Assisted Optimization of Amanita caesarea Extracts for Bioactive Compounds and Functional Food Applications
Mustafa Sevindik, İskender Karaltı, Aras Fahrettin Korkmaz, Tetiana Krupodorova, Ayşenur Gürgen, Ilgaz Akata · 2026
Read Artificial Intelligence-Assisted Optimization of Amanita caesarea Extracts for Bioactive Compounds and Functional Food Applications by Mustafa Sevindik, İskender Karaltı, Aras Fahrettin Korkmaz, Tetiana Krupodorova, Ayşenur Gürgen, Ilgaz Akata (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13257148.txt.
Description
Mustafa Sevindik leads a 2026 study that uses artificial intelligence to tune extraction from an edible mushroom. Amanita caesarea holds phenolic compounds with antioxidant and other useful actions. Extraction time, heat, and solvent mix decide how much of that value is recovered.
Two optimization routes were compared: a neural network paired with a genetic algorithm, and classic response surface methods. The best hands-on extract was also tested. Chemical profiling measured phenolics, while assays covered antioxidant, cell-growth, and enzyme effects. The network-guided extract performed best overall, with stronger antioxidant action and more gallic acid. Food and supplement developers get evidence that smart optimization beats trial and error. The mushroom itself emerges as a credible source for functional products.
Catalog record
| CREATOR | Mustafa Sevindik, İskender Karaltı, Aras Fahrettin Korkmaz, Tetiana Krupodorova, Ayşenur Gürgen, Ilgaz Akata |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 50 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |