Artificial Intelligence-Assisted Optimization of Amanita caesarea Extracts for Bioactive Compounds and Functional...

Area of Science:

• Food Science
• Pharmacognosy
• Biotechnology

Background:

• Edible mushrooms like Amanita caesarea are rich sources of bioactive compounds.
• Optimizing extraction methods is crucial for maximizing the yield and efficacy of these compounds.
• Artificial intelligence (AI) offers advanced tools for process optimization in natural product extraction.

Purpose of the Study:

• To evaluate the impact of different extraction optimization approaches on Amanita caesarea's biological activities and phenolic profiles.
• To compare AI-assisted optimization (Artificial Neural Network-Genetic Algorithm - ANN-GA) with Response Surface Methodology (RSM) and a best experimental extract (BEE).
• To identify the optimal extraction strategy for enhancing bioactive compound content and biological functions.

Main Methods:

• Extraction parameters (time, temperature, solvent ratio) were optimized using ANN-GA and RSM.
• Biological activities assessed included antioxidant (TAS, TOS, OSI, FRAP, DPPH), antiproliferative, and anticholinesterase assays.
• Phenolic compound profiles were analyzed using Liquid Chromatography-Mass Spectrometry/Mass Spectrometry (LC-MS/MS).

Main Results:

• Extraction optimization strategies significantly influenced the chemical composition and biological activities of the extracts.
• The ANN-GA optimized extract demonstrated superior biological performance compared to RSM and BEE.
• The ANN-GA extract exhibited enhanced antioxidant capacity, improved redox status, stronger antiproliferative and anticholinesterase effects, and higher gallic acid content.

Conclusions:

• Amanita caesarea is a valuable natural source of bioactive compounds with significant health benefits.
• AI-assisted optimization, specifically ANN-GA, is highly effective in maximizing the extraction of beneficial compounds.
• Optimized Amanita caesarea extracts hold promise for applications in the functional food and nutraceutical industries.