ArticleScientific reports2025
Artificial intelligence-assisted optimization of extraction enhances the biological activity of Phylloporia ribis.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed.
- Artificial Intelligence Assisted Optimization ofMolecules (Basel, Switzerland) · 2026Article
- Evaluation of phenolic profile and multi-biological activities of Lepista glaucocana extracts optimized by ANN-GA and RSM models.Scientific reports · 2026Article
- Evaluation of the phenolic profile and biological activities of Boletus speciosus extracts optimized with response surface methodology and artificial neural networks-genetic algorithm.Scientific reports · 2026Article
- Phenolic content and biological activities of Lenzites betulina extracts obtained by ultrasonic-assisted optimization approaches.Scientific reports · 2026Article
- Optimization of Hymenopellis radicata extracts using RSM and ANN-GA and evaluation of biological activities.Scientific reports · 2026Article
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5 authors.
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Abstract
This research focuses on enhancing the extraction efficiency of Phylloporia ribis and assessing its biological functions. Key parameters including extraction temperature, duration, and ethanol-to-water ratio were optimized through both Response Surface Methodology (RSM) and an integrated Artificial Neural Network-Genetic Algorithm (ANN-GA) approach. The extracts obtained via ANN-GA exhibited greater antioxidant activity and higher concentrations of phenolic constituents such as gallic acid, quercetin, and vanillic acid. Compared to RSM-optimized samples, ANN-GA extracts demonstrated superior free radical scavenging, stronger ferric reducing power, and a more potent dose-dependent inhibition of cell proliferation. In addition, P. ribis extracts showed enzyme-inhibitory properties against acetylcholinesterase and butyrylcholinesterase, suggesting their potential utility in pharmaceutical and biotechnological applications. The ANN-GA method appears to be a promising tool for maximizing both the yield of phenolic compounds and the biological efficacy of extracts. Further advanced biotechnological optimization studies are advised to unlock the full therapeutic potential of P. ribis.
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