Machine learning-assisted optimization of ultrasound-ohmic processing of hawthorn vinegar: antidiabetic activity, phenolic profiling, and molecular docking insights. (PubMed, Front Nutr) - Jul 24, 2026 - "A Box-Behnken experimental design with 27 runs was used, including four independent variables: ultrasound amplitude (40-80%), ultrasound duration (2-6 min), ohmic field strength (20-40 V/cm), and ohmic heating time (2-6 min). Additionally, five phenolic compounds were evaluated by molecular docking analysis against α-amylase and α-glucosidase, and the strongest binding affinities were observed for naringin (-7.40 kcal/mol) and chlorogenic acid (-7.17 kcal/mol), respectively. These findings demonstrate that machine learning-assisted ultrasound-ohmic processing can effectively improve the antidiabetic and functional properties of hawthorn vinegar."
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Deniz Aktaran Bala; Elvan Üstün; Marwa Ezz El-Din Ibrahim; Melikenur Türkol
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