Artificial intelligence–based models for the qualitative and quantitative prediction of a phytochemical compound using HPLC method
Artificial intelligence–based models for the qualitative and quantitative prediction of a phytochemical compound using HPLC method
Isoquercitrin is a flavonoid chemical compound that can be extracted from different plant species such as Mangifera indica (mango), Rheum nobile, Annona squamosal, Camellia sinensis (tea), and coriander (Coriandrum sativum L.). It possesses various biological activities such as the prevention of thromboembolism and has anticancer, antiinflammatory, and antifatigue activities. Therefore, there is a critical need to elucidate and predict the qualitative and quantitative properties of this phytoche