Litcius/Paper detail

Optimization of ultrasound-assisted extraction of phenolic-saponin content from Carthamus caeruleus L. rhizome and predictive model based on support vector regression optimized by dragonfly algorithm

Hamza Moussa, Farid Dahmoune, Mohamed Hentabli, Hocine Remini, Lotfi Mouni

2022Chemometrics and Intelligent Laboratory Systems39 citationsDOI

Topics & Concepts

RhizomeExtraction (chemistry)CarthamusBox–Behnken designSonicationChemistryABTSSupport vector machineResponse surface methodologyDPPHChromatographyComputer scienceAntioxidantBotanyTraditional medicineBiologyArtificial intelligenceBiochemistryMedicineSpectroscopy and Chemometric AnalysesFree Radicals and AntioxidantsSpectroscopy Techniques in Biomedical and Chemical Research
Optimization of ultrasound-assisted extraction of phenolic-saponin content from Carthamus caeruleus L. rhizome and predictive model based on support vector regression optimized by dragonfly algorithm | Litcius