Optimization of ultrasonication-assisted extraction conditions using RSM-I-Optimal experimental design to recover vitamin D2 and K1 from selected green leafy vegetable samples
Journal of Food Measurement & Characterization
; 17(1):944-955, 2023.
Article
in English
| ProQuest Central | ID: covidwho-2231692
ABSTRACT
This study employed the response surface methodology to optimize the extraction conditions for recovering vitamins D2 and K1 from green leafy vegetables using ultrasonication-assisted extraction. The vitamin content was determined using an Accucore C18 column and a UPLC-Q-ToF/MS method. An RSM-I-Optimal design was used for designing the experiment to find the best combination of solvent level (mL), sonication time (min), sonication frequency (kHz), and temperature (°C). The experimental data from a 25-sample set were fitted to a second-order polynomial equation using multiple regression analysis. The extraction models had R2 values of 0.895 and 0.896, respectively, and the probability values (p < 0.0001) indicated that the regression model was highly significant. The optimal extraction conditions were solvent level of 65 mL, sonication time of 45 min, sonication frequency of 70 kHz, and temperature of 45 °C. Under these conditions, the predicted recovery (%) values for vitamins D2 and K1 were 90.7% and 90.4%, respectively. This study has the potential to use the reported extraction method for routine quantification of vitamins D2 and K1 in the laboratory using UPLC-Q-ToF/MS.
Food And Food Industries; Response surface methodology (RSM); I-optimal design; Ultrasonication-assisted extraction (UAE); Ultraperformance-liquid chromatography quadrupole time-of-flight mass spectrometry (UPLC-Q-ToF/MS); Vitamin D2; Vitamin K1; Multiple regression analysis; Solvents; Optimization; Vegetables; Experimental design; Regression models; Vitamins; Polynomials; Response surface methodology; Design of experiments; Sonication; Statistical analysis; Laboratories; Severe acute respiratory syndrome coronavirus 2; Efficiency; Design optimization; Pharmaceuticals; Ultrasonic imaging
Full text:
Available
Collection:
Databases of international organizations
Database:
ProQuest Central
Type of study:
Experimental Studies
/
Prognostic study
Language:
English
Journal:
Journal of Food Measurement & Characterization
Year:
2023
Document Type:
Article
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