Optimization of Ultrasonicated Kaempferol Extraction from Ocimum basilicum Using a Box-Behnken Design and Its Densitometric Validation.
Foods
; 9(10)2020 Sep 29.
Article
in En
| MEDLINE
| ID: mdl-33003426
ABSTRACT
Kaempferol (KA) is a natural flavonol that can be found in plants and plant-derived foods with a plethora of different pharmacological properties. In the current study, we developed an efficient extraction method for the isolation of KA from ultrasonicated basil leaves (Ocimum basilicum). We successfully employed a Box-Behnken design (BBD) in order to investigate the effect of different extraction variables including methanol concentration (40-80%), extraction temperature (40-60 °C), and extraction time (5-15 min). The quantification of KA yield was carried out by employing a validated densitometric high performance thin layer chromatography in connection with ultraviolet detection (HPTLC-VIS). The obtained data showed that the quadratic polynomial model (R2 = 0.98) was the most appropriate. The optimized ultrasonic extraction yielded 94.7 ng/spot of KA when using methanol (79.99%) at 60 °C for 5 min. When using toluene-ethyl acetate-formic acid (70301 v/v/v) as a solvent, KA was detected in basil leaves at an Retention factor (Rf) value of 0.26 at 330 nm. Notably, the analytical method was successfully validated with a linear regression of R2 = 0.99, which reflected a good linear relationship. The developed HPTLC-VIS method in this study was precise, accurate, and robust due to the lower obtained results from both the percent relative standard deviation (%RSD) and SEM of the O. basilicum. The antioxidant activity of KA (half maximal inhibitory concentration (IC50) = 0.68 µg/mL) was higher than that of the reference ascorbic acid (IC50 = 0.79 µg/mL) and butylated hydroxytoluene (BHT) (IC50 = 0.88 µg/mL). The development of economical and efficient techniques is very important for the extraction and quantification of important pharmaceutical compounds such as KA.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Type of study:
Prognostic_studies
Language:
En
Journal:
Foods
Year:
2020
Document type:
Article
Affiliation country:
Iraq