Effect of extraction solvents on the biomolecules and antioxidant properties of scorzonera undulata (asteraceae): Application of factorial design optimization phenolic extraction

Abstract

Background. Phenolic compounds were extracted and isolated from S. undulata roots. Methods. Sample of roots from E. hirta was tested for phenolic compounds, and in vitro antioxidant activity by diphenyl-1-picrylhydrazyl (DPPH) assay, ABTS, FRAP and reducing power was measured using cyanoferrate method. Results. The methanolic fraction exhibited the highest total phenol content (6.12 ±0.11 mg AGE/g DW). On the other hand, the highest fl avonoids concentration was observed in ethyl acetate fraction (2.90 ±0.05 mg CE/g DW) in addition to anthocyanins (28.56 ±3.96 mg/l). Besides, the highest level of tannins content was measured in the polar aprotic solvent ethyl acetate extract (3.25 ±0.06 mg CE/g DW). The different extracts of S. undulata were evaluated for their radical scavenging activities by means of the DPPH assay. The strongest scavenging activity was observed in methanolic fraction scavenged radicals effectively with IC50 values of 0.14 ±0.02 mg/ml. Similarly, the potassium ferricyanide reduction (FRAP) and ABTS + of methanol extract. On the other hand, the total reducing power of ethyl acetate extract was found higher than of other extracts. This paper presents the application of the design-of experiment method for optimizing the extraction of phenolic content using methanol solvent. The resulting regression model has shown that the effect of temperature is not statistically signifi cant (with >95% certainty), while that of agitation speed is. The two main effects are contributed by the solvent concentration and the maceration period. Conclusion. Our results clearly showed that the extraction of phenolic compounds and their antioxidant capacity is signifi cantly affected by solvent combinations. S. undulata presented the highest total phenolic content, total fl avonoids content and antioxidant capacity values. The resulting regression model has shown that the effect of temperature is not statistically signifi cant (with >95% certainty), while that of agitation speed is.