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Proceedings
  • Abstract
  • Open Access

30 November 2020

An Experimental Study Exploring Box–Behnken Design for Optimal Extraction of Phenolics from Olea europaea Leaves †

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Department of Pharmacognosy, College of Pharmacy, King Khalid University, Abha 61421, Kingdom of Saudi Arabia
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Author to whom correspondence should be addressed.
Presented at the 1st International Electronic Conference on Biomolecules: Natural and Bio-Inspired Therapeutics for Human Diseases, 1–13 December 2020; Available online: https://iecbm2020.sciforum.net/.
This article belongs to the Proceedings The 1st International Electronic Conference on Biomolecules: Natural and Bio-Inspired Therapeutics for Human Diseases

Abstract

Olea europea is among the most important potential plants of the Arabian Peninsula. It is commonly known as Zaytoun in Arabic. Olive leaves possess a wide array of pharmacological and medicinal attributes. Currently, process optimization for extraction parameters in herbal infusions to maximize antioxidant phenolic compounds has attracted consideration. This study examines the optimum microwave-assisted extraction conditions by using response surface methodology (RSM) with Box–Behnken design (BBD) for the better extraction output of total phenolic content from olive leaves taking water as a green solvent. The effect of three independent variables—time (5–15 min) X1, microwave power (40, 60, 80) X2 and solid-solvent ratio (0.5 to 1.5 g/40 mL) X3—on the determination of biomass yield and total phenolic were studied. The influence of process parameters, i.e., X1, X2 and X3, were investigated using Design-Expert software to establish mathematical models and to obtain the optimal conditions of TPC extraction. Results showed that the obtained % yield ranges from 16 to 48%, while the range of TPC was found to be from 28.76 to 221.43 mg GAE/g DW. The significance of regression coefficients was statistically examined by analysis of variance (ANOVA). It was found that the lack of fit value of the quadratic model was insignificant, but the model was significantly fitted. So, the second-order polynomial model could be used to optimize the extraction of phenolic compounds from olive leaves. This study provides ideas with the scientific basis of utilization of olive leaves as a rich source of phenolic compounds to be extracted using Microwave-assisted extraction (MAE).

Supplementary Materials

The following are available online at www.mdpi.com/xxx/s1.

Author Contributions

Conceptualization, S.W. and M.A.; methodology, S.W.; software, M.M.; validation, L.S. (Lama Shara), L.S. (Lujain Saeed) and M.M.; formal analysis, S.W.; investigation, M.A.; resources, S.W.; data curation, M.M.; writing—original draft preparation, S.W.; writing—review and editing, M.A.; visualization, M.M.; supervision, S.W.; project administration, S.W. All authors have read and agreed to the published version of the manuscript.

Institutional Review Board Statement

Not applicable.

Data Availability Statement

The data presented in this study are available on request from the corresponding author. The data are not publicly available due to article has not published.

Conflicts of Interest

The authors declare no conflict of interest.
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