Optimization protocol for the extraction of antioxidant components from Origanum vulgare leaves using response surface methodology.

Journal: Saudi journal of biological sciences
Published Date:

Abstract

In the present work, the response surface methodology (RSM) based on a central composite rotatable design (CCRD), was used to determine optimum conditions for the extraction of antioxidant compounds from Origanum vulgare leaves. Four process variables were evaluated at three levels (31 experimental designs): methanol (70%, 80%, and 90%), the solute:solvent ratio (1:5, 1:12.5, 1:20), the extraction time (4, 10, 16 h), and the solute particle size (20, 65, 110 micron). Using RSM, a quadratic polynomial equation was obtained by multiple regression analysis for predicting optimization of the extraction protocol. Analysis of variance (ANOVA) was applied and the significant effect of the factors and their interactions were tested at 95% confidence interval. The antioxidant extract (AE) yield was significantly influenced by solvent composition, solute to solvent ratio, and time. The maximum AE was obtained at methanol (70%), liquid solid ratio (20), time (16 h), and particle size (20 micron). Predicted values thus obtained were closer to the experimental value indicating suitability of the model. Run 25 (methanol:water 70:30; solute:solvent 1:20; extraction time 16 h and solute particle size 20) showed highest TP contents (18.75 mg/g of dry material, measured as gallic acid equivalents) and DPPH radical scavenging activity (IC50 5.04 μg/mL). Results of the present study indicated good correlation between TP contents and DPPH radical scavenging activity. Results of the study indicated that phenolic compounds are powerful scavengers of free radical as demonstrated by a good correlation between TP contents and DPPH radical scavenging activity.

Authors

  • Mudasir Majeed
    Institute of Chemistry, Government College University, Faisalabad 38000, Pakistan.
  • Abdullah I Hussain
    Institute of Chemistry, Government College University, Faisalabad 38000, Pakistan.
  • Shahzad A S Chatha
    Institute of Chemistry, Government College University, Faisalabad 38000, Pakistan.
  • Muhammad K K Khosa
    Institute of Chemistry, Government College University, Faisalabad 38000, Pakistan.
  • Ghulam Mustafa Kamal
    State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Center for Magnetic Resonance, Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan 430071, PR China; University of Chinese Academy of Sciences, 10049 Beijing, PR China.
  • Mohammad A Kamal
    King Fahad Medical Research Center, King Abdalaziz University, Jeddah, Saudi Arabia.
  • Xu Zhang
    China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
  • Maili Liu
    State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Center for Magnetic Resonance, Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan 430071, PR China; University of Chinese Academy of Sciences, 10049 Beijing, PR China.

Keywords

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