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Research Journal of Pharmacology

ISSN: Online 1993-6019
ISSN: Print 1815-9362
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Optimization for the Extraction of Antioxidant Compounds from Justicia adhatoda Leaves Using Response Surface Methodology

Md. Anwar Hossain, Shammi Akhter, Md. Hossain Sohrab, Farhana Afroz, Mst. Nadira Begum and Satyajit Roy Rony
Page: 49-57 | Received 04 Feb 2023, Published online: 04 Feb 2023

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https://doi.org/10.36478/rjp.2020.49.57

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Abstract

In this study, the response surface methodology (RSM) constructed on a central composite design (CRD), was applied to control optimization for the extraction  of  antioxidant  compounds  from Justicia  adhatoda leaves. Two extraction parameters were assessed at high and low levels (13  experimental  designs): Methanol (30-80%) and the extraction time (4-6 days). Using RSM, a quadratic polynomial equation was used by multiple regression analysis to predict the optimization of the extraction process. Analysis of variance (ANOVA) was applied and the significant effect of the factors and their interactions were tested at a 95% confidence interval. The antioxidant extract (AE) yield was significantly influenced by solvent composition and time. The maximum AE was obtained at methanol (55%) and time (6.41 days) 6.48 g/100 g at run 13. The minimum radical scavenging activity (IC50) values were obtained at (methanol/45% water and extraction time 3.59 days) 1.28 μg mL‾1. It was found that the antioxidant extract yields and radical scavenging  activity  (IC50) of Justicia adhatoda leaves could be optimized at 3.10 g/100 g and 17.10 μg mL‾1 at the optimum condition at a time of 6.06 days and solvent concentration of 69.24%. The results of the antioxidant properties of Justicia adhatoda leaves by using response surface methodology (RSM) confirm this technique's usefulness.

How to cite this article:

Md. Anwar Hossain, Shammi Akhter, Md. Hossain Sohrab, Farhana Afroz, Mst. Nadira Begum and Satyajit Roy Rony. Optimization for the Extraction of Antioxidant Compounds from Justicia adhatoda Leaves Using Response Surface Methodology.
DOI: https://doi.org/10.36478/rjp.2020.49.57
URL: https://www.makhillpublications.co/view-article/1815-9362/rjp.2020.49.57