Simultaneous Optimization of Microwave-Assisted Extraction of Phenolic Compounds and Antioxidant Activity of Avocado (Persea americana Mill.) Seeds Using Response Surface Methodology
This study was designed to optimize three microwave-assisted extraction (MAE) parameters (ethanol concentration, microwave power, and extraction time) of total phenolics, total flavonoids, and antioxidant activity of avocado seeds using response surface methodology (RSM). The predicted quadratic mod...
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Format: | Article |
Language: | English |
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Wiley
2020-01-01
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Series: | Journal of Analytical Methods in Chemistry |
Online Access: | http://dx.doi.org/10.1155/2020/7541927 |
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author | Alexander Weremfo Felix Adulley Martin Adarkwah-Yiadom |
author_facet | Alexander Weremfo Felix Adulley Martin Adarkwah-Yiadom |
author_sort | Alexander Weremfo |
collection | DOAJ |
description | This study was designed to optimize three microwave-assisted extraction (MAE) parameters (ethanol concentration, microwave power, and extraction time) of total phenolics, total flavonoids, and antioxidant activity of avocado seeds using response surface methodology (RSM). The predicted quadratic models were highly significant (p<0.001) for the responses studied. The extraction of total phenolic content (TPC), total flavonoid content (TFC), and antioxidant activity was significantly (p<0.05) influenced by both microwave power and extraction time. The optimal conditions for simultaneous extraction of phenolic compounds and antioxidant activity were ethanol concentration of 58.3% (v/v), microwave power of 400 W, and extraction time of 4.8 min. Under these conditions, the experimental results agreed with the predicted values. MAE revealed clear advantages over the conventional solvent extraction (CSE) in terms of high extraction efficiency and antioxidant activity within the shortest extraction time. Furthermore, high-performance liquid chromatography (HPLC) analysis of optimized extract revealed the presence of 10 phenolic compounds, with rutin, catechin, and syringic acid being the dominant compounds. Consequently, this optimized MAE method has demonstrated a potential application for efficient extraction of polyphenolic antioxidants from avocado seeds in the nutraceutical industries. |
format | Article |
id | doaj-art-c55884f615ca475b9e14e7430750a1ef |
institution | Kabale University |
issn | 2090-8865 2090-8873 |
language | English |
publishDate | 2020-01-01 |
publisher | Wiley |
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series | Journal of Analytical Methods in Chemistry |
spelling | doaj-art-c55884f615ca475b9e14e7430750a1ef2025-02-03T06:46:41ZengWileyJournal of Analytical Methods in Chemistry2090-88652090-88732020-01-01202010.1155/2020/75419277541927Simultaneous Optimization of Microwave-Assisted Extraction of Phenolic Compounds and Antioxidant Activity of Avocado (Persea americana Mill.) Seeds Using Response Surface MethodologyAlexander Weremfo0Felix Adulley1Martin Adarkwah-Yiadom2Department of Biochemistry, School of Biological Sciences, University of Cape Coast, Cape Coast, GhanaDepartment of Biochemistry, School of Biological Sciences, University of Cape Coast, Cape Coast, GhanaDrugs, Cosmetics and Forensic Department, Ghana Standards Board, Accra, GhanaThis study was designed to optimize three microwave-assisted extraction (MAE) parameters (ethanol concentration, microwave power, and extraction time) of total phenolics, total flavonoids, and antioxidant activity of avocado seeds using response surface methodology (RSM). The predicted quadratic models were highly significant (p<0.001) for the responses studied. The extraction of total phenolic content (TPC), total flavonoid content (TFC), and antioxidant activity was significantly (p<0.05) influenced by both microwave power and extraction time. The optimal conditions for simultaneous extraction of phenolic compounds and antioxidant activity were ethanol concentration of 58.3% (v/v), microwave power of 400 W, and extraction time of 4.8 min. Under these conditions, the experimental results agreed with the predicted values. MAE revealed clear advantages over the conventional solvent extraction (CSE) in terms of high extraction efficiency and antioxidant activity within the shortest extraction time. Furthermore, high-performance liquid chromatography (HPLC) analysis of optimized extract revealed the presence of 10 phenolic compounds, with rutin, catechin, and syringic acid being the dominant compounds. Consequently, this optimized MAE method has demonstrated a potential application for efficient extraction of polyphenolic antioxidants from avocado seeds in the nutraceutical industries.http://dx.doi.org/10.1155/2020/7541927 |
spellingShingle | Alexander Weremfo Felix Adulley Martin Adarkwah-Yiadom Simultaneous Optimization of Microwave-Assisted Extraction of Phenolic Compounds and Antioxidant Activity of Avocado (Persea americana Mill.) Seeds Using Response Surface Methodology Journal of Analytical Methods in Chemistry |
title | Simultaneous Optimization of Microwave-Assisted Extraction of Phenolic Compounds and Antioxidant Activity of Avocado (Persea americana Mill.) Seeds Using Response Surface Methodology |
title_full | Simultaneous Optimization of Microwave-Assisted Extraction of Phenolic Compounds and Antioxidant Activity of Avocado (Persea americana Mill.) Seeds Using Response Surface Methodology |
title_fullStr | Simultaneous Optimization of Microwave-Assisted Extraction of Phenolic Compounds and Antioxidant Activity of Avocado (Persea americana Mill.) Seeds Using Response Surface Methodology |
title_full_unstemmed | Simultaneous Optimization of Microwave-Assisted Extraction of Phenolic Compounds and Antioxidant Activity of Avocado (Persea americana Mill.) Seeds Using Response Surface Methodology |
title_short | Simultaneous Optimization of Microwave-Assisted Extraction of Phenolic Compounds and Antioxidant Activity of Avocado (Persea americana Mill.) Seeds Using Response Surface Methodology |
title_sort | simultaneous optimization of microwave assisted extraction of phenolic compounds and antioxidant activity of avocado persea americana mill seeds using response surface methodology |
url | http://dx.doi.org/10.1155/2020/7541927 |
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