Parametric study of soxhlet extraction of phenolic compounds from vernonia amygdalina leaves

—Phenolic compounds are important secondary metabolites with different pharmacological activities. The effects of extraction parameters of Soxhlet extraction method which include extraction time, solid-to-solvent ratio and ethanol concentration on the recoveries of extraction yields, total phenolic...

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Main Authors: Alara, Oluwaseun Ruth, Abdurahman, Nour Hamid, Abdul Mudalip, Siti Kholijah, Ukaegbu, Chinonso Ishmael, Azhari, Nour Hamid, Kabbashi, Nassereldeen Ahmed
Format: Proceeding Paper
Language:English
Published: Faculty of Computer Systems & Software Engineering, Universiti Malaysia Pahang 2018
Subjects:
Online Access:http://irep.iium.edu.my/67165/
http://irep.iium.edu.my/67165/1/67165_Parametric%20Study%20of%20Soxhlet.pdf
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author Alara, Oluwaseun Ruth
Abdurahman, Nour Hamid
Abdul Mudalip, Siti Kholijah
Ukaegbu, Chinonso Ishmael
Azhari, Nour Hamid
Kabbashi, Nassereldeen Ahmed
author_facet Alara, Oluwaseun Ruth
Abdurahman, Nour Hamid
Abdul Mudalip, Siti Kholijah
Ukaegbu, Chinonso Ishmael
Azhari, Nour Hamid
Kabbashi, Nassereldeen Ahmed
author_sort Alara, Oluwaseun Ruth
building IIUM Repository
collection Online Access
description —Phenolic compounds are important secondary metabolites with different pharmacological activities. The effects of extraction parameters of Soxhlet extraction method which include extraction time, solid-to-solvent ratio and ethanol concentration on the recoveries of extraction yields, total phenolic content (TPC) and total flavonoid content (TFC) from extracts of Vernonia amygdalina leaves were investigated in this study using one-factor-at-a-time experiment (OFAT). Then,the functional group characterization of the extracts at maximum conditions was carried out. The results obtained showed that the three considered extraction parameters significantly influence the recoveries of extraction yield, TPC and TFC. Highest recoveries of extraction yield (14.22±0.19% w/w), TPC (75.94±2.15 mg GAE/g d.w.) and TFC (46.53±1.14 mg QE/g d.w.) were obtained at extraction time of 2 h, solid-to-solvent ratio of 1:20 g/mL and ethanol concentration of 60% v/v. Moreover, six major peaks were identified from the Soxhlet extraction of V. amygdalina leaves at maximum conditions using Fourier transform infrared spectroscopy (FTIR) analysis. Thus, this study showed that V. amygdalina leaf is a potential source of phenolic compounds which can be influence by the extraction parameters.
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institution International Islamic University Malaysia
institution_category Local University
language English
last_indexed 2025-11-14T17:13:21Z
publishDate 2018
publisher Faculty of Computer Systems & Software Engineering, Universiti Malaysia Pahang
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spelling iium-671652018-10-31T03:40:43Z http://irep.iium.edu.my/67165/ Parametric study of soxhlet extraction of phenolic compounds from vernonia amygdalina leaves Alara, Oluwaseun Ruth Abdurahman, Nour Hamid Abdul Mudalip, Siti Kholijah Ukaegbu, Chinonso Ishmael Azhari, Nour Hamid Kabbashi, Nassereldeen Ahmed TP155 Chemical engineering —Phenolic compounds are important secondary metabolites with different pharmacological activities. The effects of extraction parameters of Soxhlet extraction method which include extraction time, solid-to-solvent ratio and ethanol concentration on the recoveries of extraction yields, total phenolic content (TPC) and total flavonoid content (TFC) from extracts of Vernonia amygdalina leaves were investigated in this study using one-factor-at-a-time experiment (OFAT). Then,the functional group characterization of the extracts at maximum conditions was carried out. The results obtained showed that the three considered extraction parameters significantly influence the recoveries of extraction yield, TPC and TFC. Highest recoveries of extraction yield (14.22±0.19% w/w), TPC (75.94±2.15 mg GAE/g d.w.) and TFC (46.53±1.14 mg QE/g d.w.) were obtained at extraction time of 2 h, solid-to-solvent ratio of 1:20 g/mL and ethanol concentration of 60% v/v. Moreover, six major peaks were identified from the Soxhlet extraction of V. amygdalina leaves at maximum conditions using Fourier transform infrared spectroscopy (FTIR) analysis. Thus, this study showed that V. amygdalina leaf is a potential source of phenolic compounds which can be influence by the extraction parameters. Faculty of Computer Systems & Software Engineering, Universiti Malaysia Pahang 2018-08-28 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/67165/1/67165_Parametric%20Study%20of%20Soxhlet.pdf Alara, Oluwaseun Ruth and Abdurahman, Nour Hamid and Abdul Mudalip, Siti Kholijah and Ukaegbu, Chinonso Ishmael and Azhari, Nour Hamid and Kabbashi, Nassereldeen Ahmed (2018) Parametric study of soxhlet extraction of phenolic compounds from vernonia amygdalina leaves. In: National Conference for Postgraduate Research 2018 (NCONPGR 2018), 28th-29th Aug. 2018, Kuantan, Pahang. http://ncon-pgr.ump.edu.my/index.php/en/download/proceedings-book/file
spellingShingle TP155 Chemical engineering
Alara, Oluwaseun Ruth
Abdurahman, Nour Hamid
Abdul Mudalip, Siti Kholijah
Ukaegbu, Chinonso Ishmael
Azhari, Nour Hamid
Kabbashi, Nassereldeen Ahmed
Parametric study of soxhlet extraction of phenolic compounds from vernonia amygdalina leaves
title Parametric study of soxhlet extraction of phenolic compounds from vernonia amygdalina leaves
title_full Parametric study of soxhlet extraction of phenolic compounds from vernonia amygdalina leaves
title_fullStr Parametric study of soxhlet extraction of phenolic compounds from vernonia amygdalina leaves
title_full_unstemmed Parametric study of soxhlet extraction of phenolic compounds from vernonia amygdalina leaves
title_short Parametric study of soxhlet extraction of phenolic compounds from vernonia amygdalina leaves
title_sort parametric study of soxhlet extraction of phenolic compounds from vernonia amygdalina leaves
topic TP155 Chemical engineering
url http://irep.iium.edu.my/67165/
http://irep.iium.edu.my/67165/
http://irep.iium.edu.my/67165/1/67165_Parametric%20Study%20of%20Soxhlet.pdf