Application of Response Surface Methodology for the Optimization of the Extraction of Triterpenoid Saponins from Azadirachta excelsa Leaves

Azadirachta excelsa originates from the Meliaceae family and is often subjected to bioactivity studies due to the presence of various types of compounds such as phenolics, flavonoids and terpenes. Triterpenoid saponins are diverse groups under terpenoids and are secondary metabolites produced by pla...

Full description

Bibliographic Details
Main Authors: Kahviyaah Letchumanan, Nor Hayati Abdullah, Mazura Md. Pisar, Hada Masayu Ismail, Roszaini Kadir, Azila Abdul-Aziz
Format: Article
Language:English
Published: AIDIC Servizi S.r.l. 2023-12-01
Series:Chemical Engineering Transactions
Online Access:https://www.cetjournal.it/index.php/cet/article/view/14254
_version_ 1797389693043605504
author Kahviyaah Letchumanan
Nor Hayati Abdullah
Mazura Md. Pisar
Hada Masayu Ismail
Roszaini Kadir
Azila Abdul-Aziz
author_facet Kahviyaah Letchumanan
Nor Hayati Abdullah
Mazura Md. Pisar
Hada Masayu Ismail
Roszaini Kadir
Azila Abdul-Aziz
author_sort Kahviyaah Letchumanan
collection DOAJ
description Azadirachta excelsa originates from the Meliaceae family and is often subjected to bioactivity studies due to the presence of various types of compounds such as phenolics, flavonoids and terpenes. Triterpenoid saponins are diverse groups under terpenoids and are secondary metabolites produced by plants for carrying out antagonistic and mutualistic interactions. These compounds are extensively investigated for bioactivities such as anticancer, antimicrobial and pesticidal properties due to their wide range of action mechanism. This study aimed to optimize A. excelsa leaves extraction process using response surface methodology (RSM) for obtaining extract with high extract yield and triterpenoid saponins content. The independent variables selected for the extraction process included temperature, ethanol-to-chloroform ratio, time and sample-to-solvent ratio. The individual and interactional effects of extraction parameters on the yield of extract and triterpenoid saponins content were evaluated using Central composite design (CCD) of RSM. The responses were predicted using second order polynomial model. One-way analysis of variance (ANOVA) revealed correlation coefficients (R2) of developed model for yield of extract and triterpenoid saponins contents were 0.9792 and 0.9509. High F-statistics value and lower p-value (
first_indexed 2024-03-08T22:59:44Z
format Article
id doaj.art-972aecf70012493bb76d0baab1fe0674
institution Directory Open Access Journal
issn 2283-9216
language English
last_indexed 2024-03-08T22:59:44Z
publishDate 2023-12-01
publisher AIDIC Servizi S.r.l.
record_format Article
series Chemical Engineering Transactions
spelling doaj.art-972aecf70012493bb76d0baab1fe06742023-12-15T23:50:15ZengAIDIC Servizi S.r.l.Chemical Engineering Transactions2283-92162023-12-0110610.3303/CET23106194Application of Response Surface Methodology for the Optimization of the Extraction of Triterpenoid Saponins from Azadirachta excelsa LeavesKahviyaah LetchumananNor Hayati AbdullahMazura Md. PisarHada Masayu IsmailRoszaini KadirAzila Abdul-AzizAzadirachta excelsa originates from the Meliaceae family and is often subjected to bioactivity studies due to the presence of various types of compounds such as phenolics, flavonoids and terpenes. Triterpenoid saponins are diverse groups under terpenoids and are secondary metabolites produced by plants for carrying out antagonistic and mutualistic interactions. These compounds are extensively investigated for bioactivities such as anticancer, antimicrobial and pesticidal properties due to their wide range of action mechanism. This study aimed to optimize A. excelsa leaves extraction process using response surface methodology (RSM) for obtaining extract with high extract yield and triterpenoid saponins content. The independent variables selected for the extraction process included temperature, ethanol-to-chloroform ratio, time and sample-to-solvent ratio. The individual and interactional effects of extraction parameters on the yield of extract and triterpenoid saponins content were evaluated using Central composite design (CCD) of RSM. The responses were predicted using second order polynomial model. One-way analysis of variance (ANOVA) revealed correlation coefficients (R2) of developed model for yield of extract and triterpenoid saponins contents were 0.9792 and 0.9509. High F-statistics value and lower p-value (https://www.cetjournal.it/index.php/cet/article/view/14254
spellingShingle Kahviyaah Letchumanan
Nor Hayati Abdullah
Mazura Md. Pisar
Hada Masayu Ismail
Roszaini Kadir
Azila Abdul-Aziz
Application of Response Surface Methodology for the Optimization of the Extraction of Triterpenoid Saponins from Azadirachta excelsa Leaves
Chemical Engineering Transactions
title Application of Response Surface Methodology for the Optimization of the Extraction of Triterpenoid Saponins from Azadirachta excelsa Leaves
title_full Application of Response Surface Methodology for the Optimization of the Extraction of Triterpenoid Saponins from Azadirachta excelsa Leaves
title_fullStr Application of Response Surface Methodology for the Optimization of the Extraction of Triterpenoid Saponins from Azadirachta excelsa Leaves
title_full_unstemmed Application of Response Surface Methodology for the Optimization of the Extraction of Triterpenoid Saponins from Azadirachta excelsa Leaves
title_short Application of Response Surface Methodology for the Optimization of the Extraction of Triterpenoid Saponins from Azadirachta excelsa Leaves
title_sort application of response surface methodology for the optimization of the extraction of triterpenoid saponins from azadirachta excelsa leaves
url https://www.cetjournal.it/index.php/cet/article/view/14254
work_keys_str_mv AT kahviyaahletchumanan applicationofresponsesurfacemethodologyfortheoptimizationoftheextractionoftriterpenoidsaponinsfromazadirachtaexcelsaleaves
AT norhayatiabdullah applicationofresponsesurfacemethodologyfortheoptimizationoftheextractionoftriterpenoidsaponinsfromazadirachtaexcelsaleaves
AT mazuramdpisar applicationofresponsesurfacemethodologyfortheoptimizationoftheextractionoftriterpenoidsaponinsfromazadirachtaexcelsaleaves
AT hadamasayuismail applicationofresponsesurfacemethodologyfortheoptimizationoftheextractionoftriterpenoidsaponinsfromazadirachtaexcelsaleaves
AT roszainikadir applicationofresponsesurfacemethodologyfortheoptimizationoftheextractionoftriterpenoidsaponinsfromazadirachtaexcelsaleaves
AT azilaabdulaziz applicationofresponsesurfacemethodologyfortheoptimizationoftheextractionoftriterpenoidsaponinsfromazadirachtaexcelsaleaves