Ultrasound-assisted extraction conditions optimisation using response surface methodology from Mitragyna speciosa (Korth.) Havil leaves

The optimisation of the Ultrasound-Assisted Extraction (UAE) method was investigated by employing the Central Composite Rotatable Design (CCRD) of Response Surface Methodology (RSM). The UAE method was based on a simple ultrasound treatment using methanol as the extraction medium to facilitate the c...

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Autores principales: Fazila Zakaria, Jen-Kit Tan, Siti Munirah Mohd Faudzi, Mohd Basyaruddin Abdul Rahman, Siti Efliza Ashari
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Publicado: Elsevier 2021
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spelling oai:doaj.org-article:4041d86c3c0d4eaca62234ce05d6aa372021-12-04T04:33:22ZUltrasound-assisted extraction conditions optimisation using response surface methodology from Mitragyna speciosa (Korth.) Havil leaves1350-417710.1016/j.ultsonch.2021.105851https://doaj.org/article/4041d86c3c0d4eaca62234ce05d6aa372021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S135041772100393Xhttps://doaj.org/toc/1350-4177The optimisation of the Ultrasound-Assisted Extraction (UAE) method was investigated by employing the Central Composite Rotatable Design (CCRD) of Response Surface Methodology (RSM). The UAE method was based on a simple ultrasound treatment using methanol as the extraction medium to facilitate the cell disruption of Mitragyna speciosa leaves for optimum extraction yield and Total Phenolic Content (TPC). Three different parameters comprising extraction temperature (X1: 25–50 °C), sonication time (X2: 15–50 min), and solvent to solid ratio (X3: 10–30 mL/g), and were selected as the independent variables, while two response variables were selected, namely extraction yield (Y1) and TPC (Y2). Based on the results, the developed quadratic polynomial model correlated with the experimental data is based on the coefficient of determination (R2) of extraction yield (0.9972, p < 0.0001) and TPC (0.9553, p < 0.0001). At 25 °C, 15 min sonication time, and 10 mL/g of solvent to solid ratio, the optimal conditions recorded an extraction yield and TPC of 22.69% and 143.51 mg gallic acid equivalent (GAE)/g, respectively. Furthermore, the actual response and the predicted values of the developed models correlated with each other as the Residual Standard Error (RSE) values were <5%. Meanwhile, the Liquid Chromatography- tandem Mass Spectrometry (LC-MS/MS) was employed to characterise the optimised M. speciosa extract and revealed the presence of major phytochemicals, including catechin, rutin, kaempferol, coumarin, gallic acid, chlorogenic acid, and caffeic acid. These compounds could exhibit certain therapeutic effects, such as anti-inflammatory, antibacterial, and antioxidant. Therefore, the findings in this study supported the suggestion that the various available bioactive compounds besides alkaloids contributed to the bioactive properties in M. speciosa, making it an effective traditional herbal medicine to treat various illnesses.Fazila ZakariaJen-Kit TanSiti Munirah Mohd FaudziMohd Basyaruddin Abdul RahmanSiti Efliza AshariElsevierarticleMitragyna SpeciosaResponse surface methodologyUltrasound-assisted extractionExtraction yieldTotal phenolic contentPhytochemical compoundChemistryQD1-999Acoustics. SoundQC221-246ENUltrasonics Sonochemistry, Vol 81, Iss , Pp 105851- (2021)
institution DOAJ
collection DOAJ
language EN
topic Mitragyna Speciosa
Response surface methodology
Ultrasound-assisted extraction
Extraction yield
Total phenolic content
Phytochemical compound
Chemistry
QD1-999
Acoustics. Sound
QC221-246
spellingShingle Mitragyna Speciosa
Response surface methodology
Ultrasound-assisted extraction
Extraction yield
Total phenolic content
Phytochemical compound
Chemistry
QD1-999
Acoustics. Sound
QC221-246
Fazila Zakaria
Jen-Kit Tan
Siti Munirah Mohd Faudzi
Mohd Basyaruddin Abdul Rahman
Siti Efliza Ashari
Ultrasound-assisted extraction conditions optimisation using response surface methodology from Mitragyna speciosa (Korth.) Havil leaves
description The optimisation of the Ultrasound-Assisted Extraction (UAE) method was investigated by employing the Central Composite Rotatable Design (CCRD) of Response Surface Methodology (RSM). The UAE method was based on a simple ultrasound treatment using methanol as the extraction medium to facilitate the cell disruption of Mitragyna speciosa leaves for optimum extraction yield and Total Phenolic Content (TPC). Three different parameters comprising extraction temperature (X1: 25–50 °C), sonication time (X2: 15–50 min), and solvent to solid ratio (X3: 10–30 mL/g), and were selected as the independent variables, while two response variables were selected, namely extraction yield (Y1) and TPC (Y2). Based on the results, the developed quadratic polynomial model correlated with the experimental data is based on the coefficient of determination (R2) of extraction yield (0.9972, p < 0.0001) and TPC (0.9553, p < 0.0001). At 25 °C, 15 min sonication time, and 10 mL/g of solvent to solid ratio, the optimal conditions recorded an extraction yield and TPC of 22.69% and 143.51 mg gallic acid equivalent (GAE)/g, respectively. Furthermore, the actual response and the predicted values of the developed models correlated with each other as the Residual Standard Error (RSE) values were <5%. Meanwhile, the Liquid Chromatography- tandem Mass Spectrometry (LC-MS/MS) was employed to characterise the optimised M. speciosa extract and revealed the presence of major phytochemicals, including catechin, rutin, kaempferol, coumarin, gallic acid, chlorogenic acid, and caffeic acid. These compounds could exhibit certain therapeutic effects, such as anti-inflammatory, antibacterial, and antioxidant. Therefore, the findings in this study supported the suggestion that the various available bioactive compounds besides alkaloids contributed to the bioactive properties in M. speciosa, making it an effective traditional herbal medicine to treat various illnesses.
format article
author Fazila Zakaria
Jen-Kit Tan
Siti Munirah Mohd Faudzi
Mohd Basyaruddin Abdul Rahman
Siti Efliza Ashari
author_facet Fazila Zakaria
Jen-Kit Tan
Siti Munirah Mohd Faudzi
Mohd Basyaruddin Abdul Rahman
Siti Efliza Ashari
author_sort Fazila Zakaria
title Ultrasound-assisted extraction conditions optimisation using response surface methodology from Mitragyna speciosa (Korth.) Havil leaves
title_short Ultrasound-assisted extraction conditions optimisation using response surface methodology from Mitragyna speciosa (Korth.) Havil leaves
title_full Ultrasound-assisted extraction conditions optimisation using response surface methodology from Mitragyna speciosa (Korth.) Havil leaves
title_fullStr Ultrasound-assisted extraction conditions optimisation using response surface methodology from Mitragyna speciosa (Korth.) Havil leaves
title_full_unstemmed Ultrasound-assisted extraction conditions optimisation using response surface methodology from Mitragyna speciosa (Korth.) Havil leaves
title_sort ultrasound-assisted extraction conditions optimisation using response surface methodology from mitragyna speciosa (korth.) havil leaves
publisher Elsevier
publishDate 2021
url https://doaj.org/article/4041d86c3c0d4eaca62234ce05d6aa37
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AT sitimunirahmohdfaudzi ultrasoundassistedextractionconditionsoptimisationusingresponsesurfacemethodologyfrommitragynaspeciosakorthhavilleaves
AT mohdbasyaruddinabdulrahman ultrasoundassistedextractionconditionsoptimisationusingresponsesurfacemethodologyfrommitragynaspeciosakorthhavilleaves
AT sitieflizaashari ultrasoundassistedextractionconditionsoptimisationusingresponsesurfacemethodologyfrommitragynaspeciosakorthhavilleaves
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