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

Zakaria F 1 , Tan JK 2 , Mohd Faudzi SM 3 , Abdul Rahman MB 1 , Ashari SE 4

Affiliations 

  • 1 Department of Chemistry, Faculty of Science, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia; Integrated Chemical BioPhysics Research, Faculty of Science, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia
  • 2 Department of Biochemistry, Faculty of Medicine, Universiti Kebangsaan Malaysia, Bandar Tun Razak, 56000 Cheras, Kuala Lumpur, Malaysia
  • 3 Department of Chemistry, Faculty of Science, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia; Natural Medicines and Product Research Laboratory, Institute of Bioscience, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia
  • 4 Department of Chemistry, Faculty of Science, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia; Integrated Chemical BioPhysics Research, Faculty of Science, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia; Centre of Foundation Studies for Agricultural Sciences, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia. Electronic address: ctefliza@upm.edu.my
Ultrason Sonochem, 2021 Dec;81:105851.
PMID: 34864545 DOI: 10.1016/j.ultsonch.2021.105851

Abstract

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 

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.

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