title: Optimization of microwave-assisted extraction of total extract, stevioside and rebaudioside-A from Stevia rebaudiana (Bertoni) leaves, using response surface methodology (RSM) and artificial neural network (ANN) modelling.
abstract: Stevia rebaudiana (Bertoni) consists of stevioside and rebaudioside-A (Reb-A). We compared response surface methodology (RSM) and artificial neural network (ANN) modelling for their estimation and predictive capabilities in building effective models with maximum responses. A 5-level 3-factor central composite design was used to optimize microwave-assisted extraction (MAE) to obtain maximum yield of target responses as a function of extraction time (X1: 1-5min), ethanol concentration, (X2: 0-100%) and microwave power (X3: 40-200W). Maximum values of the three output parameters: 7.67% total extract yield, 19.58mg/g stevioside yield, and 15.3mg/g Reb-A yield, were obtained under optimum extraction conditions of 4min X1, 75% X2, and 160W X3. The ANN model demonstrated higher efficiency than did the RSM model. Hence, RSM can demonstrate interaction effects of inherent MAE parameters on target responses, whereas ANN can reliably model the MAE process with better predictive and estimation capabilities.
authors.affiliation: School of Food Science & Biotechnology, Kyungpook National University, Daegu 41566 Republic of Korea.
authors.forename: Kashif
authors.initials: K
authors.lastname: Ameer
authors.affiliation: School of Food Science & Biotechnology, Kyungpook National University, Daegu 41566 Republic of Korea; Daepyung, Sangju-si, Gyeongsangbuk-do 37112 Republic of Korea.
authors.forename: Seong-Woo
authors.initials: SW
authors.lastname: Bae
authors.affiliation: School of Food Science & Biotechnology, Kyungpook National University, Daegu 41566 Republic of Korea.
authors.forename: Yunhee
authors.initials: Y
authors.lastname: Jo
authors.affiliation: School of Food Science & Biotechnology, Kyungpook National University, Daegu 41566 Republic of Korea.
authors.forename: Hyun-Gyu
authors.initials: HG
authors.lastname: Lee
authors.affiliation: Department of Computer Science & Information Technology, University of Sargodha, Lyallpur Campus, Faisalabad 1004, Pakistan.
authors.forename: Asif
authors.initials: A
authors.lastname: Ameer
authors.affiliation: School of Food Science & Biotechnology, Kyungpook National University, Daegu 41566 Republic of Korea. Electronic address: jhkwon@knu.ac.kr.
authors.forename: Joong-Ho
authors.initials: JH
authors.lastname: Kwon
mesh_terms: D045786:Diterpenes, Kaurane / Q000737:chemistry*; D005960:Glucosides / Q000737:chemistry*; D006027:Glycosides / Q000737:chemistry*; D008872:Microwaves; D016571:Neural Networks, Computer; D018515:Plant Leaves / Q000737:chemistry*; D036625:Stevia / Q000737:chemistry*
chemical_list: D045786:Diterpenes, Kaurane; D005960:Glucosides; D006027:Glycosides; C012043:stevioside
keywords: ANN; Glycosides; Microwave-assisted extraction; Optimization; RSM; Stevia rebaudiana