2017
DOI: 10.1007/s11694-017-9634-y
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Optimization and analysis of microwave-assisted extraction of bioactive compounds from Mimosa pudica L. using RSM & ANFIS modeling

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Cited by 44 publications
(17 citation statements)
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“…In the literature, there are two types of mathematical models dedicated to microwave extraction: theoretical models based on chemical engineering principles about solid–liquid diffusion [ 39 , 40 , 41 , 42 ] and empirical statistical models based mostly on Response Surface Methodology (RSM) [ 17 , 31 , 43 , 44 , 45 ] but also on Adaptive Neuro-Fuzzy Inference System (ANFIS) statistical methodology [ 46 , 47 ].…”
Section: Discussionmentioning
confidence: 99%
“…In the literature, there are two types of mathematical models dedicated to microwave extraction: theoretical models based on chemical engineering principles about solid–liquid diffusion [ 39 , 40 , 41 , 42 ] and empirical statistical models based mostly on Response Surface Methodology (RSM) [ 17 , 31 , 43 , 44 , 45 ] but also on Adaptive Neuro-Fuzzy Inference System (ANFIS) statistical methodology [ 46 , 47 ].…”
Section: Discussionmentioning
confidence: 99%
“…Vacuum-microwave-assisted extraction is a typical paradigm of a solid–liquid extraction and many researchers have developed models for the prediction of the concentration or alternatively of the amount of the extracted bioactive compounds. In general, there are two types of mathematical models dedicated to microwave extraction: theoretical models based on chemical engineering principles of solid–liquid diffusion [ 52 , 53 , 54 , 55 ] and empirical statistical models based mostly on response surface methodology (RSM) [ 56 , 57 , 58 , 59 , 60 ] but also on adaptive neuro-fuzzy inference system (ANFIS) statistical methodology [ 61 , 62 ]. From the abovementioned models, the theoretical ones are not very useful in the case we need to obtain the optimum conditions for industrial-scale optimization of the VMAE extraction of bioactive phytochemicals.…”
Section: Discussionmentioning
confidence: 99%
“…This tool describes the interactional effects between a set of data and can be used to generate models for the prediction of the responses [ 25 ]. Previous RSM-based optimization of M. pudica extraction methods used methanol as the sole solvent while incorporating microwave-assisted extraction to obtain maximum antioxidative compounds [ 26 ]. Although the results seemed promising, other solvents, such as ethanol, have yet to be tuned using the same optimization method.…”
Section: Introductionmentioning
confidence: 99%