2019
DOI: 10.1007/s11694-019-00198-1
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Optimization of bioactive compounds extraction assisted by microwave parameters from Kappaphycus alvarezii using RSM and ANFIS modeling

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Cited by 28 publications
(13 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%
“…The oven temperature was initially set at 60 C, then raised at a rate of 5 C/min to 200 C, accompanied by a final rise to 280 C. The scan was done with a m/z range of 50-650. The mass spectrometer was set to 70 eV, and the NIST library was used to identify mass fragmentation trends of individual phytochemical compounds [18].…”
Section: Gas Chromatography-mass Spectrometry For Phytochemical Analysismentioning
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%