Nonlinear process modeling of fructosyltransferase (FTase) using bootstrap re-sampling neural network model.
Recently, the increased demand of fructooligosaccharides (FOS) as a functional food has alarmed researchers to screen and identify new strains capable of producing fructosyltransferase (FTase). FTase is the enzyme that converts the substrate (sucrose) to glucose and fructose. The characterization of complex sugar such as table sugar, brown sugar, molasses, etc. will be carried out and the sugar that contained the highest sucrose concentration will be selected as a substrate. Eight species of macro-fungi will be screened for its ability to produce FTase and only one strain with the highest FTase activity will be selected for further studies. In this work, neural networks (NN) have been chosen to model the process based on their excellent 'resume' in coping with nonlinear process. Bootstrap re-sampling method has been utilized in re-sampling the data in this work. This method has successfully modeled the process as shown in the results.
Ahmad
Zainal
Z
School of Chemical Engineering, Engineering Campus University Science Malaysia (USM), Penang, Malaysia. chzahmad@eng.usm.my
Don
Mashitah Mat
MM
Mortan
Siti Hatijah
SH
Noor
Rabiatul Adawiah Mat
RA
D005632:Fructose / Q000737:chemistry*; D005656:Fungal Proteins / Q000737:chemistry; D005658:Fungi / Q000201:enzymology; D006602:Hexosyltransferases / Q000737:chemistry*; D008956:Models, Chemical; D016571:Neural Networks, Computer; D009844:Oligosaccharides / Q000138:chemical synthesis* / Q000737:chemistry; D001426:Bacterial Proteins
D005632:Fructose; D005656:Fungal Proteins; D006602:Hexosyltransferases; D009844:Oligosaccharides; C021451:inulosucrase; D001426:Bacterial Proteins