Abstract
A model for the acidolysis of trinolein and palmitic acid under the catalysis of immobilized sn-1,3 specific lipase was presented in this study. A neural networks (NN) based model was developed for the prediction of the concentrations of the major reaction products of this reaction (1-palmitoyl-2,3-oleoyl-glycerol (POO) 1,3-dipalmitoyl-2-oleoyl-glycerol (POP) and triolein (OOO)). Substrate ratio (SR), reaction temperature (T) and reaction time (t) were used as input parameters. The optimal architecture of the proposed NN model, which consists of one input layer with three inputs, one hidden layer with seven neurons and one output layer with three outputs, wass able to predict the reaction products concentration with a mean square error (MSE) of less than 1.5 and R 2 of 0.999. and explicit formulation of the proposed NN is presented. Considerable good performance is achieved in modeling the acidolysis reaction using neuronal networks.
Highlights
Among the methods used to improve the nutritional and functional properties of fats and oils, enzymatic interesterification has the greatest potential (Goderis et al, 1987)
One of the most popular of these methods is the acidolysis of fats and oils by sn-1,3 specific lipase to produce structured lipids, cocoa butter equivalents, human milk fat substitutes, and so on (Undurraga et al, 2001; Quinlan and Moore, 1993)
Substrate ratio (SR) is the ratio of moles triolein to the moles of palmitic acid
Summary
Among the methods used to improve the nutritional and functional properties of fats and oils, enzymatic interesterification has the greatest potential (Goderis et al, 1987). One of the most popular of these methods is the acidolysis of fats and oils by sn-1,3 specific lipase to produce structured lipids, cocoa butter equivalents, human milk fat substitutes, and so on (Undurraga et al, 2001; Quinlan and Moore, 1993). These kinds of lipids are produced by the incorporation of specific fatty acids to specific positions on the triacylglycerols or glycerides (Xu, 2003). Temperature and time are the major parameters that must be controlled (Willis and Marangoni, 2002) These kind of biological systems are generally complex and it is difficult to estimate the results under any given condition. The relationship of parameters in biological systems is generally nonlinear (Braake et al, 1998)
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
