Gradients methods for simultaneous optimizations: case studies for food systems
DOI:
https://doi.org/10.5433/1679-0359.2005v26n3p353Keywords:
Multiresponse optimization, Gradient method, Derringer & Suich´s functions.Abstract
The objective of this work was to develop a software with efficient gradient methods for foods systems multiresponse optimization using the Derringer & Suich function, including a 4th order polynomial equation to remove non-differentiable points in that function. The software was tested in three food systems selected in specialized literature: 1) inactivated lipoxygenase and lipase and preserve phytase activity in barley during soaking; 2) simultaneous optimization of response in protein mixture formulation; 3) simultaneous optimization of parameters used in roasting process of corn germ to be used as an ingredient in foods. The program that was developed has show itself to be efficient and trustworthy for the optimization of multiresponse.
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