Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.foodres.2008.09.005
Title: Numerical computation of relaxation spectra from mechanical measurements in biopolymers
Authors: Kontogiorgos, V.
Jiang, B.
Kasapis, S. 
Keywords: Gluten
Ill-posed problem
Regularization methods
Relaxation spectrum
Stress relaxation
Issue Date: Jan-2009
Citation: Kontogiorgos, V., Jiang, B., Kasapis, S. (2009-01). Numerical computation of relaxation spectra from mechanical measurements in biopolymers. Food Research International 42 (1) : 130-136. ScholarBank@NUS Repository. https://doi.org/10.1016/j.foodres.2008.09.005
Abstract: In the present investigation, a computational methodology to treat relaxation spectra from mechanical data is developed. To calculate the spectral function that represents the relaxation process of the material, three different regularization algorithms were tested using MATLAB. Two algorithms employ Tikhonov's regularization whereas the third investigative tool is an implementation of the CONTIN algorithm. These efforts improved the ability to look at data hence allowing utilization of the L-curve criterion in order to locate the optimum regularization parameter for accurate data inversion. Algorithms were first evaluated with hypothetical data followed by experimental datasets of hydrated gluten as a model biopolymer system. Essentially, algorithms converge on a specific relaxation spectrum that unveils the molecular features of gluten structure. The methodology described is not limited to mechanical measurements but should be used with any type of exponential decay in studies of relaxation processes. Crown Copyright © 2008.
Source Title: Food Research International
URI: http://scholarbank.nus.edu.sg/handle/10635/76659
ISSN: 09639969
DOI: 10.1016/j.foodres.2008.09.005
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