Please use this identifier to cite or link to this item:
|Title:||Numerical computation of relaxation spectra from mechanical measurements in biopolymers|
|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|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Jul 13, 2018
WEB OF SCIENCETM
checked on Jul 4, 2018
checked on Jun 15, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.