Method of separate analysis of time dependent and time independent mechanical response of viscoelastic biological materials: Applications on diagnosis of keratin disorders

Abstract

In this doctoral thesis an analytical model and a computerized experimental system, are presented by means of which, the separate analysis of time-dependent and time-independent components of viscoelastic biological materials can be performed. This is done through a continuous succession of uniaxial stretching steps, each of which is characterized by an almost instantaneous strain of 1% and a relatively long relaxation phase. This procedure permits the sectional linearization of the non-linear viscoelastic behaviour and the separate estimation of the viscous and elastic response in each step. The sum of these responses determines the curves which depends on the structure of the time dependent and time independent components. New mechanical parameters can be delined and estimated from these data characterizing the structural substratum. This method applies to keratin of human hair and using these parameters the influence of aging androgenetic alopecia psoriasis kinky and trichothiodystr ...
show more

All items in National Archive of Phd theses are protected by copyright.

DOI
10.12681/eadd/1910
Handle URL
http://hdl.handle.net/10442/hedi/1910
ND
1910
Alternative title
Μέθοδος διακεκριμένης ανάλυσης της χρονικά εξαρτώμενης και χρονικά ανεξάρτητης μηχανικής απόκρισης των ιξωδοελαστικών βιολογικών υλικών: Εφαρμογές στη διάγνωση των διαταραχών της κερατινοποίησης
Author
Balas, Costas (Father's name: J.)
Date
1991
Degree Grantor
University of Patras
Committee members
Νικηφορίδης Γεώργιος
Σιατίτσας Ιωάννης
Τσαμπάος Διονύσιος
Πρώϊμος Βασίλειος
Δάσιος Γεώργιος
Discipline
Medical and Health SciencesHealth Sciences
Medical and Health SciencesMedical Biotechnology
Keywords
Biological materials; Computerized system for micromechanical analysis; Human hair; Keratin; Viscoelasticity
Country
Greece
Language
Greek
Description
181 σ.
Usage statistics
VIEWS
Concern the unique Ph.D. Thesis' views for the period 07/2018 - 07/2023.
Source: Google Analytics.
ONLINE READER
Concern the online reader's opening for the period 07/2018 - 07/2023.
Source: Google Analytics.
DOWNLOADS
Concern all downloads of this Ph.D. Thesis' digital file.
Source: National Archive of Ph.D. Theses.
USERS
Concern all registered users of National Archive of Ph.D. Theses who have interacted with this Ph.D. Thesis. Mostly, it concerns downloads.
Source: National Archive of Ph.D. Theses.
Related items (based on users' visits)