Dg. Duguay et al., DEVELOPMENT OF A MATHEMATICAL-MODEL DESCRIBING THE ENZYMATIC DEGRADATION OF BIOMEDICAL POLYURETHANES .1. BACKGROUND, RATIONALE AND MODEL FORMULATION, Polymer degradation and stability, 47(2), 1995, pp. 229-249
Of the various polymers used in medical devices, polyurethanes have be
en relatively successful due to their acceptable mechanical and biolog
ical properties. However, concerns have arisen in recent years regardi
ng the biostability of polyurethanes when exposed to the harsh environ
ment of the human body. Lysosomal enzymes released from inflammatory c
ells have been proposed as important mediators in the degradation of b
iomedical polyurethanes. If polyurethanes are to be developed which re
sist the rigors of implantation, a clear understanding of the degradat
ive processes will be required. Unfortunately, the exact mechanism of
enzymatic degradation of polyurethanes remains poorly defined. Consequ
ently, a computer model was proposed as a tool for elucidating, simula
ting and distinguishing between a variety of mechanisms of degradation
. Although the enzymatic environment at the site of an in-vivo implant
is very complex, the model was first developed to represent the in-vi
tro degradation of a poly(ester-urea-urethane) by a single hydrolytic
enzyme, cholesterol esterase. The processes of polyurethane surface dy
namics, enzyme adsorption and inactivation, solvolytic and enzymatic d
egradation of the polyurethane, and degradation of products in solutio
n were all described by the model. Possible breakdown products were al
so proposed. Parameter values and starting conditions were estimated f
rom existing literature and the model was solved for various condition
s which were considered experimentally relevant. Factors such as the r
ate of enzyme inactivation, the susceptibility of specific polyurethan
e bonds, the rates of in-solution degradation and the mobility of the
polyurethane surface all had a marked effect on the extent of degradat
ion and the type and amount of breakdown products in solution. Model d
evelopment and preliminary simulations are presented.