Abstract
Cellulose is a bioorganic polymer formed from condensation polymerization of glucose. This
biopolymer is used in several industrial and biomedical applications such as scaffold in tissue
engineering. The objective of this work is to determine the pattern of cellulose degradation and
its mode of scission in subcritical and supercritical water. One feasible way of approaching this
task is modeling cellulose chain degradation based on different modes of scission, and
simultaneously simulate the molecular weight distribution of the degraded chains. Cellulose was
scission in the hydrothermal system at different temperature and residence time while the
simulation was conducted using exact algebraic statistical formulations as the governing
equations for the different modes of cellulose glycosidic bonds scission. MATLAB was used as
the computational platform for the simulation and size exclusion chromatography was used to
generate the molecular weight distribution for the degraded cellulose chains in subcritical and
supercritical water. The modeled molecular weight distribution was used to fingerprint the
molecular weight distribution generated from experimentally degraded cellulose chains at the
subcritical and supercritical conditions of water. It is observed that none of the molecular weight
distributions obtained based on the different modes of scission was able to fingerprint the
corresponding MW distributions obtained from the experiment. The study shows that cellulose
bond scission follow a random pattern when degraded in a hydrothermal system.