This study similarly explored the possibility of establishing
predictive models that can be used to estimate the changes in the
nutritive value of heat-treated fruit juices, particularly ascorbic
acid, from common physicochemical properties such as pH and
initial ascorbic acid concentration; and process variables, namely
process temperature and time. The predictive model is meant to be
used alongside the previously validated model for the inactivation
rates of E. coli O157:H7 in simulated fruit juices (Gabriel, 2012). The
predictive model may be used to guide food processors in establishing
thermal process schedules for heat-pasteurized fruit juices
that optimize ascorbic acid retention without compromising safety
from disease causing microorganisms, helping the industry address
the consumer demand paradox for safe food products with optimal
freshness and nutritional benefits. Providing processors with such a
model will also aid them in their ascorbic acid supplementation/
fortification efforts.