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MODELING THE THERMAL DEATH OF SALMONELLA TYPHIMURIUM IN CITRUS SYSTEMS
Author(s) -
GABRIEL ALONZO A,
BARRIOS ERNIEL B.,
AZANZA MARIA PATRICIA V
Publication year - 2008
Publication title -
journal of food process engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.507
H-Index - 45
eISSN - 1745-4530
pISSN - 0145-8876
DOI - 10.1111/j.1745-4530.2007.00180.x
Subject(s) - citric acid , titratable acid , food science , chemistry , brix , mathematics , salmonella , d value , biology , sugar , bacteria , genetics
A mathematical model that predicts the decimal reduction time ( D 72C ) of Salmonella Typhimurium (ATTC 13311) as a function of citrus model system (CMS) pH (2.56–4.74), titratable acidity (TA) (0.01–2.76% citric acid) and soluble solids (SS) (4.75–16.85°Brix) was established. The D 72C values of the reference strain in different CMS were fitted into a second order model. Regression analysis of variance and goodness‐of‐fit assessments showed that the model was highly significant ( P < 0.0001). The linear influences of pH and SS and quadratic influences of all physicochemical properties on D 72C were significant ( P < 0.05). The smallest positive D 72C resulted in pH, TA and SS levels of 3.00, 2.20% citric acid and 16.85°Brix, respectively. Direct and inverse relationships were established between D 72C values and pH and D 72C values and at > 0.65% citric acid TA, respectively. Survival rates were optimum at the SS value of 11.50°Brix when pH is 3.00 and TA is 2.20% citric acid.PRACTICAL APPLICATIONS Despite being one of the more effective and cheaper means of food preservation, thermal processing has a limitation of being dependent on intrinsic food properties. Therefore, even similar food products, like fruit juices, but with differing physicochemical properties should be subjected to unique process schedules. As the establishment of specific processes for separate food products can be painstakingly difficult, processors often apply generic thermal processes that result in under‐ or overprocessing and negatively affect food safety and quality. Therefore, this study tried to address this gap by developing a predictive model that can estimate the 72C decimal reduction time ( D 72C ) of Salmonella Typhimurium (ATCC 13311) from the pH, soluble solid (°Brix) and titrable acidity (% citric acid) of citrus juices. Utilization of the model to establish unique thermal processes for specific citrus juices against the pertinent target pathogen is a convenient alternative to the more traditional but rigorous process.