FSSP

FSSP predicts the growth and survival of Listeria monocytogenes and the inhibitory effects of lactic acid bacteria to assess and manage microbial risks in foods across varying storage conditions and product characteristics.

Key Features:

• Predictive Modeling: Employs validated mathematical models to predict combined effects of storage conditions and product characteristics on microbial behavior.
• Extensive Growth Model: Implements an extensive growth model that accounts for 12 environmental factors affecting Listeria monocytogenes.
• Growth Boundary Model: Includes a growth boundary model that delineates limits of microbial proliferation under varying conditions.
• Dampening Effects Modeling: Models the growth-dampening effects of lactic acid bacteria on Listeria monocytogenes.
• Data Integration: Integrates data on storage parameters and product characteristics to inform model predictions.

Scientific Applications:

• Safety Assessment: Predicts microbial behavior under different conditions to aid documentation and assurance of food safety.
• Recipe Development: Supports development or reformulation of food products by providing insights into safe ingredient combinations and storage practices.
• Risk Management: Enables management of microbial risks to reduce the likelihood of spoilage and contamination.

Methodology:

FSSP employs validated mathematical models and extensive mathematical modeling to simulate the growth dynamics of Listeria monocytogenes, including a growth boundary model and modeling of lactic acid bacteria dampening effects, by integrating data on storage parameters and product characteristics and accounting for 12 environmental factors.