Data collection and capture systems for microbial modeling

Abstract

Microbial modeling experiments require an integrated and efficient design to overcome constraints on time and human resources. The choice of an experimental system is effected by first determining the goals and scope of the model to be constructed. Kinetic studies, for example, require a different approach from single end-point models, such as time to toxin detection or growth probability. Studies have been conducted in liquid broth tubes or batch culture, agar plates, and food matrices. These traditional systems are labor intensive, however, which constrains experimental size, and thus, a model's scope and validity. To maximize experimental size, experimental systems should be automated and linked to electronic data manipulation, analysis, and presentation. Microbial modelers should also consider the relationship between the experimental environmental factors, such as pH, aw, or temperature, and their impact on growth, virulence or toxigenesis determinants. Attaining these goals will increase the probability that the model will accurately predict microbial responses in food systems. © 1993 Society for Industrial Microbiology.