PREDICTIVE MICROBIOLOGY
Course unit partition: Cognomi A-Z

Academic year 2024/25
1° year of course - Second semester
Professor
Valentina BERNINI
Academic discipline
Microbiologia agraria (AGR/16)
Field
Ambito aggregato per crediti di sede
Type of training activity
Caratterizzante
62 hours
of face-to-face activities
6 credits
hub: -
course unit
in ITALIAN

Course unit partition: PREDICTIVE MICROBIOLOGY

Learning objectives

Knowledge and understanding
At the end of the course the student is expected to be able to:
-to know the role of microorganisms in food processing and storage
-to know the role of environmental and process parameters in the development and inactivation of microorganisms
-to know predictive models for the study of the behaviour of microorganisms in food
-to know the potential of predictive tools, experimental designs and challenge tests for the formulation of new products and food processing processes, shelf life prediction, safety assessment, risk analysis and HACCP.
-know the principles underlying the microbiological risk analysis process.
Ability to apply knowledge and understanding
At the end of the course the student is expected to be able to:
-apply predictive models for assessing the behaviour of microorganisms
-choose the most appropriate predictive approach for the analysis of microbial behaviour
-Interpreting data from predictive analyses to assess the impact of the presence and development of microorganisms and/or their metabolites on food quality and safety
-develop simple experimental designs and plan challenge tests to assess the behaviour of microorganisms and/or the production of specific metabolites.

Prerequisites

Basic knowledges of general microbiology and food microbiology, mathematics and statistics.

Course unit content

The first part of the course concerns about the general concepts of predictive microbiology, the applications in food microbilogy area, models characteristics. in the second part knowledges about primary and secondary models are exhamined. In particolar, about primary models are descrive the kinetics of growth and inactivations, Gompertz equativo, baranyi model, Weibull model. In secondary models, ratkowsky model, experimetal design, polinomial equations. The microbiologicla risk analysis step are also addressed. In the last part of the course product and process challenge test are studied, towards practical examples. Moreover, the students will examine cases of applicative researches in predictive microbiology and challenge test field. Group activities are proposed in which students deepen and review issues related to the application of tools of predictive microbiology to the field of microbiological food quality and safety. Laboratory is proposed (2 CFU for 3 groups for a total of 90 hours) concerning the design and execution of microbiological challenge tests.

Full programme

The origins of predictive microbiology, the first models and application fields.
Definitions of primary, secondary and tertiary models. Probabilistic, cinetic, empirical and mechanistic models. Structural and non structural models.
Primary models. Growth modelling (Gompertz equativo, Baranyi model). Survival models (linear, biphasic, Weibull model).
Secondary models. Ratkowsky model. Experimental design. Polynomial equations.
Tertiary model. Use of Combase.
Challenge test: applications to foods and processes.

Bibliography

Fausto Gardini, Eugenio Parente. Manuale di microbiologia predittiva. Concetti e strumenti per l'ecologia microbica quantitativa (suggested/optional). Springer Italia
Educational material used during frontal lessons (necessary) represented by slides. The slides will be available on the course’s Elly page in pdf format for students. The slides will be uploaded to Elly before each topic.

Teaching methods

Lessons will be organized face-to-face. The teaching will be carried out through lectures (4 CFU 28 hours. During the lessons, the appropriate use of technical language will be reiterated, and the links between the various parts of the course will be emphasized.
The course includes laboratory practices (2 CFU, 30 hours for 3 groups for a total of 90 hours) concerning challenge test and detection of microorganisms in food. The teaching materials made available to students will also include those relating to the methods used. In addition, the students, divided into small groups, will have to deal critically with epidemiological cases and present them to the class. Attendance at laboratory lessons is mandatory and the student will be admitted to take the exam if he/she has attended 80% of the scheduled exercises.

Assessment methods and criteria

During the course, some lessons will be dedicated to the evaluation of the learning state through discussion of the results of the in-depth activities carried out in groups. Work on the critical analysis of epidemiological cases, carried out in small groups, will be assessed with a maximum mark of 2, which will be added to the marks obtained in the examination.
At the end of the course will take written exam consisting of part A (10 closed questions) and part B (10 open questions). The questions will also include the topics covered during the laboratory exercises. You will be assigned 1 point for each correct answer related to Part A and up to 2 points for each answer related to Part B. The time available will be 75 minutes. The test will be passed with the achievement of a score of 18.
The student will have to demonstrate, with the scientific language and the specific lexicon of predictive microbiology, the acquired concepts. The assessment of the level of knowledge acquired takes into account the ability of the student to express himself correctly, with the specific scientific language of predictive microbiology.
The assessment of the level of knowledge acquired takes into account the ability of the student to express correctly, with the specific scientific language of food microbiology.

Other information

2030 agenda goals for sustainable development