Traditional and innovative analytics for the agri-food sector
(objectives)
The course will be aimed to explore the themes concerning the methods for the analysis related to the agro-food productions, particularly fresh and transformed fruits and vegetables. This approach will be allowed by refreshing chemical and physical principles and by the definition of traditional and new analytical devices and applications. Innovative technologies based on sensor application will be described, while related chemometric principles and multivariate modeling will be defined. The arguments of the lectures will be treated through the theory and, where possible, the laboratory practice and the study of scientific literature by examining specific case studies. Based on the suggestions included within the 'Dublin descriptors', the acquired knowledges, the understanding aptitudes and the capacity to apply them, together with the ability in making judgements and the communication skills of the students will be continuously tested along the didactic activities of the course, even by the so-called 'flipped learning' technique. At the end, with respect to the examination procedures, the same students' skills and performances will be solicited and verified through the exposition of autonomous scientific presentations they will be able to arrange on the topics and arguments of the course. During the course and at the end of it, the student will acquire: 1) knowledge and understanding; 2) applying knowledge and understanding; 3) making judgements; 4) communication skills; 5) communication skills
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Code
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119310 |
Language
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ITA |
Type of certificate
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Profit certificate
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Credits
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6
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Scientific Disciplinary Sector Code
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AGR/15
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Contact Hours
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48
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Type of Activity
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Core compulsory activities
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Teacher
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BELLINCONTRO Andrea
(syllabus)
FIRST PART: Physical-chemical principles and traditional methods for analyses aimed to evaluate qualitative and compositional attributes in fresh and transformed agro-food crops. With special regard methods and techniques related to grape and wine, olives and olive oil, and dried fruit will be treated. SECOND PART: Description of innovative technologies and non-destructive sensors for analytical determinations in-field, in laboratory and along the production chain of agro-food crops. Study of methods based on spectral techniques, sensors for e-noses and e-tongues, vision systems and devices working on the principle of fluorescence. Particularly, applications destined to grape and wine, olives and olive oil, and dried fruit will be presented and studied. THIRD PART: Approach to chemometric and multivariate statistical principles finalized to modeling related to sensor applications. Introduction to the cluster analysis and pattern recognition methods for discriminant evaluations; first approach to the multiple regression methods for calibration and prediction models assessment in relation to the most significant analytical parameters of the studied agro-food crops.
(reference books)
- Portions or sections of different books suggested by the teacher; - Powerpoint presentations, movies and lecture notes; - Scientific publications and reviews, technical-scientific seminars and workshops.
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Dates of beginning and end of teaching activities
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From 28/02/2022 to 10/06/2022 |
Delivery mode
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Traditional
At a distance
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Attendance
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not mandatory
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Evaluation methods
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Written test
Oral exam
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