WORKSHOPS

Keywords

chemometrics, food analysis, statistical techniques, software

Concerning the fact that even the simplest food is a complex matrix, the way to investigate its chemistry cannot be other than multivariate. Therefore, chemometrics is a necessary and powerful tool in the field of food analysis and control. Development of efficient and reliable analytical method requires chemometric approach at several levels starting with application of experimental design and optimization techniques for the separation step, followed by data acquisition, and signal manipulation, and finally solving classification and modelling problem, clustering and correlation. Several problems in food analysis which could be solved by chemometrics are traceability (the possibility of verifying the animal/botanical, geographical and/or productive origin of a foodstuff), connection of consumer preferences and sensory attributes with molecular profiling of food, process control and monitoring, etc. This workshop aims to point out to the main chemometrics techniques and their application to different aspects of food science in order to fulfil the knowledge of both, food chemists wanting to learn how these techniques can help in many aspects of their work and chemometricians having to deal with food-related problems. Numerous classification and regression methods such as principal component analysis, hierarchical cluster analysis, linear discriminant analysis, partial least square discriminant analysis, k-nearest neighbours, artificial neural networks, partial least square regression, etc, will be discussed through defining a methodology and practical application of different statistical software such as Statistica, SPSS, NCSS, Matlab, etc.

Acknowledgment: This work has been supported by the Ministry of Education, Science and Technological Development of Republic of Serbia, Contract number: 451-03-9/2021-14/200168

This session will cover both theoretical and practical basis of bioinformatics approaches in nutrition research through nutrigenomics, metagenomics and plant genomics aspects.

Metagenomics approaches have wide-range application in personalized nutrition, functional food development and food safety. Plant genomics researches related to nutrition are mostly directed to optimizing utilization of available plant food, improving plant quality and creating novel plant-based food. Bioinformatics tools are widely used in the nutrition science such as in the detection of toxins, pathogens and food allergens, relation between diet and intestinal microbiota and improvement in plant breeding, food safety and security and designing novel food.

Together we will learn about NGS technology advantages, big data formats in biology and useful databases for nutrigenomics, metagenomics and plant genomics studies.

The purpose of the workshop is to stimulate teachers’, researchers’ and students’ ability to initiate and carry out entrepreneurial projects, ranging from opportunity recognition to opportunity exploitation. Participants will have the opportunity to upgrade their knowledge through utilization of tools available at BOSS platform.