This course aims to develop a wider understanding of food microbiology in the factory environment. The course provides up-to-date information on both established and emerging food pathogens, as well as a variety of spoilage microorganisms. Practical demonstrations will show a selection of both traditional and rapid methods for detection and enumeration of microorganisms.
This course is designed to assess the underpinning knowledge of delegates for understanding the principles of product development and labelling in food and drink. The course provides up-to-date information on market research methods and offers the chance to investigate the development process at various stages. Current information will also be provided on labelling legislation as well as a range of practical examples embedded within the course.
This course aims to develop a wider understanding of food allergens and control in the factory environment. The course offers and understanding of why food allergen awareness and control is required, the importance of controlling food allergy risks and intolerances as well as how to provide food allergen information.
This course aims to provide an understanding of the principles of sensory evaluation practices including an introduction to human senses and how they are used in sensory evaluation and looking at the key physiological and psychological factors involved in perception and the importance of flavour in foods. This is ideal for individuals who assess food products and would benefit from more knowledge.
The course aims to provide with an understanding of the principles of good sensory practice, including the importance of being objective, selection, and training of taste panellists, and a review of sensory methodologies to aid them in selecting the most appropriate method to use in the workplace.
This course introduces the basic techniques of signal-based condition monitoring and their application to automatic fault diagnosis and identification, and predictive maintenance across a range of applications.
This course focuses on the most effective Condition Monitoring techniques based on signal analysis. These techniques allow: early detection of common damages (e.g., gearboxes, bearings, tool damage detection etc.); reduction of unexpected deadlock times; high system availability; and maintenance only if necessary.