News from the National Food Institute

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2019
Image: Colourbox.dk
06 NOV

A 360º view of the effects of foods

By exploring both the beneficial and the harmful health-related properties in foods, consumers and authorities become better equipped to predict the health effects of individual...

Food, fish and agriculture Nutrition and dietary habits Food safety Mathematical modelling Health and diseases
2018
Photo: Royal Greenland
14 MAY

Maths is a main ingredient in salt-reduced fish products

Mathematical models from the National Food Institute have been used to develop the recipes for a new range of fish products that contain less salt and more taste.

Food, fish and agriculture Food production Food safety Mathematical modelling
2016
Photo: Colourbox.dk
15 SEP

Prize for predicting chemicals’ harmful effects without animal testing

Computer models developed at the National Food Institute, Technical University of Denmark, can predict many of the harmful effects caused by different chemical substances...

Mathematical modelling Food, fish and agriculture
Photo: Colourbox
20 JAN

Weight-loss supplements containing raspberry ketone may be harmful

If your trousers are feeling a little too tight post-Christmas and a weight-loss supplement seems tempting in an attempt to shed the extra weight, researchers from the...

Food, fish and agriculture Nutrition and dietary habits Food safety Computer calculations Mathematical modelling Health and diseases
2015
Copyright: DTU Fødevareinstituttet
17 SEP

Research leads to better predictions of cocktail effects

In order to protect people from chemicals’ harmful effects it is not sufficient to carry out risk assessments one by one of the chemicals people are exposed to every...

Food safety Mathematical modelling
Photo: Colourbox.com
02 FEB

Predicting the shelf-life of cottage cheese

New mathematical models that predict the growth of listeria and lactic acid bacteria in different types of cottage cheese can be used by producers to determine the shelf...

Food safety Food production Mathematical modelling Bacteria and microorganisms
2014
Photo: Mikkel Adsbøl
12 NOV

The real disease burden of foodborne infections

Campylobacter is the foodborne bacteria that contributes most to the burden of disease in Denmark. This is the finding of a study from the National Food Institute, Technical...

Food safety Bacteria and microorganisms Mathematical modelling Health and diseases
Photo: National Food Institute, Technical University of Denmark
25 SEP

PhD defence on new tools for risk assessment in dairy products

The National Food Institute, Technical University of Denmark, invites you to Nina Bjerre Østergaard’s PhD defence on new tools for risk assessment and dairy...

Food safety Mathematical modelling
Photo: National Food Institute, Technical University of Denmark
22 JAN

Better data for risk assessment

It is difficult and expensive to collect the type of data on which food producers and public authorities base their risk assessment of foods. A PhD project at the National...

Food safety Biotechnology and biochemistry Mathematical modelling
2013
Photo: National Food Institute, Technical University of Denmark
07 NOV

Improved baking processes via mathematic modelling

A new pilot oven has been especially built to mimic baking processes in the bakery industry. The oven was built as part of a PhD project at the National Food Institute...

Food quality Food technology Food, fish and agriculture Food production Mathematical modelling
02 AUG

PhD Defence on the optimisation of industrial baking processes

The National Food Institute, Technical University of Denmark invites to Mette Stenby Andresen’s PhD defence on a new mathematical model for optimizing industrial...

Food technology Food, fish and agriculture Food production Mathematical modelling

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News from the National Food Institute

https://www.food.dtu.dk/english/news?qt=NewsQuery&at=%7B559A7F23-40D3-470C-8825-436C20C291CF%7D.%7B6AA222C7-E0CB-4AC7-B8B7-6BC91628AEAB%7D.%7BCF0DE65A-D6A8-4FF0-9BD9-C5A0DFB217D8%7D&fr=1&lid=377b782b-bc88-4fcc-aa84-741dac5f59c8
17 FEBRUARY 2020