Welcome to SMARTDETECT Project
Today consumers take food safety as one of the main criteria when choosing food products in their daily shopping. In a highly competitive environment it is a great advantage for a food production company when it can secure delivery of safe food products of the highest quality to its customers.
There is great amount of work behind this quality and high food safety standards to be assured. One of the essential steps is laboratory control of the products during the whole cycle of production.
Nowadays, laboratory methods of control of the food quality and safety, although advanced, can be bulky and time-consuming, requiring special training and long sample preparation steps.
In SMARTDETECT project we believe that with the current level of technological achievements in nanotechnology and microbiology, it is possible to develop a rapid yet secure, mobile and flexible method to detect harmful bacteria in food.
A group of researchers from the Technical University of Denmark in cooperation with professionals from the industry are now working on a tool that will be able to detect pathogens in a faster and easier way than any currently available tools on the market. This will make it possible to increase food safety immensely, and to responsibly provide your customers with quality products, thus reducing production time and costs!
On this site you can find information about the project and project partners, and follow the project in progress of development of the product. This homepage is dedicated to inform professionals working within food production industry and food safety control, laboratory technicians, farmers and other stakeholders about the development of the SMARTDETECT – a portable system for rapid nucleic acid based detection of pathogens. It will also be interesting for you, if you are keen on high technology, care about safety of the food you eat, and want to stay updated about the latest advancements within the microbiological food safety control.
This project is supported by a grant of 11,8 mio. DKK from the Danish National Advanced Technology Foundation (Grant No. 118-2012-3).
See also project overview