We use cookies on our website. Some are necessary for the operation of the website. You can also allow cookies for statistical purposes. You can adjust the data protection settings or agree to all cookies directly.
Data Protection Declaration
Imprint
Authentication of feed - development of a spectral data base
Project
Project code: BfR-SiN-08-1322-727
Contract period: 01.01.2019
- 31.12.2019
Purpose of research: Experimental development
Keywords: feed stuff, analytical detection methods, authenticity testing, adulterants
Feed material is an integral part of the food supply chain. Against the background of various feed incidents, e.g. the dioxin affair 1999 in Belgium, which was caused by the illegal addition of transformer oil to feed material, the need for analytical methods for the authentication of feed becomes obvious. Since especially unknown, possibly harmful substances, which are added illegally, often cannot be detected with classical, targeted methods, alternative analytical concepts need to be developed. Especially in the area of feed material there is still need for development. Therefore the aim of this project is to develop non-targeted analytical methods for the detection of adulterations in feed material. For this purpose vegetable oil was chosen as a demonstrator matrix. Vegetable oils are an important ingredient of feed material. They are mainly used for nutritional purposes (high energy value, supply of essential fatty acids), but also for technological reasons (dust binding in compound feedstuff). From previous and current projects (e.g. FoodAuthent) in the Unit 83 there exists already a lot of knowledge on non-targeted analysis of edible vegetable oils with spectroscopical methods, which can be used as a solid basis in this project. In order to establish a spectral data base different pure vegetable oils which are often used in feed material, as soybean oil, rapeseed oil and palm oil, will be analyzed with spectroscopical methods. In addition, selected potential adulterants (e.g. mineral oil, transformer oil) and by-products (fatty acid distillates) will be analyzed. For these analyses proton nuclear magnetic resonance spectroscopy (1H-NMR), Fourier transform infrared spectroscopy (FTIR) and portable spectroscopic micro devices will be used. By means of multivariate statistical analysis classification models for the detection of adulterations and the deviation of samples from the norm will be developed. After successful method development and validation of the mathematical models standard operating procedures (SOPs) will be established. With regard to the joint usage of the data base, the comparability of different measuring instruments and laboratories will be examined. The established spectral data base can serve as a basis for the development of new anlaytical strategies for the authentication of feed in offical control. This can contribute to clarification and traceability in case of a food crisis and may also be used to prevent crisis situations.
Section overview
Subjects
- Process engineering
- Toxicology
