Scientific publications
1002 Results
- Lefevre, A. , Daems, F. , Focant, M. , Peeters, J. , Ninane, V. , Larondelle, Y. & Froidmont, E. (2019). The effect of commonly used dairy processing techniques and unit operations on the equol content of dairy products. Int. Dairy J. 93: 30-34.
- Eylenbosch, D. , Baeten, V. , Bodson, B. & Fernandez, J.A. (2019). Perspectives offertes par l'imagerie hyperspectrale proche infrarouge dans l'étude de systèmes racinaires de légumineuses. Innovations Agronomiques, 74: 25-37.
- Soyeurt, H. , Dehareng, F. , Mc Parland, S. , Camels, M. , Gengler, N. & Grelet, C. (2019). Large scale dataset to improve and validate the prediction of lactoferrin content using milk mid-infrared spectrometry. Poster in: ICAR Conference, Prague (République Tchèque), 17-21 Juin 2019.
- Lecrenier, M.C. , Veys, P. , Fumière, O. , Marien, A. , Hulin, J. , Berben, G. & Baeten, V. (2019). Relaxation of the animal by-products feedban ? Analytical challenges and foreseen solutions to ensure high level of feed safety. Poster in: Recent Advances in Food Analysis, Prague-Czech Republic, 05-08 November 2019.
- Marien, A. , Fumière, O. , Debode, F. , Hulin, J. & Berben, G. (2019). The Horse Meat Scandal - The European Analytical Response In: DNA Techniques to Verify Food Authenticity: Applications in Food Fraud, Burns Malcolm, Foster Lucy and Walker Michael. 177-188.
- Sendin, K. , Manley, M. , Baeten, V. , Fernandez Pierna, J.A. & Williams, P.J. (2019). Near Infrared Hyperspectral Imaging for White Maize Classification According to Grading Regulations. Food Analytical Methods, 12: 1612-1624.
- Belghit, I. , Lock, E.J. , Fumière, O. , Lecrenier, M.C. , Renard, P. , Dieu, M. , Berntssen, M.H.G. , Palmblad, M. & Rasinger, J.D. (2019). Species-Specific Discrimination of Insect Meals for Aquafeeds by Direct Comparison of Tandem Mass Spectra. animals, 9: (222),
- Chamberland, N. , Vermeulen, P. , Lecler, B. , Minet, O. , Decruyenaere, V. , Froidmont, E. & Baeten, V. (2019). Development of reliable tools to predict at the farm level the quality of forages using Near Infrared (NIR) spectroscopy. Poster in: EAAP, Ghent-Belgium, 26-30 August 2019.
- Rienesl, L. , Khayatzadeh, N. , Köck, A. , Dale, L.M. , Werner, A. , Grelet, C. , Gengler, N. , Auer, F.J. , Egger-Danner, C. , Massart, X. & Sölkner, J. (2019). Mastitis Detection from Milk Mid-Infrared (MIR) Spectroscopy in Dairy Cows. Acta Univ. Agric. Silvic. Mendelianae Brun, 67: 1221-1226.