SHORT COMMUNICATION
High-throughput measurements for functional genomics of milk
H. Martens 1,2,3
,
 
A. Kohler 1,2,4
,
 
N. K. Afseth 1,2,3
,
 
,
 
,
 
I. Berget 1,2,5
,
 
,
 
,
 
,
 
,
 
,
 
,
 
,
 
,
 
,
 
P. Berg 6,5
,
 
M. Kent 6,5
,
 
S. Lien 5,6
,
 
 
 
 
More details
Hide details
1
Centre for Biospectroscopy and Data Modelling, Campus Ås, Norway
 
2
Norwegian Food Research Institute, Matforsk 1430 Ås, Norway
 
3
Norwegian University of Life Sciences, Department of Chemistry, Biology and Food Science (IKBM), 1432 Ås, Norway
 
4
Norwegian University of Life Sciences, Department of Mathematical Sciences and Technology (IMT), 1432 Ås, Norway
 
5
Norwegian University of Life Sciences, Centre for Integrative Genetics (CIGENE), 1432 Ås, Norway
 
6
Norwegian University of Life Sciences, Department of Animal and Aquacultural Sciences (IHA), 1432 Ås, Norway
 
7
Copenhagen University, Faculty of Life Sciences, Bülowsvej 17, 1870 Frederiksberg C, Denmark
 
8
Norwegian University of Life Sciences, Felleskjøpet Feed Development, 1432 Ås, Norway
 
 
Publication date: 2007-10-26
 
 
Corresponding author
H. Martens   

Centre for Biospectroscopy and Data Modelling, Campus Ås, Norway
 
 
J. Anim. Feed Sci. 2007;16(Suppl. 1):172-189
 
KEYWORDS
ABSTRACT
Recent developments in analytical technology have simplified a detailed characterization of milk and milk-based samples. A range of powerful new instrumentation types have recently been installed at various institutes at Campus Ås (Norway). At the campus we have recently implemented efficient, multi-channel instrumentation for genomics, transcriptomics, proteomics, biospectroscopy, metabolomics and various quality assessments. The present paper gives an informal outline of various modern analytical tools for characterization of various milk and milk-based samples.
 
CITATIONS (4):
1.
Quantitative whole spectrum analysis with MALDI-TOF MS, Part I: Measurement optimisation
Kristian Liland, Bjørn-Helge Mevik, Elling-Olav Rukke, Trygve Almøy, Morten Skaugen, Tomas Isaksson
Chemometrics and Intelligent Laboratory Systems
 
2.
Bimetallic core shelled nanoparticles (Au@AgNPs) for rapid detection of thiram and dicyandiamide contaminants in liquid milk using SERS
Abid Hussain, Da-Wen Sun, Hongbin Pu
Food Chemistry
 
3.
Single-drop technique for lactose prediction in dry milk on metallic surfaces: Comparison of Raman, FT – NIR, and FT – MIR spectral imaging
Vicky Caponigro, Federico Marini, Amalia Scannell, Aoife Gowen
Food Control
 
4.
Performance assessment of probe-based Raman spectroscopy systems for biomedical analysis
Sean Fitzgerald, Eric Marple, Anita Mahadevan-Jansen
Biomedical Optics Express
 
ISSN:1230-1388
Journals System - logo
Scroll to top