1.054
IF5
1.150
IF
Q3
JCR
1.7
CiteScore
0.396
SJR
Q2
SJR
40
MNiSW
148.75
ICV
SHORT COMMUNICATION
 
CC-BY 4.0
 
 

High-throughput measurements for functional genomics of milk

H. Martens 1, 2, 3  ,  
A. Kohler 1, 2, 4,  
N. K. Afseth 1, 2, 3,  
J. P. Wold 1, 2,  
M. Harsleth 2,  
I. Berget 1, 2, 5,  
T. Ådnøy 6,  
M. Skaugen 3,  
T. Isaksson 1, 3,  
G. Vegarud 3,  
A. Criscione 3,  
B. H. Mevik 1, 3,  
M. B. Frøst 7,  
Å. T. Randby 6,  
E. Prestløkken 6, 8,  
P. Berg 6, 5,  
M. Kent 6, 5,  
S. Lien 5, 6,  
 
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
J. Anim. Feed Sci. 2007;16(Suppl. 1):172–189
Publication date: 2007-10-26
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.
CORRESPONDING AUTHOR
H. Martens   
Centre for Biospectroscopy and Data Modelling, Campus Ås, Norway
 
CITATIONS (2):
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
ISSN:1230-1388