Department of Food Science, Research Centre Aarslev, Aarhus University, Kirstinebjergvej 10, Aarslev, Denmark.
J Agric Food Chem. 2011 Jul 13;59(13):7360-7. doi: 10.1021/jf202057x. Epub 2011 Jun 16.
The aim of the present study was to investigate the relationship between the metabolite profile of milk and important technological properties by using nuclear magnetic resonance (NMR)-based metabolomics. The metabolomics approach was introduced for the metabolic profiling of a set of milk samples from two dairy breeds representing a wide span in coagulation properties. The milk metabolite profiles obtained by proton and carbon NMR spectroscopy could be correlated to breed and, more interestingly, also with the coagulation profile, as established by traditional methods by using principal component analysis (PCA). The metabolites responsible for the separation into breed could mainly be ascribed to carnitine and lactose, whereas the metabolites varying in the samples with respect to coagulation properties included citrate, choline, carnitine, and lactose. The results found in the present study demonstrated a promising potential of NMR-based metabolomics for a rapid analysis and classification of milk samples, both of which are useful for the dairy industry.
本研究旨在通过基于核磁共振(NMR)的代谢组学研究来探讨牛奶代谢物谱与重要技术特性之间的关系。本研究采用代谢组学方法对来自两种不同乳牛品种的牛奶样本进行代谢物分析,这些品种的凝结特性跨度较大。利用质子和碳 NMR 光谱获得的牛奶代谢物谱可与品种相关联,更有趣的是,也可与传统方法通过主成分分析(PCA)所确定的凝结特性相关联。可将导致品种分离的代谢物主要归因于肉碱和乳糖,而与凝结特性有关的代谢物则包括柠檬酸盐、胆碱、肉碱和乳糖。本研究的结果表明,基于 NMR 的代谢组学在快速分析和分类牛奶样本方面具有很大的潜力,这对于乳制品行业都是非常有用的。