Zhao Yanrong, Chen Hao, Feng Jianghua, Chen Zhiwei, Cai Shuhui
Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Xiamen University, Xiamen 361005, China.
Food Chem. 2017 Sep 1;230:164-173. doi: 10.1016/j.foodchem.2017.03.020. Epub 2017 Mar 6.
Infant formulas (IFs), most of which are bovine milk-based, are important for normal growth and development. However, information regarding the ingredients in IFs is often limited in detail, and chemical changes during production and storage appear common. Therefore, it is important to understand in detail the composition of IFs. In this study, a wide range of low-molecular-weight organic components in commercial IFs were determined using the H nuclear magnetic resonance (NMR) technique. The components emerging after multivariate data analysis could be used to discriminate certain infant formulas from each other. Particular attention was given to the components with potentially beneficial bioactivities. Our study indicates that NMR spectroscopy in combination with multivariate data analysis constitutes an efficient tool for the comprehensive characterization of various IFs and the in-depth understanding of the nutritional value of IFs for infants.
婴儿配方奶粉(IFs)大多以牛乳为基础,对正常生长发育至关重要。然而,关于IFs成分的详细信息往往有限,而且生产和储存过程中的化学变化似乎很常见。因此,详细了解IFs的成分很重要。在本研究中,使用氢核磁共振(NMR)技术测定了市售IFs中广泛的低分子量有机成分。多变量数据分析后出现的成分可用于区分某些婴儿配方奶粉。特别关注具有潜在有益生物活性的成分。我们的研究表明,NMR光谱结合多变量数据分析是全面表征各种IFs以及深入了解IFs对婴儿营养价值的有效工具。