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1H NMR-based compositional identification of different powdered infant formulas
Yanrong Zhao1, Hao Chen1, Jianghua Feng1
1Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Xiamen University, Xiamen 361005, China.
Food Chemistry
|April 15, 2017
Summary
Nuclear Magnetic Resonance (NMR) spectroscopy comprehensively analyzed infant formulas (IFs), revealing key organic components. This method efficiently characterizes IFs, aiding in understanding their nutritional value and differentiating between products.
Area of Science:
- Analytical Chemistry
- Food Science
- Biochemistry
Background:
- Infant formulas (IFs) are crucial for infant nutrition, but detailed ingredient information and potential chemical changes during processing are often lacking.
- Understanding the precise composition of IFs is vital for ensuring infant health and development.
Purpose of the Study:
- To comprehensively characterize the low-molecular-weight organic components in commercial infant formulas.
- To evaluate the utility of 1H nuclear magnetic resonance (NMR) spectroscopy combined with multivariate data analysis for IF analysis.
Main Methods:
- Utilized 1H nuclear magnetic resonance (NMR) spectroscopy to analyze a broad spectrum of low-molecular-weight organic components in various commercial infant formulas.
- Applied multivariate data analysis to the NMR spectral data to identify and differentiate components.
Main Results:
- Successfully identified a wide range of low-molecular-weight organic components in the analyzed infant formulas.
- Demonstrated that the identified components, via multivariate data analysis, can effectively discriminate between different infant formulas.
- Highlighted components with potential bioactivities.
Conclusions:
- NMR spectroscopy coupled with multivariate data analysis is an efficient and powerful tool for the comprehensive characterization of infant formulas.
- This approach provides in-depth insights into the nutritional value of infant formulas, supporting quality control and product development.