期刊
JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY
卷 67, 期 27, 页码 7765-7774出版社
AMER CHEMICAL SOC
DOI: 10.1021/acs.jafc.9b01066
关键词
nuclear magnetic resonance; chemical barcoding; natural health products; food quality; multivariate statistical analysis
资金
- Natural Sciences and Engineering Research Council of Canada (NSERC)
One of the greatest challenges facing the functional food and natural health product (NHP) industries is sourcing high-quality, functional, natural ingredients for their finished products. Unfortunately, the lack of ingredient standards, modernized analytical methodologies, and industry oversight creates the potential for low quality and, in some cases, deliberate adulteration of ingredients. By exploring a diverse library of NHPs provided by the independent certification organization ISURA, we demonstrated that nuclear magnetic resonance (NMR) spectroscopy provides an innovative solution to authenticate botanicals and warrant the quality and safety of processed foods and manufactured functional ingredients. Two-dimensional NMR experiments were shown to be a robust and reproducible approach to capture the content of complex chemical mixtures, while a binary normalization step allows for emphasizing the chemical diversity in each sample, and unsupervised statistical methodologies provide key advantages to classify, authenticate, and highlight the potential presence of additives and adulterants.
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