Compositional identification and authentication of Chinese honeys by 1H NMR combined with multivariate analysis.

Food Research International
Chenxi HeJianghua Feng

Abstract

Honey authentication has been becoming more and more important and necessary to the honey producers, the consumers and the market regulatory authority due to its favorite organoleptic and healthy properties, high value and increasing export but prevalent falsification practice for economic motivation in China and the potential health risk of adulterated honey. In this study, we obtained the spectral profiles of 90 authentic and 75 adulterated Chinese honey samples by means of high resolution nuclear magnetic resonance (NMR) spectroscopy, and 65 kinds of major and minor components in honey were identified and quantified from their NMR spectra. Combining with the multivariate statistical analyses including principal component analysis (PCA), linear discriminant analysis (LDA), and orthogonal partial least squared-discriminant analysis (OPLS-DA), the discrimination models were successfully established to identify the adulterated honeys from the authentic ones with an accurate rate of 97.6%. Furthermore, the corresponding volcano plot was used to screen out 8 components including proline, xylobiose, uridine, β-glucose, melezitose, turanose, lysine and an unknown component, which are responsible for the differentiation between the a...Continue Reading

Citations

Jul 25, 2021·Molecules : a Journal of Synthetic Chemistry and Natural Product Chemistry·José Enrique Herbert-PuchetaCecilia Anaya de Parrodi
Aug 28, 2021·Molecules : a Journal of Synthetic Chemistry and Natural Product Chemistry·Meijun XingGuiping Shen

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