1H nuclear magnetic resonance（1H NMR） spectroscopy combined with chemometrics was developed for the identification and classification of Chinese honey of different floral origins.33 acacia honeys

48 rape honeys and 63 lychee honeys were analyzed by NMR

and the NMR data were preprocessed in different modes.Supervised partial least squares discriminant analysis（PLS-DA） and orthogonal partial least squares discriminant analysis（OPLS-DA） were both used to set up discriminant models by extracting the useful information from NMR signals.Results showed that different data preprocessing methods have significant influences on the interpretation and prediction abilities of the models

and the unit variance（UV） scaling was more suitable for the analysis of honey NMR data than the others.The OPLS-DA model could effectively discriminate three kinds of honey of different floral origins.The explanation and prediction abilities based on the OPLS-DA model were 95.8% and 90.5%

respectively.Therefore

1H NMR spectroscopy combined with chemometric could effectively realize the rapid and accurate identification of Chinese honeys of different floral origins.