A total of 92 samples from three countries,ie.the United States,Canada and PR.China were determined by inductively coupled plasma mass spectrometry(ICP-MS) and inductively coupled plasma(ICP)-optical emission spectroscopy(OES).A regional discrimination model was set up using the mineral element content combined with chemometrics of Principal component analysis(PCA) and Partial least squares discriminant analysis(PLS-DA).Results showed that the PCA and PLS-DA multivariate statistical models could be used to distinguish the cherry samples from these three countries.Cherries from the United States,Canada and China appeared a certain clustering effect,but Canadian cherries exhibited a certain intersection with American cherries.The PLS-DA origin traceability model for cherry samples showed that 20 elements such as Pr,Nd,Ce,Y,Co,Mo,Mn,Dy,Gd,Ni,Ho,Sm,Sr,Er,Ga,U,Na,Yb,Be and Zn were the main significant elemental variables.According to the distribution of these 20 elements,the traceability identification model for cherries could be constructed.The identification rates of the PLS-DA origin traceability model for the three source cherry samples was 50% from the US,83.3% from Canada and 83.3% from China.