The UPLC fingerprint and content determination combined with chemical pattern recognition were developed to compare and analyze the differences in Persicae Semen and its processed products.The Waters ACQUITY UPLC HSS T3(150 mm×2.1 mm,1.8 μm) was used for the analysis,with a acetonitrile-0.1% phosphoric acid solution serving as the mobile phase,a volume flow rate of 0.30 mL/min,a column temperature of 20 ℃,a injection volume of 2 μL,and a detective wavelength of 210 nm.Variance analysis(VA),hierarchical clustering analysis(HCA),and partial least squares discrimination analysis(PLS-DA) were used to analyze the fingerprint.The results showed that the similarity of UPLC fingerprint of 18 batches of Persicae Semen and its processed products was above 0.990.Three common peaks were identified out of eight common peaks in Persicae Semen,Chan Persicae Semen and seven common peaks in stir-baked Persicae Semen.Persicae Semen and its processed products were divided into three groups with significant differences under the chemical pattern recognition analysis.The results also indicated that the average content of D-amygdalin in samples of Persicae Semen,Chan Persicae Semen and stir-baked Persicae Semen were 3.194%,3.048%,2.250%,respectively.The established method,which has strong specificity,high stability and good separation,can efficiently identify Persicae Semen,Chan Persicae Semen and stir-baked Persicae Semen,and accurately determine D-amygdalin content.