Abstract: In order to find out the main chemical data influencing the smoking quality of blended tobacco, factor analysis and stepwise discriminant analysis were carried out on the basis of the test data of 16 chemical components in 3 modular tobacco blends, including total water-soluble sugar, reducing sugar, total nitrogen, total alkaloid, moisture, Cl^-, K⁺, pH, total volatile bases, fructose, maltose, malic acid, isovaleric acid, benzyl alcohol, solanone and β-damascone. The results showed that the quality of the three modular blends could be characterized by 7, 7, and 8 independent common factors, respectively, the first three principal factors, which held the maximum variance factor loading, mainly represented the information about total sugar, reducing sugar, total nitrogen, benzyl alcohol, solanone, and β-damascone; 2) nine chemical indexes, including total sugar, Cl^-, pH, total volatile bases, fructose, malic acid, isovaleric acid, solanone and β-damascone, were included in the discriminant function of significance with internal validation accuracy of 96.7% and cross validation accuracy of 93.3%.