Abstract: Odor fingerprint analysis of chicken samples stored at 0℃ and 10℃ for different time was carried out using electronic nose. At the same time the total volatile basic nitrogen(TVBN) and total number of colonies were detected,and sensory change was evaluated. Odor fingerprint data were analyzed using methods of principal component analysis(PCA) and discriminant factor analysis(DFA). Correlation curves between electronic nose output signals and TVBN,the total number of colonies and sensory scores,respectively were established using partial least squares(PLS). Results showed that chicken samples stored at 0℃ and 10℃ for different storage days could be distinguished using PCA and DFA analysis. There was good correlation between the results obtained by electronic nose combined with PCA and DFA analysis and the samples' freshness. The correlation coefficients between TVBN,the total number of colonies and sensory scores and odor signal values fitted by PLS for 0℃ samples,respectively,were 0.9920,0.9656 and 0.9812. And the correlation coefficients for10℃ samples were 0.9873,0.9762 and 0.9880. Electronic nose not only could distinguish samples under 0℃ and10℃ for different time,but could predict TVBN value,the total number of colonies and sensory scores of samples.