Liu, J.;                     Wang, W.;                     Yang, Y.;                     Yan, Y.;                     Wang, W.;                     Wu, H.;                     Ren, Z.    
        A Rapid Discrimination of Authentic and Unauthentic Radix Angelicae Sinensis Growth Regions by Electronic Nose Coupled with Multivariate Statistical Analyses. Sensors 2014, 14, 20134-20148.
    https://doi.org/10.3390/s141120134
    AMA Style
    
                                Liu J,                                 Wang W,                                 Yang Y,                                 Yan Y,                                 Wang W,                                 Wu H,                                 Ren Z.        
                A Rapid Discrimination of Authentic and Unauthentic Radix Angelicae Sinensis Growth Regions by Electronic Nose Coupled with Multivariate Statistical Analyses. Sensors. 2014; 14(11):20134-20148.
        https://doi.org/10.3390/s141120134
    
    Chicago/Turabian Style
    
                                Liu, Jie,                                 Weixin Wang,                                 Yaojun Yang,                                 Yuning Yan,                                 Wenyi Wang,                                 Haozhong Wu,                                 and Zihe Ren.        
                2014. "A Rapid Discrimination of Authentic and Unauthentic Radix Angelicae Sinensis Growth Regions by Electronic Nose Coupled with Multivariate Statistical Analyses" Sensors 14, no. 11: 20134-20148.
        https://doi.org/10.3390/s141120134
    
    APA Style
    
                                Liu, J.,                                 Wang, W.,                                 Yang, Y.,                                 Yan, Y.,                                 Wang, W.,                                 Wu, H.,                                 & Ren, Z.        
        
        (2014). A Rapid Discrimination of Authentic and Unauthentic Radix Angelicae Sinensis Growth Regions by Electronic Nose Coupled with Multivariate Statistical Analyses. Sensors, 14(11), 20134-20148.
        https://doi.org/10.3390/s141120134