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Frontiers of Computer Science

ISSN 2095-2228

ISSN 2095-2236(Online)

CN 10-1014/TP

Postal Subscription Code 80-970

2018 Impact Factor: 1.129

Front. Comput. Sci.    2019, Vol. 13 Issue (4) : 907-909    https://doi.org/10.1007/s11704-019-8218-x
LETTER
Detection of common wound infection bacteria based on FAIMS technology
Shenyi QIAN1, Daiyi LI1, Tong SUN1,2(), Bin YU2
1. School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China
2. College of Communication Engineering, Chongqing University, Chongqing 400044, China
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Corresponding Author(s): Tong SUN   
Just Accepted Date: 10 January 2019   Online First Date: 26 March 2019    Issue Date: 29 May 2019
 Cite this article:   
Shenyi QIAN,Daiyi LI,Tong SUN, et al. Detection of common wound infection bacteria based on FAIMS technology[J]. Front. Comput. Sci., 2019, 13(4): 907-909.
 URL:  
https://academic.hep.com.cn/fcs/EN/10.1007/s11704-019-8218-x
https://academic.hep.com.cn/fcs/EN/Y2019/V13/I4/907
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https://doi.org/10.1109/LSP.2013.2259622
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https://doi.org/10.1109/TIP.2010.2042645
5 S MCheng, JWang, Y HMa, Y W Wang. Discrimination of different types damage of tomato seedling by electronic nose. Chinese Journal of Sensors & Actuators, 2012, 25(9): 1184–1188
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