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. 2018 Apr 11;18(4):1179. doi: 10.3390/s18041179

Table 2.

Methods for background interference suppression

Ref No. Author (year) Gas Sensors/e-Nose System Sampling Type Gases to Be Detected Interference Source Data Processing Method Effects
[30] J. Feng, et al. (2011) TGS826, TGS813, TGS825, TGS800, TGS816, TGS2620, TGS822, TGS2602, TGS2600, QS01, WSP2111, MQ138, MQ135, SP3S-AQ2 and AQ sensor Pump suction Wound detection (P. aeruginosa, E. coli and S. aureus) The smell of mice themselves Wavelet transform, RBF Recognition rate: RBF with ‘Leave-one-out’ method: 95%; RBF with ‘40 Training + 40 Test’ method: 97.5%.
[31] F. Tian, et al. (2012) TGS826, TGS813, TGS825, TGS800, TGS816, TGS2620, TGS822, TGS2602, TGS2600, QS01, WSP2111, MQ138, MQ135, SP3S-AQ2 and AQ sensor Pump suction Wound detection (P. aeruginosa, E. coli and S. aureus) The smell of mice themselves ICA, RBF Recognition rate: 96.25%.
[35] J. Feng, et al. (2014) TGS826, TGS813, TGS825, TGS800, TGS816, TGS2620, TGS822, TGS2602, TGS2600, QS01, WSP2111, MQ138, MQ135, SP3S-AQ2 and AQ sensor. Pump suction Wound detection (P. aeruginosa, E. coli and S. aureus) The smell of mice themselves OSC, RBF, PSO Recognition rate: 97.5%.
[36] F. Tian, et al. (2012) TGS2602, TGS2620, TGS2201 Diffusion sampling Formaldehyde and benzene Noise interference PCA, ICA, RBF Average relative prediction error: formaldehyde: 30.4%; benzene: 10.726%.
[37] R. Gutierrez-Osuna, et al. (2004) TGS2602, TGS2610, TGS2611, TGS2620 Pump suction Acetone, isopropyl alcohol and ammonia Background chemicals Generalization Fisher’s linear discriminants Cancel the effect of both single and mixture backgrounds
[38] R. Gutierrez-Osuna, et al. (2003) TGS2602, TGS2610, TGS2611, TGS2620 Pump suction Acetone, isopropyl alcohol and ammonia Background odors Linear discriminant function, KIII model Eliminate the memory effect of previously detected
[39] A. Gutierrez-Galvez, et al. (2006) TGS2602, TGS2610, TGS2611, TGS2620 Pump suction Acetone, isopropyl alcohol and ammonia Background odors KIII model Anti-Hebbian term can reduce the overlap between patterns