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Sensors (Basel)

Title:		Application of gas sensor arrays in assessment of wastewater purification effects
Author(s):		Guz L; Lagod G; Jaromin-Glen K; Suchorab Z; Sobczuk H; Bieganowski A;
Address:		"Faculty of Environmental Engineering, Lublin University of Technology, Nadbystrzycka 40B Str., Lublin 20-618, Poland. l.guz@wis.pol.lublin.pl. Faculty of Environmental Engineering, Lublin University of Technology, Nadbystrzycka 40B Str., Lublin 20-618, Poland. g.lagod@wis.pol.lublin.pl. Institute of Agrophysics, Polish Academy of Sciences, Doswiadczalna 4 Str., Lublin 20-290, Poland. k.jaromin-glen@ipan.lublin.pl. Faculty of Environmental Engineering, Lublin University of Technology, Nadbystrzycka 40B Str., Lublin 20-618, Poland. z.suchorab@wis.pol.lublin.pl. Faculty of Environmental Engineering, Lublin University of Technology, Nadbystrzycka 40B Str., Lublin 20-618, Poland. h.sobczuk@wis.pol.lublin.pl. Institute of Agrophysics, Polish Academy of Sciences, Doswiadczalna 4 Str., Lublin 20-290, Poland. a.bieganowski@ipan.lublin.pl"
Journal Title:		Sensors (Basel)
Year:		2014
Volume:		20141223
Issue:		1
Page Number:		1 - 21
DOI:		10.3390/s150100001
ISSN/ISBN:		1424-8220 (Electronic) 1424-8220 (Linking)
Abstract:		"A gas sensor array consisting of eight metal oxide semiconductor (MOS) type gas sensors was evaluated for its ability for assessment of the selected wastewater parameters. Municipal wastewater was collected in a wastewater treatment plant (WWTP) in a primary sedimentation tank and was treated in a laboratory-scale sequential batch reactor (SBR). A comparison of the gas sensor array (electronic nose) response to the standard physical-chemical parameters of treated wastewater was performed. To analyze the measurement results, artificial neural networks were used. E-nose-gas sensors array and artificial neural networks proved to be a suitable method for the monitoring of treated wastewater quality. Neural networks used for data validation showed high correlation between the electronic nose readouts and: (I) chemical oxygen demand (COD) (r = 0.988); (II) total suspended solids (TSS) (r = 0.938); (III) turbidity (r = 0.940); (IV) pH (r = 0.554); (V) nitrogen compounds: N-NO3 (r = 0.958), N-NO2 (r = 0.869) and N-NH3 (r = 0.978); (VI) and volatile organic compounds (VOC) (r = 0.987). Good correlation of the abovementioned parameters are observed under stable treatment conditions in a laboratory batch reactor"
Keywords:
Notes:		"PubMed-not-MEDLINEGuz, Lukasz Lagod, Grzegorz Jaromin-Glen, Katarzyna Suchorab, Zbigniew Sobczuk, Henryk Bieganowski, Andrzej eng Switzerland 2014/12/30 Sensors (Basel). 2014 Dec 23; 15(1):1-21. doi: 10.3390/s150100001"