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Sensors 2015, 15(1), 1-21; doi:10.3390/s150100001

Application of Gas Sensor Arrays in Assessment of Wastewater Purification Effects

1
Faculty of Environmental Engineering, Lublin University of Technology, Nadbystrzycka 40B Str., Lublin 20-618, Poland
2
Institute of Agrophysics, Polish Academy of Sciences, Doswiadczalna 4 Str., Lublin 20-290, Poland
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Received: 8 September 2014 / Accepted: 15 December 2014 / Published: 23 December 2014
(This article belongs to the Special Issue Modern Technologies for Sensing Pollution in Air, Water, and Soil)
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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. View Full-Text
Keywords: gas sensor array; electronic nose (e-nose); sewage physical-chemical parameters; wastewater treatment; sequencing batch reactors (SBR) gas sensor array; electronic nose (e-nose); sewage physical-chemical parameters; wastewater treatment; sequencing batch reactors (SBR)
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Guz, Ł.; Łagód, G.; Jaromin-Gleń, K.; Suchorab, Z.; Sobczuk, H.; Bieganowski, A. Application of Gas Sensor Arrays in Assessment of Wastewater Purification Effects. Sensors 2015, 15, 1-21.

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