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. 2017 Aug 20;17(8):1917.
doi: 10.3390/s17081917.

Development of the MOOSY4 eNose IoT for Sulphur-Based VOC Water Pollution Detection

Enric Climent  1 , Jose Pelegri-Sebastia  2 , Tomas Sogorb  3 , J B Talens  4 , Jose Chilo  5
Affiliations

Development of the MOOSY4 eNose IoT for Sulphur-Based VOC Water Pollution Detection

Enric Climent et al. Sensors (Basel). .

Abstract

In this paper, we describe a new low-cost and portable electronic nose instrument, the Multisensory Odor Olfactory System MOOSY4. This prototype is based on only four metal oxide semiconductor (MOS) gas sensors suitable for IoT technology. The system architecture consists of four stages: data acquisition, data storage, data processing, and user interfacing. The designed eNose was tested with experiment for detection of volatile components in water pollution, as a dimethyl disulphide or dimethyl diselenide or sulphur. Therefore, the results provide evidence that odor information can be recognized with around 86% efficiency, detecting smells unwanted in the water and improving the quality control in bottled water factories.

Keywords: ANN; MOOSY4; WEKA; electronic nose; embedded; water quality.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Architecture of the MOOSY4 eNose system: Pump (1), T connector (2), 3/2 valve (3), substance under test (4), chamber with sensors (5).
Figure 2
Figure 2
Data acquisition expansion board.
Figure 3
Figure 3
Modular platform of our system.
Figure 4
Figure 4
Signals captured with sensor TGS2610-c00from the MOOSY4 eNose. These correspond to samples (1–5) from Table 1.
Figure 5
Figure 5
(A) Samples processed with MLP. (a) Dimethyl disulphide, dimethyl trisulphide, dimethyl diselenide. (b) Mix of sulphur compounds. (c) Confusion. (d) Commercial water. (B) Samples in a PCA graphic: (a) Dimethyl disulphide, (b) dimethyl trisulphide, (c) dimethyl diselenide, (d) Mix of sulphur compounds, (e) Commercial water.
Figure 6
Figure 6
Picture of the low power and low cost MOOSY4 eNose for IoT designed.
See this image and copyright information in PMC

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