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

Area of Science:

• Environmental Science
• Sensor Technology

Background:

• Water quality monitoring is crucial for public health and industrial processes.
• Existing methods for detecting volatile organic compounds (VOCs) in water can be expensive and complex.
• The need for low-cost, portable, and efficient detection systems is growing.

Purpose of the Study:

• To develop and evaluate a new low-cost, portable electronic nose instrument, the Multisensory Odor Olfactory System (MOOSY4).
• To assess the MOOSY4's capability in detecting specific volatile sulfur compounds in water pollution.
• To demonstrate the potential of this eNose for improving quality control in industries like bottled water production.

Main Methods:

• The MOOSY4 prototype utilizes four metal oxide semiconductor (MOS) gas sensors, making it suitable for Internet of Things (IoT) integration.
• The system architecture encompasses data acquisition, storage, processing, and user interfacing.
• Experimental validation involved testing the eNose for the detection of volatile components such as dimethyl disulfide, dimethyl diselenide, and sulfur in water samples.

Main Results:

• The MOOSY4 system demonstrated successful detection of target volatile compounds in water.
• Odor information related to water pollution was recognized with approximately 86% efficiency.
• The results indicate the system's effectiveness in identifying undesirable smells in water.

Conclusions:

• The developed MOOSY4 electronic nose offers a cost-effective and portable solution for water quality monitoring.
• The system shows significant potential for real-time detection of specific pollutants.
• This technology can enhance quality control processes in bottled water factories and other relevant industries.