An IoT-enabled Portable Water Quality Monitoring System with MWCNT/PDMS Multifunctional Sensor for Agricultural Applications

Akhter, F; Siddiquei, HR; Alahi, MEE; Jayasundera, K; Mukhopadhyay, SC

An IoT-enabled Portable Water Quality Monitoring System with MWCNT/PDMS Multifunctional Sensor for Agricultural Applications

Akhter, F Siddiquei, HR Alahi, MEE Jayasundera, K

Mukhopadhyay, SC

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Publisher:: Institute of Electrical and Electronics Engineers (IEEE)
Publication Type:: Journal Article
Citation:: IEEE Internet of Things Journal, 2022, 9, (16), pp. 14307-14316
Issue Date:: 2022-01-01

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Field	Value	Language
dc.contributor.author	Akhter, F
dc.contributor.author	Siddiquei, HR
dc.contributor.author	Alahi, MEE
dc.contributor.author	Jayasundera, K https://orcid.org/0000-0001-9523-3875
dc.contributor.author	Mukhopadhyay, SC
dc.date.accessioned	2023-02-06T03:05:55Z
dc.date.available	2023-02-06T03:05:55Z
dc.date.issued	2022-01-01
dc.identifier.citation	IEEE Internet of Things Journal, 2022, 9, (16), pp. 14307-14316
dc.identifier.issn	2372-2541
dc.identifier.issn	2327-4662
dc.identifier.uri	http://hdl.handle.net/10453/165930
dc.description.abstract	The need to develop a low-power, low-cost nitrate, phosphate, and pH sensor and sensing system is essential for monitoring water quality in real-time. A novel interdigital sensor has been fabricated and characterized for temperature, nitrate, phosphate, and pH detection in water. The sensor is fabricated using the 3D printing technique where electrodes are formed using Multi-Walled Carbon Nanotubes (MWCNTs), and the substrate is developed using Polydimethylsiloxane (PDMS). The sensor is characterized by Electrochemical Impedance Spectroscopy (EIS) to determine various temperatures, pH levels, nitrate, and phosphate concentrations. Experimental outcomes prove that the developed sensor can distinguish nitrate and phosphate concentrations ranging from 0.1 ppm 30 ppm, pH values from 1.71 12.59, temperature from 0 45circ C. The sensitivity for temperature, nitrate, phosphate, and pH level of the sensor are 1.1974Ω/circ C, 1.9396Ω/ppm, 0.8839Ω/ppm and 1.0295Ω, respectively. A location-independent portable smart sensing system with LoRa connectivity is also developed to surveil water quality and get feedback from the experts. A machine learning algorithm trains the Arduino-based system and determines temperature, nitrate and phosphate concentrations, and pH level in real water samples. All the outcomes are compared with the standard method for validation. The sensor and the sensing system’s performances are highly stable, reliable, and repeatable to be a part of a smart sensing network for continuous water quality monitoring.
dc.language	en
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartof	IEEE Internet of Things Journal
dc.relation.isbasedon	10.1109/JIOT.2021.3069894
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0805 Distributed Computing, 1005 Communications Technologies
dc.title	An IoT-enabled Portable Water Quality Monitoring System with MWCNT/PDMS Multifunctional Sensor for Agricultural Applications
dc.type	Journal Article
utslib.citation.volume	9
utslib.for	0805 Distributed Computing
utslib.for	1005 Communications Technologies
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Life Sciences
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2023-02-06T03:05:53Z
pubs.issue	16
pubs.publication-status	Published
pubs.volume	9
utslib.citation.issue	16

Abstract:

The need to develop a low-power, low-cost nitrate, phosphate, and pH sensor and sensing system is essential for monitoring water quality in real-time. A novel interdigital sensor has been fabricated and characterized for temperature, nitrate, phosphate, and pH detection in water. The sensor is fabricated using the 3D printing technique where electrodes are formed using Multi-Walled Carbon Nanotubes (MWCNTs), and the substrate is developed using Polydimethylsiloxane (PDMS). The sensor is characterized by Electrochemical Impedance Spectroscopy (EIS) to determine various temperatures, pH levels, nitrate, and phosphate concentrations. Experimental outcomes prove that the developed sensor can distinguish nitrate and phosphate concentrations ranging from 0.1 ppm 30 ppm, pH values from 1.71 12.59, temperature from 0 45circ C. The sensitivity for temperature, nitrate, phosphate, and pH level of the sensor are 1.1974Ω/circ C, 1.9396Ω/ppm, 0.8839Ω/ppm and 1.0295Ω, respectively. A location-independent portable smart sensing system with LoRa connectivity is also developed to surveil water quality and get feedback from the experts. A machine learning algorithm trains the Arduino-based system and determines temperature, nitrate and phosphate concentrations, and pH level in real water samples. All the outcomes are compared with the standard method for validation. The sensor and the sensing system’s performances are highly stable, reliable, and repeatable to be a part of a smart sensing network for continuous water quality monitoring.

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http://hdl.handle.net/10453/165930