TY - JOUR
T1 - An IoT-enabled portable water quality monitoring system with MWCNT/PDMS multifunctional sensor for agricultural applications
AU - Akhter, Fowzia
AU - Siddiquei, Hasin R.
AU - Alahi, Md Eshrat E.
AU - Jayasundera, Krishanthi P.
AU - Mukhopadhyay, Subhas Chandra
PY - 2022/8/15
Y1 - 2022/8/15
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85103782409&partnerID=8YFLogxK
U2 - 10.1109/JIOT.2021.3069894
DO - 10.1109/JIOT.2021.3069894
M3 - Article
AN - SCOPUS:85103782409
SN - 2327-4662
VL - 9
SP - 14307
EP - 14316
JO - IEEE Internet of Things Journal
JF - IEEE Internet of Things Journal
IS - 16
ER -