Highly-Sensitive Nanostructured Sensor System Based on RuO Sensing Electrode for Water Quality Monitoring

2009 ◽  
Vol 1 (2) ◽  
pp. 123-132 ◽  
Author(s):  
Serge Zhuiykov
Keyword(s):  
Water Quality ◽  
Water Quality Monitoring ◽  
Quality Monitoring ◽  
Sensor System ◽  
Highly Sensitive ◽  
Nanostructured Sensor

scholarly journals Molecular Diagnostic Platforms for Specific Detection of Escherichia coli

2021 ◽  
Author(s):  
Rehan Deshmukh ◽  
Utpal Roy
Keyword(s):  
Escherichia Coli ◽  
Water Quality ◽  
Water Quality Monitoring ◽  
Molecular Techniques ◽  
Quality Monitoring ◽  
Molecular Diagnostic ◽  
Water Contaminants ◽  
E Coli ◽  
Highly Sensitive ◽  
Safe Food

Developing countries due to socio-economic conditions are more prone to frequent pathogenic outbreaks; inadequate sanitation and water quality monitoring are also responsible for such conditions. Therefore, it is of paramount importance to provide microbiologically safe food/water in order to protect public health. Several flaws in traditional culturing methods have sparked a surge in interest in molecular techniques as a means of improving the efficiency and sensitivity of microbiological food/water quality monitoring. Molecular identification of water contaminants, mainly Escherichia coli, has been extensively used. Several of the molecular-based techniques are based on amplification and detection of nucleic acids. The advantages offered by these PCR-based methods over culture-based techniques are a higher level of specificity, sensitivity, and rapidity. Of late, the development of a biosensor device that is easy to perform, highly sensitive, and selective has the potential to become indispensable in detecting low CFU of pathogenic E. coli in environmental samples. This review seeks to provide a vista of the progress made in the detection of E. coli using nucleic acid-based approaches as part of the microbiological food/water quality monitoring.

scholarly journals Water Quality Monitoring for Goldfish Aquarium using IoT

2020 ◽  
Vol 8 (6) ◽  
pp. 1176-1180
Keyword(s):  
Water Quality ◽  
Design Thinking ◽  
Electronic Device ◽  
Water Quality Monitoring ◽  
Quality Monitoring ◽  
Highly Sensitive ◽  
Water Ph ◽  
Ph Level ◽  
The Internet Of Things ◽  
The Ideal

The goldfish is awell-known beautyful aquariumfish, butit is highly sensitive to the environment; thus, it demands lots ofcare and attention from the owner. The main purpose of this project is to assist the goldfish owners to monitor the pH level, turbidity and temperature using the Internet of Things (IoT). A productis developed based on the user-centric requirements, and the Design Thinking Model in five major phases of actions, namely empathise, define, ideate, prototype, and test. Controlled by acircuit board of Arduino WeMos D1 R32,the electronic device usesthree sensorsto monitor the conditions of the water-- pH, temperature and turbidity. Testing of thefunctionalities was performed successfully and yielded meaningful results. The input and output functions operated smoothlyaccording to the flow chart,and were indicated by LED;at the same time, notifications were sent to the Blynk application platform.The LCD screen displayed the real-time conditions of water quality in the aquarium;the data were used to maintain the ideal conditions of the water for the goldfish to live in.

scholarly journals Water Quality Monitoring with Arduino Based Sensors

Environments ◽  
2021 ◽  
Vol 8 (1) ◽  
pp. 6
Author(s):  
Wong Jun Hong ◽  
Norazanita Shamsuddin ◽  
Emeroylariffion Abas ◽  
Rosyzie Anna Apong ◽  
Zarifi Masri ◽  
...  
Keyword(s):  
Water Quality ◽  
Internet Of Things ◽  
Good Practice ◽  
Water Quality Monitoring ◽  
Quality Monitoring ◽  
Sensor System ◽  
Human Consumption ◽  
Constant State ◽  
Current Water ◽  
Solid Foundation

Water is a quintessential element for the survival of mankind. Its variety of uses means that it is always in a constant state of demand. The supply of water most primarily comes from large reservoirs of water such as lakes, streams, and the ocean itself. As such, it is good practice to monitor its quality to ensure it is fit for human consumption. Current water quality monitoring is often carried out in traditional labs but is time consuming and prone to inaccuracies. Therefore, this paper aims to investigate the feasibility of implementing an Arduino-based sensor system for water quality monitoring. A simple prototype consisting of a microcontroller and multiple attached sensors was employed to conduct weekly onsite tests at multiple daily intervals. It was found that the system works reliably but is reliant on human assistance and prone to data inaccuracies. The system however, provides a solid foundation for future expansion works of the same category to elevate the system to being Internet of Things (IoT) friendly.

scholarly journals A Biological Sensor System Using Computer Vision for Water Quality Monitoring

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 61535-61546 ◽  
Author(s):  
Fei Yuan ◽  
Yifan Huang ◽  
Xin Chen ◽  
En Cheng
Keyword(s):  
Water Quality ◽  
Computer Vision ◽  
Water Quality Monitoring ◽  
Quality Monitoring ◽  
Sensor System ◽  
Biological Sensor

A Design of Wireless Sensor System for Water Quality Monitoring of Oil Field

2013 ◽  
Vol 281 ◽  
pp. 51-54
Author(s):  
Shou Zhi Huang ◽  
Xue Zeng Zhao
Keyword(s):  
Waste Water ◽  
Water Pollution ◽  
Water Quality ◽  
Natural Gas ◽  
Water Quality Monitoring ◽  
Underground Water ◽  
Oil Field ◽  
Quality Monitoring ◽  
Sensor System ◽  
Wireless Sensor

In these years, petroleum and natural gas exploitation cause underground water pollution worldwide. And the leak of the crude oil and injection of waste water in the fracking process are two main reasons of water pollution during the exploitation. So monitoring the water quality in petroleum and natural gas exploitation area is more and more important to assure the drinking water’s safety for people who live nearby. In this paper, a wireless sensor system for water quality monitoring based on wireless sensor networks (WSNs) is designed. This system uses XBee modules as the communication units and chooses proper sensors to monitor the key parameters for water quality including PH, turbidity, conductivity and temperature. And we also use LABVIEW to build an interface to monitor, restore and analyze the data collected.

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