scholarly journals Swelling-Based Chemical Sensing With Unmodified Optical Fibers

2021 ◽  
Author(s):  
Alin Jderu ◽  
Dorel Dorobantu ◽  
Dominik Ziegler ◽  
Marius Enachescu
Keyword(s):  
Water Quality ◽  
Optical Fibers ◽  
Food Processing ◽  
Chemical Sensing ◽  
Low Cost ◽  
Water Quality Monitoring ◽  
Medical Diagnostics ◽  
Distributed Sensing ◽  
Quality Monitoring ◽  
Strain Sensing

AbstractWe use distributed fiber optic strain sensing to examine swelling of the fiber’s polymer coating. The distributed sensing technique that uses unmodified low-cost telecom fibers opens a new dimension of applications that include leak detection, monitoring of water quality, and waste systems. On a short-range length scale, the technology enables “lab-on-a-fiber” applications for food processing, medicine, and biosensing for instance. The chemical sensing is realized with unmodified low-cost telecom optical fibers, namely, by using swelling in the coating material of the fiber to detect specific chemicals. Although generic and able to work in various areas such as environmental monitoring, food analysis, agriculture or security, the proposed chemical sensors can be targeted for water quality monitoring, or medical diagnostics where they present the most groundbreaking nature. Moreover, the technique is without restrictions applicable to longer range installations.

scholarly journals Swelling-Based Distributed Chemical Sensing with Standard Acrylate Coated Optical Fibers

Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 718
Author(s):  
Sina Sedighi ◽  
Marcelo A. Soto ◽  
Alin Jderu ◽  
Dorel Dorobantu ◽  
Marius Enachescu ◽  
...  
Keyword(s):  
Optical Fiber ◽  
Optical Fibers ◽  
Chemical Sensing ◽  
Low Cost ◽  
Refractive Index Change ◽  
Water Quality Monitoring ◽  
Medical Diagnostics ◽  
Optical Frequency Domain Reflectometry ◽  
Frequency Domain Reflectometry ◽  
Agriculture Water

Distributed chemical sensing is demonstrated using standard acrylate coated optical fibers. Swelling of the polymer coating induces strain in the fiber’s silica core provoking a local refractive index change which is detectable all along an optical fiber by advanced distributed sensing techniques. Thermal effects can be discriminated from strain using uncoated fiber segments, leading to more accurate strain readings. The concept has been validated by measuring strain responses of various aqueous and organic solvents and different chain length alkanes and blends thereof. Although demonstrated on a short range of two meters using optical frequency-domain reflectometry, the technique can be applied to many kilometer-long fiber installations. Low-cost and insensitive to corrosion and electromagnetic radiation, along with the possibility to interrogate thousands of independent measurement points along a single optical fiber, this novel technique is likely to find applications in environmental monitoring, food analysis, agriculture, water quality monitoring, or medical diagnostics.

Smart and Low Cost Real Time Water Quality Monitoring System Using IoT

2019 ◽  
Author(s):  
Jeba Anandh S ◽  
Anandharaj M ◽  
Aswinrajan J ◽  
Karankumar G ◽  
Karthik P
Keyword(s):  
Water Quality ◽  
Real Time ◽  
Monitoring System ◽  
Low Cost ◽  
Water Quality Monitoring ◽  
Quality Monitoring

scholarly journals Pengendalian Kualitas Air untuk Tanaman Hidroponik Menggunakan Raspberry Pi dan Arduino Uno

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Ryan Ganesha Calibra ◽  
Irfan Ardiansah ◽  
Nurpilihan Bafdal
Keyword(s):  
Water Quality ◽  
Growth And Development ◽  
Low Cost ◽  
Water Quality Monitoring ◽  
Quality Monitoring ◽  
Raspberry Pi ◽  
Time Data ◽  
Soil Nutrition ◽  
Remote System ◽  
Total Dissolved Solid

Water quality is very important for plant’s growth and development. Some of the important part of the water qualities are TDS(Total Dissolved Solid), EC(Electrical Conductivity), pH(Acidity). Cultivation inside a greenhouse provides some benefits but also have some deficiency, such as lack of soil nutrition because most plants inside greenhouse uses non soil growing media. To overcome the deficiency, An automated and remote system is needed to ease the controlling of water quality and nutrition feeding to the plant. This study aims to create low-cost greenhouse water quality monitoring that automatically display the real time data on a website. This research is done by using an engineering design methods. This system can be integrated with auto-pot watering system . The result shows that the system can adjust the TDS and pH as programmed, which are TDS= 1000-1200, and pH =5.5-6.5(these are recommended needs for Tomato plant). The TDS sensor in this reseach have the limitation of reading 0~1500ppm.

scholarly journals A Low-Cost Water Quality Monitoring System for the Ayeyarwady River in Myanmar Using a Participatory Approach

Water ◽  
2019 ◽  
Vol 11 (10) ◽  
pp. 1984 ◽  
Author(s):  
Thanda Thatoe Nwe Win ◽  
Thom Bogaard ◽  
Nick van de Giesen
Keyword(s):  
Water Quality ◽  
Mobile Phone ◽  
Low Cost ◽  
School Teacher ◽  
Water Quality Monitoring ◽  
Quality Monitoring ◽  
Quality Data ◽  
Water Quality Data ◽  
Lower Accuracy

Newly developed mobile phone applications in combination with citizen science are used in different fields of research, such as public health monitoring, environmental monitoring, precipitation monitoring, noise pollution measurement and mapping, earth observation. In this paper, we present a low-cost water quality mobile phone measurement technique combined with sensor and test strips, and reported the weekly-collected data of three years of the Ayeyarwady River system by volunteers at seven locations and compared these results with the measurements collected by the lab technicians. We assessed the quality of the collected data and their reliability based on several indicators, such as data accuracy, consistency, and completeness. In this study, six local governmental staffs and one middle school teacher collected baseline water quality data with high temporal and spatial resolution. The quality of the data collected by volunteers was comparable to the data of the experienced lab technicians for sensor-based measurement of electrical conductivity and transparency. However, the lower accuracy (higher uncertainty range) of the indicator strips made them less useful in the Ayeyarwady with its relatively small water quality variations. We showed that participatory water quality monitoring in Myanmar can be a serious alternative for a more classical water sampling and lab analysis-based monitoring network, particularly as it results in much higher spatial and temporal resolution of water quality information against the very modest investment and running costs. This approach can help solving the invisible water crisis of unknown water quality (changes) in river and lake systems all over the world.

scholarly journals On the Use of an IoT Integrated System for Water Quality Monitoring and Management in Wastewater Treatment Plants

Water ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 1096 ◽  
Author(s):  
Ramón Martínez ◽  
Nuria Vela ◽  
Abderrazak el Aatik ◽  
Eoin Murray ◽  
Patrick Roche ◽  
...  
Keyword(s):  
Water Quality ◽  
Wireless Sensor Networks ◽  
Wastewater Treatment ◽  
Sensor Networks ◽  
Low Cost ◽  
Treatment Plant ◽  
Water Quality Monitoring ◽  
Quality Monitoring ◽  
Wireless Sensor ◽  
Smart Water

The deteriorating water environment demands new approaches and technologies to achieve sustainable and smart management of urban water systems. Wireless sensor networks represent a promising technology for water quality monitoring and management. The use of wireless sensor networks facilitates the improvement of current centralized systems and traditional manual methods, leading to decentralized smart water quality monitoring systems adaptable to the dynamic and heterogeneous water distribution infrastructure of cities. However, there is a need for a low-cost wireless sensor node solution on the market that enables a cost-effective deployment of this new generation of systems. This paper presents the integration to a wireless sensor network and a preliminary validation in a wastewater treatment plant scenario of a low-cost water quality monitoring device in the close-to-market stage. This device consists of a nitrate and nitrite analyzer based on a novel ion chromatography detection method. The analytical device is integrated using an Internet of Things software platform and tested under real conditions. By doing so, a decentralized smart water quality monitoring system that is conceived and developed for water quality monitoring and management is accomplished. In the presented scenario, such a system allows online near-real-time communication with several devices deployed in multiple water treatment plants and provides preventive and data analytics mechanisms to support decision making. The results obtained comparing laboratory and device measured data demonstrate the reliability of the system and the analytical method implemented in the device.

scholarly journals IDC Sensor for Low-Cost Water Quality Monitoring Applications

2021 ◽  
Vol 26 ◽  
Author(s):  
Diego Mendez-Chaves ◽  
Manuel Perez ◽  
Alejandro Farfan ◽  
Eduardo Gerlein
Keyword(s):  
Water Quality ◽  
Large Scale ◽  
Low Cost ◽  
Complete Solution ◽  
Implementation Process ◽  
Measuring Method ◽  
Water Quality Monitoring ◽  
Quality Monitoring ◽  
New Paradigm ◽  
Monitoring Applications

In order to properly monitor the health status of the hydrological resources of a region, in terms of water contamination, a scalable and low-cost system is necessary to map the water quality at different locations and allow the prioritization of more sophisticated and expensive monitoring campaigns on those areas where a suspicious behavior seems to be occurring. This paper presents the design and implementation process of such an IoT-based solution for low-cost and scalable water quality monitoring applications. To achieve that end, we propose the utilization of a low-cost inter-digital capacitance (IDC) sensor to characterize the conductivity of the water, a very telling parameter about the level of pollution in the water. Additionally, an embedded method to measure such sensor was designed and implemented, which considers the requirements of a portable platform: low computational capabilities, small memory and low power consumption. Our results show that an IDC sensor is capable of detecting the changes of the capacitance of the sample, and therefore mapping the changes in the conductivity of the water. Additionally, integrating an embedded measuring method is a valid option for in-situ characterization of water samples and the complete solution enables a new paradigm for water quality monitoring in large scale scenarios.

A Low-Cost IoT Based Automatic Water Quality Monitoring System for Textile Industry

2021 ◽  
Author(s):  
Avishek Das Gupta ◽  
Zafar Sadek ◽  
Md. Harunur Rashid Bhuiyan ◽  
Md. Golam Kibria ◽  
Tarik Reza Toha ◽  
...  
Keyword(s):  
Water Quality ◽  
Monitoring System ◽  
Textile Industry ◽  
Low Cost ◽  
Water Quality Monitoring ◽  
Quality Monitoring

A low-cost autonomous optical sensor for water quality monitoring

Talanta ◽  
2015 ◽  
Vol 132 ◽  
pp. 520-527 ◽  
Author(s):  
Kevin Murphy ◽  
Brendan Heery ◽  
Timothy Sullivan ◽  
Dian Zhang ◽  
Lizandra Paludetti ◽  
...  
Keyword(s):  
Water Quality ◽  
Optical Sensor ◽  
Low Cost ◽  
Water Quality Monitoring ◽  
Quality Monitoring

A multi-parameter integrated chip system for water quality detection

2019 ◽  
Vol 33 (07) ◽  
pp. 1950041 ◽  
Author(s):  
Jiaqi Wang ◽  
Chao Bian ◽  
Yang Li ◽  
Jizhou Sun ◽  
Jianhua Tong ◽  
...  
Keyword(s):  
Water Quality ◽  
Temperature Sensor ◽  
Low Cost ◽  
Simultaneous Detection ◽  
Ruthenium Oxide ◽  
Water Quality Monitoring ◽  
Quality Parameters ◽  
Electrode System ◽  
Quality Monitoring ◽  
Quality Detection

Water pollution has always been an important issue threatening human health. Water quality monitoring is an important step to ensure water quality safety. Water quality parameters such as pH, temperature and conductivity are important indicators in water quality monitoring. In this paper, a multi-parameter water quality detection integrated chip system is studied, and multiple sensors are integrated on the same chip to realize the monitoring of conventional parameters such as pH, temperature and conductivity in drinking water. The chip system was processed by MEMS technology. A ruthenium oxide (RuO2) film is used for pH detection, and the sensor exhibits a super-Nernst response (62.88 mV/pH) in the range of pH 1.92–11.74. The patterned micro Pt film is used as the temperature sensor, and the three-wire orthogonal structure is used for temperature detection. The sensitivity of this temperature sensor is 5.517 [Formula: see text]/[Formula: see text]C in the range of 6 to 80[Formula: see text]C. Conductivity was measured by a four-electrode system, and the electrode constant was 1.667 cm[Formula: see text] measured between 0.994 and 21.167 mS/cm. The test results show that the multi-parameter integrated chip system can realize the simultaneous detection of pH, temperature and conductivity in water, and has the characteristics of miniaturization and low cost, and provides an effective way for simultaneous detection of water quality.

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