scholarly journals Self-powered, autonomous Biological Oxygen Demand biosensor for online water quality monitoring

2017 ◽  
Vol 244 ◽  
pp. 815-822 ◽  
Author(s):  
Grzegorz Pasternak ◽  
John Greenman ◽  
Ioannis Ieropoulos
2014 ◽  
Vol 23 (06) ◽  
pp. 1450079 ◽  
Author(s):  
PAWAN WHIG ◽  
SYED NASEEM AHMAD

In this paper, the design of an ASIC is presented that implement a low-cost system for the supervision of water quality in urban areas or rivers. Photo catalytic sensor (PCS) estimates the parameter biological oxygen demand (BOD) which is generally used to estimate quality of water. The system proposed in this paper involves a simple potentiometric approach that provides a correlation in the input–output signals of low-cost sensors. This approach which is more users friendly and fast in operation is obtained by modeling and optimization of sensor for water quality monitoring. This is to overcome several drawbacks generally found in the previous flow injection analysis method of determining chemical oxygen demand (COD)-like complex designing, nonlinearity and long computation time. The system constitutes a significant cost reduction in the supervision of water quality monitoring. The main reason of employing a readout circuit to PCS circuitry, is the fact that the fluctuation of O 2 influences the threshold voltage, which is internal parameter of the FET and can manifest itself as a voltage signal at output but as a function of the trans-conductance gain. The trans-conductance is a passive parameter and in order to derive voltage or current signal from its fluctuations the sensor has to be attached to readout circuit. This circuit provides high sensitivity to the changes in percentage of O 2 in the solution. In this design simple potentiometric approach with few passive components are used to build a readout circuit. The paper focuses on the electronic implementation of the readout system for the PCS which optimize the circuit performance and increases reliability.


2015 ◽  
Vol 73 (3) ◽  
pp. 697-706 ◽  
Author(s):  
Yingke Xie ◽  
Zhiyu Wen ◽  
Zhihong Mo ◽  
Zhiqiang Yu ◽  
Kanglin Wei

An automatic, miniature and multi-parameter on-line water quality monitoring system based on a micro-spectrometer is designed and implemented. The system is integrated with the flow-batch analysis and spectrophotometric detection method. The effectiveness of the system is tested by measuring chemical oxygen demand (COD) and ammonia-nitrogen in water. The results show that the modified system provides a cost-effective, sensitive, reproducible and reliable way to measure COD and ammonia-nitrogen in water samples with automatic operation and low toxic chemical consumption. In addition, the experiment results show that the relative error of the system is less than 10%, the limit of detection is 2 mg/L COD and 0.032 mg/L ammonia-nitrogen, respectively, and the relative standard deviation was 6.6% at 15.0 mg/L COD (n = 7) and 5.0% at 0.300 mg/L ammonia-nitrogen (n = 7). Results from the newly designed system are consistent with the data collected through the Chinese national standard analysis methods.


2013 ◽  
Vol 133 (8) ◽  
pp. 1616-1624
Author(s):  
Zu Soh ◽  
Kentaro Miyamoto ◽  
Akira Hirano ◽  
Toshio Tsuji

2016 ◽  
Vol 15 (5) ◽  
pp. 1069-1074 ◽  
Author(s):  
Violeta-Monica Radu ◽  
Alexandru Anton Ivanov ◽  
Petra Ionescu ◽  
Gyorgy Deak ◽  
Marian Tudor

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