On the Performance of ISFET-based Device for Water Quality Monitoring

Whig, Pawan; Ahmad, Syed Naseem

doi:10.4236/ijcns.2011.411087

Cited by 16 publications

(11 citation statements)

References 20 publications

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“…Comparing PCS with MOSFET keeping the concentration of O 2 = 1mg/l it is found that the curve resembles with the characteristic V ds /I ds curve of MOSFET keeping V gs constant [19][20][21]. Now keeping the reference voltage V gs = 0 it is observed that for different concentration levels of O 2 , different V ds /I ds curves are obtained as shown in Figure 4.…”

Section: Photo Catalysis Processmentioning

confidence: 93%

“…Since the two inputs occur simultaneously, so AND operator has been chosen in IF statements. R 1 : If temperature is low [10][11][12][13][14][15][16][17][18][19][20] and sensor output is low [5][6][7][8][9][10].…”

Section: Photo Catalysis Sensormentioning

confidence: 99%

“…R 2 : If temperature is medium [20][21][22][23][24][25][26][27][28][29][30] and sensor output is low [5][6][7][8][9][10].…”

Section: Photo Catalysis Sensormentioning

confidence: 99%

See 2 more Smart Citations

Controlling the Output Error for Photo Catalytic Sensor (PCS) Using Fuzzy Logic

Whig¹,

Sn²

2017

J Earth Sci Clim Change

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This paper presents novel method to control output error of the Photo Catalytic Sensor (PCS) using fuzzy interface. Whig and Ahmad in 2014, proposed the spice model of PCS which is a type of ion sensitive FET and very useful to estimate the parameter BOD (Biological Oxygen Demand) which is generally used to estimate quality of water. PCS can also be used to calculate the amount of concentration level of oxygen required to purify the polluted air and sanitization of surface. The purpose to control the output error due to variation in temperature is due to the fact that the fluctuation of O 2 influence the threshold voltage, which is internal parameter of FET can manifest itself as a voltage signal at output but as a function of trans conductance gain. Hence, a system controlled by fuzzy logic which control the output error is proposed. This novel method is very useful because of their simplicity, robustness and successful practical applications. The proposed system is fast in operation which is further helpful for PCS which operates under sub-threshold conditions and reduced computation time. The system is user friendly and the outcomes of simulation are fairly in agreement with the theoretical estimation.

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Section: Photo Catalysis Processmentioning

confidence: 93%

Section: Photo Catalysis Sensormentioning

confidence: 99%

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Controlling the Output Error for Photo Catalytic Sensor (PCS) Using Fuzzy Logic

Whig¹,

Sn²

2017

J Earth Sci Clim Change

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“…The chemical oxygen demand (COD) and biological oxygen demand (BOD) are the two main indices which are used globally to determine the overall quality of the water. 1 The method is very expensive, tedious and it can take several weeks to get results of the tests. One approach to solve this problem is to use several low cost sensors and try to detect correlations with the COD and BOD.…”

Section: Introductionmentioning

confidence: 99%

Development of Economical Asic for PCS for Water Quality Monitoring

Whig

Ahmad

2014

J CIRCUIT SYST COMP

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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°o w injection analysis method of determining chemical oxygen demand (COD)-like complex designing, nonlinearity and long computation time. The system constitutes a signi¯cant 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°uctuation of O 2 in°uences 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°uctuations 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.

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“…Fuzzy inference engine (FIS) using inference method maps the fuzzy sets in the input space to the output space using fuzzy logic. Fusilier and defuzzifier transform the input variables to the fuzzy sets and vice versa respectively [16]. Fuzzy Rule Base implementation requires first defining the linguistic variables [9,10].…”

Section: Fuzzy Implementationsmentioning

confidence: 99%

Fuzzy Logic Implementation of Photo Catalytic Sensor

Whig¹

2017

IRATJ

Self Cite

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This paper presents novel method to control output error of the Photo Catalytic Sensor (PCS) using fuzzy interface. Whig and Ahmad in 2014, proposed the spice model of PCS which is a type of ion sensitive FET and very useful to estimate the parameter BOD (Biological Oxygen Demand) which is generally used to estimate quality of water. PCS can also be used to calculate the amount of concentration level of oxygen required to purify the polluted air and sanitization of surface. The purpose to control the output error due to variation in temperature is due to the fact that the fluctuation of O2 influence the threshold voltage, which is internal parameter of FET can manifest itself as a voltage signal at output but as a function of trans conductance gain. Hence, a system controlled by fuzzy logic which controls the output error is proposed. This novel method is very useful because of their simplicity, robustness and successful practical applications. The proposed system is relies on the fast operation of PCS which operates under sub-threshold conditions and reduced computation time. The system is more users friendly and the outcomes of simulation are fairly in agreement with the theoretical estimation.

show abstract

On the Performance of ISFET-based Device for Water Quality Monitoring

Cited by 16 publications

References 20 publications

Controlling the Output Error for Photo Catalytic Sensor (PCS) Using Fuzzy Logic

Controlling the Output Error for Photo Catalytic Sensor (PCS) Using Fuzzy Logic

Development of Economical Asic for PCS for Water Quality Monitoring

Fuzzy Logic Implementation of Photo Catalytic Sensor

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