Intelligent ISFET sensory system for water quality monitoring

This thesis presents a new intelligent ISFET sensory system dedicated to a precision pH sensory function as well as long-term monitoring capability without being jeopardized by temperature and drift fluctuations in the water-quality monitoring environment. The research leads to the information of a...

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Main Author: Chen, Deyu
Other Authors: Chan Pak Kwong
Format: Theses and Dissertations
Language:English
Published: 2009
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Online Access:https://hdl.handle.net/10356/18689
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-186892023-07-04T16:49:21Z Intelligent ISFET sensory system for water quality monitoring Chen, Deyu Chan Pak Kwong School of Electrical and Electronic Engineering Centre for Integrated Circuits and Systems DRNTU::Engineering::Electrical and electronic engineering::Applications of electronics This thesis presents a new intelligent ISFET sensory system dedicated to a precision pH sensory function as well as long-term monitoring capability without being jeopardized by temperature and drift fluctuations in the water-quality monitoring environment. The research leads to the information of a new ISFET behavior-SPICE model for ISFET sensor simulation, a new non-saturation based ISFET interface circuit, a new saturation-based ISFET interface circuit, a novel ISFET nonlinear temperature compensation method, a novel ISFET drift and slow pH response compensation method, a new dynamic current mirror for use in temperature compensation and a microcontroller-based ISFET sensory system that realizes the proposed temperature and drift compensation technique for precision pH sensing in long-term monitoring at different temperatures. The ISFET interface circuit has been fabricated in TSMC CMOS 0.25 µm process technology. The Si3N4-gate ISFET sensor is based on the D+T Microelectrónica, A.I.E (CNM), Spain. The proposed intelligent ISFET sensory system, including the sensor, interface IC, microcontroller and support circuits, has been validated by the experiments at a single 3.3V supply. It exhibits a maximum accuracy error of 0.02 pH at 23oC and 0.05 pH at 40oC with dual compensation. The compensation results show a maximum time drift of 0.003 pH/hour (0.166 mV/hour) at 23oC and an average temperature drift of 0.00049 pH/hour/oC (0.0245 mV/hour/ oC) for a reference temperature increase from 23oC to 40oC, with the value of the pH solution ranging from 4 to 9 in six-hourly measurements. These measured results outperform those of the reported drift reduction techniques, suggesting that the ISFET sensory system using novel compensation is able to provide significant immunity against temperature change, time drift and temperature drift, which are favorable towards robust measurements in environmental monitoring applications. DOCTOR OF PHILOSOPHY (EEE) 2009-07-02T08:19:05Z 2009-07-02T08:19:05Z 2009 2009 Thesis Chen, D. (2009). Intelligent ISFET sensory system for water quality monitoring. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/18689 10.32657/10356/18689 en 200 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering::Applications of electronics
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Applications of electronics
Chen, Deyu
Intelligent ISFET sensory system for water quality monitoring
description This thesis presents a new intelligent ISFET sensory system dedicated to a precision pH sensory function as well as long-term monitoring capability without being jeopardized by temperature and drift fluctuations in the water-quality monitoring environment. The research leads to the information of a new ISFET behavior-SPICE model for ISFET sensor simulation, a new non-saturation based ISFET interface circuit, a new saturation-based ISFET interface circuit, a novel ISFET nonlinear temperature compensation method, a novel ISFET drift and slow pH response compensation method, a new dynamic current mirror for use in temperature compensation and a microcontroller-based ISFET sensory system that realizes the proposed temperature and drift compensation technique for precision pH sensing in long-term monitoring at different temperatures. The ISFET interface circuit has been fabricated in TSMC CMOS 0.25 µm process technology. The Si3N4-gate ISFET sensor is based on the D+T Microelectrónica, A.I.E (CNM), Spain. The proposed intelligent ISFET sensory system, including the sensor, interface IC, microcontroller and support circuits, has been validated by the experiments at a single 3.3V supply. It exhibits a maximum accuracy error of 0.02 pH at 23oC and 0.05 pH at 40oC with dual compensation. The compensation results show a maximum time drift of 0.003 pH/hour (0.166 mV/hour) at 23oC and an average temperature drift of 0.00049 pH/hour/oC (0.0245 mV/hour/ oC) for a reference temperature increase from 23oC to 40oC, with the value of the pH solution ranging from 4 to 9 in six-hourly measurements. These measured results outperform those of the reported drift reduction techniques, suggesting that the ISFET sensory system using novel compensation is able to provide significant immunity against temperature change, time drift and temperature drift, which are favorable towards robust measurements in environmental monitoring applications.
author2 Chan Pak Kwong
author_facet Chan Pak Kwong
Chen, Deyu
format Theses and Dissertations
author Chen, Deyu
author_sort Chen, Deyu
title Intelligent ISFET sensory system for water quality monitoring
title_short Intelligent ISFET sensory system for water quality monitoring
title_full Intelligent ISFET sensory system for water quality monitoring
title_fullStr Intelligent ISFET sensory system for water quality monitoring
title_full_unstemmed Intelligent ISFET sensory system for water quality monitoring
title_sort intelligent isfet sensory system for water quality monitoring
publishDate 2009
url https://hdl.handle.net/10356/18689
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