Sensing Technologies for Real Time Monitoring of Water Quality

Name: Sensing Technologies for Real Time Monitoring of Water Quality
Brand: Wiley
Price: 103.99 EUR
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Libu Manjakkal Leandro Lorenzelli Magnus Willander(Herausgeber*in)

Wiley (Verlag)

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Erschienen am 4. August 2023

384 Seiten

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978-1-119-77582-9 (ISBN)

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Inhalt

Cover
Title Page
Copyright Page
Contents
About the Editors
List of Contributors
Preface
Section I Materials and Sensors Development Including Case Study
Chapter 1 Smart Sensors for Monitoring pH, Dissolved Oxygen, Electrical Conductivity, and Temperature in Water
1.1 Introduction
1.2 Water Quality Parameters and Their Importance
1.2.1 Impact of pH on Water Quality
1.2.2 Impact of Dissolved Oxygen on Water Quality
1.2.3 Impact of Electrical Conductivity on Water Quality
1.2.4 Impact of Temperature on Water Quality
1.3 Water Quality Sensors
1.3.1 pH
1.3.2 Dissolved Oxygen
1.3.3 Electrical Conductivity
1.3.4 Temperature
1.4 Smart Sensors
1.5 Conclusion
Acknowledgment
References
Chapter 2 Dissolved Heavy Metal Ions Monitoring Sensors for Water Quality Analysis
2.1 Introduction
2.2 Sources and Effects of Heavy Metals
2.3 Detection Techniques
2.3.1 Analytical Detection: Conventional Detection Techniques of Heavy Metals
2.3.2 Electrochemical Detection Techniques of Heavy Metals
2.3.3 Biomolecules Modification for Heavy Metal Detection
2.4 Future Direction
2.5 Conclusions
Acknowledgment
References
Chapter 3 Ammonia, Nitrate, and Urea Sensors in Aquatic Environments
3.1 Introduction
3.2 Detection Techniques for Ammonia, Nitrate, and Urea in Water
3.2.1 Spectrophotometry
3.2.2 Fluorometry
3.2.3 Electrochemical Sensors
3.3 Ammonia
3.3.1 Ammonia in Aquatic Environments
3.3.2 Ammonia Detection Techniques
3.4 Nitrate
3.4.1 Nitrate in Aquatic Environments
3.4.2 Nitrate Detection Techniques
3.5 Urea
3.5.1 Urea in Aquatic Environment
3.5.2 Urea Detection Techniques
3.6 Conclusion and Future Perspectives
Acknowledgment
References
Chapter 4 Monitoring of Pesticides Presence in Aqueous Environment
4.1 Introduction: Background on Pesticides
4.1.1 Types and Properties
4.1.2 Risks
4.1.3 Regulation and Legislation
4.1.4 Occurrence of Pesticide Exceedance
4.2 Current Pesticides Detection Methods
4.2.1 Detection of Pesticides Based on Electrochemical Methods
4.2.2 Detection of Pesticides Based on Optical Methods
4.2.3 Detection of Pesticides Based on Raman Spectroscopy
4.3 Conclusion
Acknowledgments
References
Chapter 5 Waterborne Bacteria Detection Based on Electrochemical Transducer
5.1 Introduction
5.2 Typical Waterborne Pathogens
5.3 Traditional Diagnostic Tools
5.4 Biosensors for Bacteria Detection in Water
5.4.1 Common Bioreceptors for Electrochemical Sensing of Foodborne and Waterborne Pathogenic Bacteria
5.4.2 Nanomaterials for Electrochemical Sensing of Waterborne Pathogenic Bacteria
5.5 Various Electrochemical Biosensors Available for Pathogenic Bacteria Detection in Water
5.5.1 Amperometric Detection
5.5.2 Impedimetric Detection
5.5.3 Conductometric Detection
5.5.4 Potentiometric Detection
5.6 Conclusion and Future Prospective
Acknowledgments
References
Chapter 6 Zinc Oxide-Based Miniature Sensor Networks for Continuous Monitoring of Aqueous pH in Smart Agriculture
6.1 Introduction
6.2 Metal Oxide-Based Sensors and Detection Methods
6.3 pH Sensor Fabrication
6.3.1 Detection of pH: Materials and Method
6.3.2 Detection of pH: Surface Morphology of the Nanostructured ZnO and IDEs
6.3.3 Detection of pH: Electrochemical Sensing Performance
6.3.4 Detection of Real-Time pH Level in Smart Agriculture: Wireless Sensor Networks and Embedded System
6.4 Conclusion
Acknowledgments
References
Section II Readout Electronic and Packaging
Chapter 7 Integration and Packaging for Water Monitoring Systems
7.1 Introduction
7.2 Advanced Water Quality Monitoring Systems
7.2.1 Multi-sensing on a Single Chip
7.2.2 Heterogeneous Integration
7.2.3 Case Study: MoboSens
7.3 Basics of Packaging
7.4 Hybrid Flexible Packaging
7.4.1 Interconnects
7.4.2 Thin Die Embedding
7.4.3 Encapsulation and Hermeticity
7.4.4 Roll to Roll Assembly
7.5 Conclusion
References
Chapter 8 A Survey on Transmit and Receive Circuits in Underwater Communication for Sensor Nodes
8.1 Introduction
8.2 Sensor Networks in an Underwater Environment
8.2.1 Acoustic Sensor Network
8.2.2 Electromagnetic (EM) Waves Underwater Sensors
8.3 Conclusion
Acknowledgment
References
Section III Sensing Data Assessment and Deployment Including Extreme Environment and Advanced Pollutants
Chapter 9 An Introduction to Microplastics, and Its Sampling Processes and Assessment Techniques
9.1 Introduction
9.1.1 Properties of Microplastics
9.1.2 Microplastics in Food Chain
9.1.3 Human Consumption of Microplastics and Possible Health Effects
9.1.4 Overview
9.2 Microplastic Sampling Tools
9.2.1 Non-Discrete Sampling Devices
9.2.2 Discrete Sampling Devices
9.2.3 Surface Microlayer Sampling Devices
9.3 Microplastics Separation
9.3.1 Separating Microplastics from Liquid Samples
9.3.2 Separating Microplastics from Sediments
9.4 Microplastic Sample Digestion Process
9.4.1 Acidic Digestion
9.4.2 Alkaline Digestion
9.4.3 Oxidizing Digestion
9.4.4 Enzymatic Degradation
9.5 Microplastic Identification and Classification
9.5.1 Visual Counting
9.5.2 Fluorescence
9.5.3 Destructive Analysis
9.5.4 Nondestructive Analysis
9.6 Conclusions
Acknowledgments
References
Chapter 10 Advancements in Drone Applications for Water Quality Monitoring and the Need for Multispectral and Multi-Sensor Approaches
10.1 Introduction
10.2 Airborne Drones for Environmental Remote Sensing
10.3 Drone Multispectral Remote Sensing
10.4 Integrating Multiple Complementary Sensor Strategies with a Single Drone
10.5 Conclusion
Acknowledgment
References
Chapter 11 Sensors for Water Quality Assessment in Extreme Environmental Conditions
11.1 Introduction
11.2 Physical Parameters
11.2.1 Electrical Conductivity
11.2.2 Temperature
11.2.3 Pressure
11.3 Chemical Parameters
11.3.1 pH
11.3.2 Dissolved Oxygen and Chemical Oxygen Demand
11.3.3 Inorganic Content
11.4 Biological Parameters
11.5 Sensing in Extreme Water Environments
11.6 Discussion and Outlook
11.7 Conclusion
References
Section IV Sensing Data Analysis and Internet of Things with a Case Study
Chapter 12 Toward Real-Time Water Quality Monitoring Using Wireless Sensor Networks
12.1 Introduction
12.2 Water Quality Monitoring Systems
12.2.1 Laboratory-Based WQM (LB-WQM)
12.2.2 Wireless Sensor Networks-Based WQM (WSNs-WQM)
12.3 The Use of Industry 4.0 Technologies for Real-Time WQM
12.4 Conclusion
References
Chapter 13 An Internet of Things-Enabled System for Monitoring Multiple Water Quality Parameters
13.1 Introduction
13.2 Water Quality Parameters and Related Sensors
13.3 Design and Fabrication of the Proposed Sensor
13.3.1 Sensor's Working Principle
13.4 Experimental Process
13.5 Autonomous System Development
13.5.1 Algorithm for Data Classification
13.6 Experimental Results
13.6.1 Sensor Characterization for Temperature, pH, Nitrate, Phosphate, Calcium, and Magnesium Measurement
13.6.2 Repeatability
13.6.3 Reproducibility
13.6.4 Real Sample Measurement and Validation
13.6.5 Data Collection
13.6.6 Power Consumption
13.7 Conclusion
Acknowledgment
References
Index
IEEE Press Series on Sensors
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