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Sensors for Marine Biosciences : Next-Generation Sensing Approaches.
- Format:
- Book
- Author/Creator:
- Pandey, Shyam S.
- Series:
- IOP Series in Sensors and Sensor Systems Series
- Language:
- English
- Physical Description:
- 1 online resource (284 pages)
- Edition:
- 1st ed.
- Place of Publication:
- Bristol : Institute of Physics Publishing, 2025.
- Summary:
- The book explores cutting-edge sensor technologies for marine biosciences, emphasizing their applications in pollution monitoring, pathogen detection, and ecosystem sustainability.
- Contents:
- Intro
- Acknowledgements
- Editor biographies
- Shyam S Pandey
- Rout George Kerry
- Kshitij RB Singh
- List of contributors
- Chapter Introduction to sensor in marine bioscience
- 1.1 Introduction
- 1.1.1 Fluorescent-based biosensors
- 1.1.2 Bioluminescent biosensor
- 1.1.3 Sodium channel-based biosensors
- 1.1.4 Enzyme inhibition-based biosensors
- 1.1.5 Aptamer-based biosensors
- 1.2 Benefits of microbial biosensors in the marine environments
- 1.2.1 Trace metals
- 1.2.2 Food safety
- 1.3 Recent advances in biosensor
- 1.4 Conclusion
- References
- Chapter Sensors for monitoring global deposition of pollutants in aquatic ecosystems
- 2.1 Introduction
- 2.1.1 Importance of monitoring aquatic ecosystems
- 2.1.2 Global significance of pollutant deposition
- 2.1.3 Role of sensors in environmental monitoring
- 2.2 Overview of pollutants and their impacts on aquatic ecosystems
- 2.2.1 Heavy metals
- 2.2.2 Agrochemicals
- 2.2.3 Nutrients
- 2.2.4 Sewage
- 2.2.5 Environmental impact of pollutant deposition
- 2.3 Need for real-time monitoring
- 2.3.1 Limitations of conventional sampling methods
- 2.3.2 Advantages of real-time monitoring
- 2.3.3 Case studies highlighting the importance of timely data
- 2.4 Sensor technologies for aquatic pollutant monitoring
- 2.4.1 Overview of sensor technologies
- 2.4.2 Selection criteria for sensor types
- 2.4.3 Emerging technologies
- 2.5 Design and operation of monitoring networks
- 2.5.1 Considerations for sensor placement
- 2.5.2 Establishing reliable communication networks
- 2.5.3 Data management and quality control
- 2.6 Chemical biosensor
- 2.6.1 Electrochemical sensors for metal ions detection
- 2.6.2 Optical sensors for organic pollutants
- 2.7 Physical sensors
- 2.7.1 pH sensors
- 2.7.2 Temperature sensors
- 2.7.3 Dissolved oxygen sensors.
- 2.7.4 Turbidity and suspended solid measurement
- 2.8 Biological sensors
- 2.8.1 Algal bioindicators for water quality assessment
- 2.8.2 Microbial sensors for detecting pollution indicators
- 2.8.3 Fish and invertebrate behavior as a pollution indicators
- 2.9 Remote sensing and GIS applications
- 2.9.1 Satellite-based monitoring of aquatic ecosystems
- 2.9.2 Geographic information systems (GIS) in pollutant mapping
- 2.9.3 Combining remote sensing data with sensor networks
- 2.10 Advanced data tools and techniques for monitoring aquatic ecosystems
- 2.10.1 Real-time data visualization and analysis tools
- 2.10.2 Statistical approaches for identifying trends and anomalies
- 2.10.3 Integration of multiple sensor data streams
- 2.11 Case studies and application
- 2.11.1 Global initiatives for aquatic pollutant monitoring
- 2.11.2 Regional studies highlighting sensor success
- 2.11.3 Industry and regulatory applications of monitoring data
- 2.12 Challenges and future directions
- 2.12.1 Calibration and maintenance of sensor networks
- 2.12.2 Maintenance
- 2.12.3 Addressing sensor drift and cross-sensitivity
- 2.13 Conclusion
- 2.13.1 Significance of sensor-based monitoring for environment protection
- 2.13.2 Collaborative efforts in global aquatic ecosystem monitoring
- Chapter Sensors for detection of marine organic and inorganic pollutants
- 3.1 Introduction
- 3.2 Role of chemical/biosensors
- 3.3 Types of sensors used for water monitoring
- 3.3.1 Spaceborne sensors
- 3.3.2 Optical sensor
- 3.3.3 Magnetic sensors
- 3.3.4 Electrochemical sensors
- 3.3.5 Chip sensors
- 3.3.6 Remote sensing and GSI
- 3.4 Detection of marine pollutants
- 3.4.1 Methane
- 3.4.2 Radon
- 3.4.3 Carbon dioxide
- 3.4.4 Marine microorganism
- 3.4.5 Other marine pollutants
- 3.4.6 Detecting marine nutrients
- 3.5 Conclusions.
- References
- Chapter Polymeric matrix-based biosensors for the detection of pollutants in the marine ecosystem
- 4.1 Introduction
- 4.1.1 Pollutants that should be avoided for marine waters to have a healthy environment
- 4.2 Methods used to detect pollutants in marine waters
- 4.3 Polymeric matrix-based biosensors for marine determinants
- 4.4 Conclusions
- 4.5 Challenges and future perspectives
- Chapter Remote sensing and satellite biological sensors for sustainability of the marine ecosystem
- 5.1 Introduction
- 5.2 Satellite remote sensing technology on the marine ecosystem
- 5.3 Important parameters used in monitoring of marine ecosystem health
- 5.3.1 Ocean color
- 5.3.2 Mapping studies
- 5.3.3 Determination of physical parameters and oil spills
- 5.4 Some of the limitations of remote sensing
- 5.5 Satellite remote sensor applications for environment safety
- 5.6 Determination of valuable ocean parameters via ocean color sensing
- 5.7 Conclusion and prospects
- Chapter Artificial intelligence-, machine learning- and Internet of Things-based sensors for detection of marine pollutants
- 6.1 Introduction
- 6.2 Fundamentals of AI
- 6.2.1 Definition and concept
- 6.2.2 Types of AI
- 6.2.3 Application of AI in pollutant monitoring
- 6.3 Machine learning
- 6.3.1 Supervised learning
- 6.3.2 Unsupervised learning
- 6.3.3 Reinforcement learning
- 6.3.4 Ensemble learning
- 6.3.5 Hybrid approaches
- 6.4 IoT sensors
- 6.4.1 Introduction of IoT-based sensors
- 6.4.2 Types of IOT sensors for marine pollution detection
- 6.4.3 Data analysis and visualization for marine pollution assessment
- 6.5 Integration of AI, ML and IoT sensors
- 6.5.1 Data preprocessing and feature extraction
- 6.5.2 Training and testing dataset
- 6.5.3 Model selection and optimization
- 6.6 Case studies.
- 6.6.1 Application of AI, ML and IOT in remote and in situ sensor systems for oil spill response
- 6.6.2 Detection of harmful algal bloom using AI, ML and IoT sensors
- 6.6.3 Monitoring heavy metal ion concentration in marine ecosystems
- 6.7 Future direction and challenges
- 6.8 Conclusion
- Chapter Biosensor-based detection of major aquatic pathogens in the marine ecosystem
- 7.1 Introduction
- 7.2 Marine ecosystem and causes of pollution
- 7.2.1 Agrochemicals
- 7.2.2 Emerging pollutants and heavy metals
- 7.2.3 Sewage and oil spills
- 7.3 Types of marine pollutants
- 7.3.1 Protozoan organisms
- 7.3.2 Bacterial organisms
- 7.3.3 Parasites
- 7.3.4 Viruses
- 7.3.5 Fungal zoonotic agent
- 7.4 Technique for the detection of pathogenic microbes in the marine ecosystem
- 7.5 Marine pollutants have ill effects on aquatic and human life
- 7.6 Conclusion and prospects
- Chapter Advancement of sensors in preservation and packaging of marine products
- 8.1 Introduction
- 8.1.1 Sensors
- 8.1.2 Indicators
- 8.2 Intelligent packaging based on sensors
- 8.2.1 Oxygen- and carbon dioxide-based sensors
- 8.2.2 Sensors based on pH changes and specific chemicals
- 8.2.3 Sensors based on humidity
- 8.2.4 Sensors based on time and temperature (TTI)
- 8.2.5 Characteristics of optical sensors and others
- 8.3 Conclusion and prospects
- Chapter Nucleic acid-based biosensor for detection of infectious pathogens in marine products
- 9.1 Introduction
- 9.2 Critical role of marine products in foodborne poisoning
- 9.3 Pathogens of major concern
- 9.3.1 Norovirus
- 9.3.2 Vibrio spp.
- 9.3.3 Salmonella
- 9.4 Pathogens of minor concern
- 9.4.1 Hepatitis A virus
- 9.4.2 Listeria monocytogenes
- 9.4.3 Shigella spp.
- 9.4.4 Clostridium botulinum
- 9.4.5 Staphylococcus aureus.
- 9.5 Traditional method for detection of pathogens in marine products
- 9.6 Nucleic acid-based method of detection of seafood pathogens
- 9.7 Drawbacks of using traditional nucleic acid-based detection method
- 9.8 Nucleic acid-based biosensor for seafood pathogen detection
- 9.9 Optical biosensor
- 9.9.1 Surface-enhanced Raman spectroscopy (SERS) biosensors
- 9.9.2 Fluorescence-based biosensor
- 9.9.3 Chemiluminescence-based sensor
- 9.10 Colorimetric based biosensor
- 9.11 Electrochemical biosensor
- 9.12 Piezoelectric biosensor
- 9.13 Conclusion and prospects
- Chapter Proteomics and genomics-based innovation in biosensors for marine biology
- 10.1 Introduction
- 10.2 Various strategies for marine measurements
- 10.2.1 Key factors influencing measurements
- 10.3 Role of biosensors in marine biology
- 10.3.1 Sensors for detecting methane (CH4)
- 10.3.2 Ferrous ion (Fe2+) sensors
- 10.3.3 Sensors for detecting marine microorganisms
- 10.3.4 Sensors for carbon dioxide (CO2)
- 10.3.5 Sensors for seafood
- 10.3.6 Sensors for detection of marine pollutants
- 10.3.7 Sensors for detecting marine nutrients
- 10.4 Role of proteomics and genomics-based biosensors in marine biology
- 10.4.1 Genomics based biosensors
- 10.4.2 Proteomics based biosensors
- 10.5 Challenges and future directions
- 10.6 Conclusion
- Acknowledgments
- Chapter Commercial aspect of sensors in marine biosciences and its future prospects
- 11.1 Introduction
- 11.2 Classification of biosensors
- 11.2.1 Luminous microorganism biological detectors
- 11.2.2 Biologically luminescent microbiosensors
- 11.2.3 Sodium channel-based biological detectors
- 11.2.4 Biological detectors designed around enzyme inhibition
- 11.2.5 Methane (CH4) monitoring devices
- 11.2.6 Radon (RN) detection sensors.
- 11.2.7 Sensors for ferrous ions (FE2+).
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 9780750360012
- 0750360011
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