Fundamentals of biosensors in healthcare. Volume 1 /
Fundamentals of Biosensors in Healthcare: Volume One provides comprehensive coverage on fundamentals while also delving into the diverse types of biosensors used in healthcare. This first of three volumes covers biosensors in healthcare and explains the history, classifications, and fundamentals of...
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| Інші автори: | , , |
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| Формат: | Електронний ресурс eКнига |
| Мова: | Англійська |
| Опубліковано: |
London, United Kingdom ; San Diego, CA, United States ; Cambridge, MA, United States :
Elsevier, Academic Press, an Imprint of Elsevier,
[2025]
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| Предмети: | |
| Онлайн доступ: | ScienceDirect |
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Зміст:
- Front Cover
- FUNDAMENTALS OF BIOSENSORS IN HEALTHCARE
- FUNDAMENTALS OF BIOSENSORS IN HEALTHCARE
- Copyright
- Contents
- Contributors
- Preface
- 1
- Biosensors: History and classifications
- 1. Introduction
- 2. Historical development
- 3. Classification of biosensors
- 3.1 Signal transduction perspective
- 3.1.1 Electrochemical biosensor
- 3.1.2 Optical biosensor
- 3.1.3 Piezoelectric biosensor
- 3.1.4 Thermal biosensors
- 3.2 Biological recognition view
- 3.2.1 Enzyme based biosensor
- 3.2.2 Antibody/antigen-based biosensors
- 3.2.3 Nucleic acid-based biosensors
- 3.3 Based on applications
- 3.3.1 In food industry
- 3.3.2 In medical field
- 3.3.3 In agriculture field
- 4. Future perspective and challenges
- 5. Conclusion
- References
- 2
- Fundamentals of biosensing
- 1. Definition and significance of biosensors
- 1.1 What is a biosensor?
- 1.2 Importance of biosensors
- 1.3 Examples of common biosensors: Fig. 2.2
- 1.4 Historical perspective
- 1.4.1 Early versus modern biosensors: A journey of advancements and challenges
- 1.5 Applications and potential
- 1.5.1 Diverse applications of biosensors
- 1.5.2 Future prospects and emerging trends in biosensing
- 2. Building blocks of a biosensor
- 2.1 Bioreceptor element
- 2.2 Transducer
- 2.2.1 Performance characteristics of transducers (e.g., sensitivity, selectivity)
- 3. Conversion of biochemical signal into a measurable physical signal: Fig. 2.15
- 3.1 Signal processing and output
- 3.1.1 Amplification and conditioning of the transduced signal
- 3.2 Data analysis and interpretation
- 3.2.1 Data analysis and interpretation of biosensor signals: Unveiling the hidden language of biology
- 3.3 Output formats and display mechanisms for biosensor signals
- 4. Types of biosensors
- 4.1 Classification based on transducers.
- 4.1.1 Electrochemical biosensors: A powerful tool
- 4.1.1.1 Optical biosensors
- 4.1.2 Common types of optical biosensors
- 4.1.2.1 Gravimetric biosensors
- 4.1.2.2 Thermal biosensors
- 4.1.3 Temperature sensors in thermal biosensors
- 4.1.4 Beyond thermistors: Exploring alternative transducers
- 4.1.5 MEMS and the future of thermal biosensing
- 4.1.5.1 Electronic biosensors
- 4.1.5.2 Acoustic biosensors
- 4.2 Classification based on bioreceptor
- 4.2.1 Examples of bioreceptor-based biosensors
- 4.3 Nanoparticle-based biosensors
- 5. Performance characteristics and optimization
- 5.1 Sensitivity and specificity
- 5.1.1 Understanding the trade-off
- 5.1.2 Additional performance metrics
- 5.2 Limit of detection and dynamic range
- 5.2.1 Optimization strategies
- 5.2.2 Real-world implications
- 5.2.3 Demystifying limit of detection and dynamic range
- 5.3 Repeatability and reproducibility
- 6. Factors affecting repeatability and reproducibility
- 6.1 Response time and stability
- 7. Long-term stability and shelf life of biosensors
- 8. Challenges and future directions
- 8.1 Miniaturization and integration
- 9. Miniaturization and integration: Challenges and future directions in microfluidic biosensors
- 9.1 Multianalyte detection and multiplexing
- 10. Multianalyte detection and multiplexing: Unveiling the symphony of biomarkers
- 10.1 Biocompatibility and reliability
- 11. Biocompatibility and reliability: The Achilles' heel of biosensors
- 12. Conclusion
- 12.1 Summary of key concepts
- 13. Summary of key concepts: Significance of biosensors and their potential impact on various fields
- 13.1 Future outlook
- 14. Future outlook: Navigating the ethical landscape of biosensor technology
- References
- 3
- Biosensor-signal transducers
- 1. Introduction
- 2. Electrochemical signal transducers.
- 2.1 Amperometric signal transducers
- 2.2 Potentiometric signal transducers
- 2.3 Impedance signal transducer
- 2.4 Conductometry signal transducer
- 3. Optical signal transducers
- 4. Colorimetric sensors
- 4.1 Graphene derivatives colorimetric sensors
- 4.2 Metal and its oxide nanoparticles colorimetric sensors
- 4.3 Metal nanoparticles surface plasmon resonance
- 4.4 DNA nanomaterial built colorimetric sensors
- 5. Semiconductor-based signal transducers
- 5.1 The theory and technical use of semiconductors
- 6. Mass sensitive signal transducers
- 6.1 The piezoelectric effect devices
- 6.2 Chemical sensing and quartz crystal microbalances devices
- 6.3 Surface acoustic wave signal transducers
- 6.4 Film bulk acoustic sensor
- 6.5 Microcantilevers systems
- 6.6 Capacitive microtechnology ultra-sonic signal transducer
- 7. Temperature transducers/pyroelectric signal transducers/calorimetric
- 7.1 Resistive temperature signal transducers
- 7.2 Thermistor
- 7.3 Enzymatic thermal sensors
- 7.4 Thermistor-based enzymatic sensors
- 8. Nano technological methods for signal transduction
- References
- 4
- Chemical biosensors
- 1. Introduction
- 2. Composition of chemical biosensors
- 3. Types of chemical biosensors
- 4. Enzymatic chemical sensors
- 5. Nucleic acid in chemical sensors
- 6. Nanomaterial based chemical sensors
- 7. Microbial biosensors
- 8. Electrochemical bio sensors
- 9. Types of electrochemical bio sensors
- 10. Amperometric biosensor
- 11. Voltammetric
- 12. Impedimetric biosensor
- 13. Potentiometric biosensors
- 14. Organic electrochemical transistor biosensors
- 15. Electrochemiluminescence biosensors
- 16. Application of chemical biosensors in health care
- 16.1 In detecting the glucose level of diabetic patients
- 16.2 In detection of urinary tract infection.
- 16.3 Cardiovascular diseases and heart failure
- 16.4 To monitor the level of enzymes in cancer patients
- 16.5 In drug discovery program
- 16.6 In surgeries
- 16.7 To detect neurotransmitters
- 16.8 Monitoring of biomarkers in saliva
- 16.9 Real time monitoring of sweat
- 16.10 In analysis of brain tissues
- 17. Other application of chemical biosensors
- 18. Food industry
- 19. Defense
- 20. Metabolic engineering and plant biology
- 21. Advantage and disadvantage of chemical biosensors
- 22. Advantages
- 23. Disadvantages
- 24. Future scope
- 25. Conclusion
- References
- 5
- Temperature biosensors
- 1. Introduction
- 1.1 Importance of temperature sensing in biosensing
- 1.2 Overview of temperature biosensors
- 1.3 Scope and objectives
- 2. Principles of temperature biosensors
- 2.1 Thermoresistive sensors
- 2.1.1 Resistance temperature detectors
- 2.1.2 Thermistors
- 2.2 Thermoelectric sensors
- 2.2.1 Thermocouples
- 2.2.2 Seebeck effect-based sensors
- 2.3 Optical sensors
- 2.3.1 Fluorescence-based sensors
- 2.3.2 Surface plasmon resonance sensors
- 2.4 Nanomaterial-based sensors
- 2.4.1 Carbon nanotubes
- 2.4.2 Graphene-based sensors
- 2.4.3 Quantum dots
- 2.5 Comparison of sensing mechanisms
- 3. Types of temperature biosensors
- 3.1 Thermoresistive biosensors
- 3.1.1 Resistance temperature detectors
- 3.1.2 Thermistors
- 3.2 Thermoelectric biosensors
- 3.2.1 Thermocouples
- 3.2.2 Seebeck effect-based sensors
- 3.3 Optical biosensors
- 3.3.1 Fluorescence-based sensors
- 3.3.2 Surface plasmon resonance sensors
- 3.4 Nanomaterial-based biosensors
- 3.4.1 Carbon nanotubes
- 3.4.2 Graphene-based sensors
- 3.4.3 Quantum dots
- 3.5 Emerging technologies and hybrid sensors
- 4. Applications of temperature biosensors
- 4.1 Healthcare and medical diagnostics
- 4.2 Food safety and quality control.
- 4.3 Environmental monitoring
- 4.4 Industrial process control
- 4.5 Biotechnology and research applications
- 5. Advantages and limitations of temperature biosensors
- 5.1 Advantages
- 5.2 Limitations
- 5.3 Challenges and opportunities
- 6. Recent advances and future prospects
- 6.1 Miniaturization and integration
- 6.2 Wireless and wearable temperature biosensors
- 6.3 Point-of-care testing devices
- 6.4 Enhanced sensing performance through nanotechnology
- 6.5 Biocompatible and biodegradable materials
- 6.6 Artificial intelligence and data analytics integration
- 7. Instrumentation for temperature biosensors
- 7.1 Introduction
- 7.1.1 Principles of temperature measurement
- 7.2 Technologies for temperature biosensor instrumentation
- 7.2.1 Analog signal conditioning
- 7.2.2 Digital signal processing
- 7.2.3 Microcontroller-based systems
- 7.2.4 Wireless sensor networks
- 7.3 Instrumentation interfaces and communication protocols
- 7.3.1 Analog interfaces
- 7.3.2 Digital interfaces
- 7.3.3 Wireless communication
- 7.4 Recent advances and future prospects
- 7.4.1 Advanced sensor fusion techniques
- 7.4.2 Internet of Things integration
- 7.4.3 Artificial intelligence and machine learning
- 7.4.4 Edge computing and edge analytics
- 8. Materials and methods used in temperature biosensors
- 8.1 Introduction to materials and methods in temperature biosensors
- 8.2 Materials for temperature biosensors
- 8.2.1 Metals
- 8.2.2 Semiconductors
- 8.2.3 Polymers
- 8.2.4 Nanomaterials
- 8.3 Fabrication methods for temperature biosensors
- 8.3.1 Thin-film deposition
- 8.3.2 Microfabrication
- 8.3.3 Additive manufacturing
- 8.4 Sensing mechanisms in temperature biosensors
- 8.4.1 Resistance-based sensing
- 8.4.2 Voltage-based sensing
- 8.4.3 Optical sensing
- 8.5 Performance optimization strategies.