Smart and Intelligent Nanostructured Materials for Next-Generation Biosensors
- 1st Edition - November 22, 2024
- Imprint: Elsevier
- Editors: Bansi D. Malhotra, Ravindra Pratap Singh, Jay Singh, Kshitij RB Singh
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 1 9 1 4 6 - 6
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 1 9 1 4 7 - 3
Smart and Intelligent Nanostructured Materials for Next-Generation Biosensors provides an up-to-date review of biosensor development and applications, with a focus on incorpora… Read more
Purchase options
Institutional subscription on ScienceDirect
Request a sales quoteSmart and Intelligent Nanostructured Materials for Next-Generation Biosensors provides an up-to-date review of biosensor development and applications, with a focus on incorporating smart and intelligent nanomaterials for improved outcomes. The book covers a range of smart and intelligent nanomaterials for use in biosensors, including two popular classes: MXenes and carbon-based nanomaterials. Later chapters explore a variety of biosensor applications, such as in biomedicine, agriculture, and environment. This book is a useful reference for materials scientists, biomedical engineers, analytical and biochemists with an interest in smart/intelligent nanomaterials for biosensors.
- Details the properties, characterization, and synthesis of smart and intelligent nanomaterials for use in biosensor technology
- Explores the potential of MXenes and other carbon-based nanomaterials for application in biosensors
- Covers a range of biosensor applications, including biomedical, agricultural, environmental, and in the food industry
Researchers and postgraduate students in the fields of nanotechnology, materials science and biomedical engineering
- Title of Book
- Cover image
- Title page
- Table of Contents
- Copyright
- Dedication
- Contributors
- Editor Biographies
- Preface
- Chapter 1. Introduction to smart and intelligent nanomaterials for biosensors
- 1.1 Introduction
- 1.2 Properties of smart and intelligent nanomaterials
- 1.2.1 High surface area
- 1.2.2 High intrinsic mobility
- 1.2.3 Flexibility
- 1.2.4 High mechanical stability
- 1.2.5 Functionalization
- 1.2.6 Semiconductor and band gap tunability
- 1.3 Classification of smart and intelligent nanomaterials
- 1.3.1 Physical stimuli-responsive nanomaterials
- 1.3.1.1 Temperature-responsive nanomaterials
- 1.3.1.2 Electrical/electrochemical-responsive nanomaterials
- 1.3.1.3 Light-responsive nanomaterials
- 1.3.1.4 Magnetic-responsive nanomaterials
- 1.3.2 Chemical stimuli-responsive nanomaterials
- 1.3.2.1 pH-responsive nanomaterials
- 1.3.2.2 Redox-responsive nanomaterials
- 1.4 Applications of smart and intelligent nanomaterials
- 1.4.1 Theragnostics
- 1.4.2 Medical diagnosis
- 1.4.3 Environmental monitoring
- 1.4.4 Food and feed monitoring
- 1.4.5 Multiomics application
- 1.5 Market trends
- 1.6 Conclusion and prospects
- Chapter 2. Physicochemical properties of smart and intelligent nanomaterials for biosensors
- 2.1 Introduction
- 2.2 Functional metal complex mediators for laccase
- 2.3 Dual mediator systems using MXene electrode
- 2.4 Summary and perspective
- Chapter 3. Classifications and functionalization of smart and intelligent nanomaterials for biosensor technology
- 3.1 Introduction
- 3.2 Chemical classifications of nanomaterials
- 3.3 Stimulus purpose classifications
- 3.4 Optical-responsive nanomaterial
- 3.5 Electrochemical-responsive nanomaterial
- 3.6 Surface functionalization for smart bio purposes
- 3.7 Covalent attachment
- 3.8 Noncovalent attachment
- 3.9 Conclusion and prospects
- Chapter 4. Synthesis and characterization of smart and intelligent nanomaterials for fabrication of biosensors
- 4.1 Introduction
- 4.2 Synthesis of smart and intelligent nanomaterials
- 4.2.1 Sol–gel method
- 4.2.2 Microwave synthesis method
- 4.2.3 Hydrothermal method
- 4.2.4 Coprecipitation method
- 4.2.5 Physical vapor deposition (PVD)
- 4.3 Characterization of smart and intelligent nanomaterials
- 4.3.1 X-ray diffraction (XRD)
- 4.3.2 Transmission electron microscopy (TEM)
- 4.3.3 Scanning electron microscopy (SEM)
- 4.3.4 Fourier transform infrared spectroscopy (FTIR)
- 4.3.5 UV-Vis spectroscopy
- 4.4 Fabrication of biosensors using smart and intelligent nanomaterials
- 4.4.1 Surface modifications
- 4.4.1.1 Modification with thiol chemistry
- 4.4.1.2 Modification with avidin–biotin interaction
- 4.4.1.3 Modification through EDC–NHS chemistry
- 4.4.2 Surface immobilization
- 4.4.2.1 Irreversible immobilization methods
- 4.4.2.2 Crosslinking
- 4.4.2.3 Entrapment or microencapsulation
- 4.4.2.4 Reversible immobilization methods
- 4.4.2.5 Chelation or metal binding
- 4.4.2.6 Disulfide bonds
- 4.5 Applications of smart and intelligent nanomaterials in biosensors
- 4.5.1 Smart nanomaterials for the sensing of glucose
- 4.5.2 Smart nanomaterials for DNA detection
- 4.5.3 Smart nanomaterials for protein analysis
- 4.6 Conclusions
- Chapter 5. Potentialities of MXenes and its hybrid composites for fabricating biosensors
- 5.1 Introduction
- 5.2 Biosensors and MXenes
- 5.2.1 Synthesizing MXene-based biosensors
- 5.2.2 MXene-based electrochemical biosensors
- 5.2.3 MXene-based optical biosensors
- 5.2.4 Chemiresistive biosensors
- 5.2.4.1 For diabetes detection
- 5.2.4.2 For cancer diagnosis
- 5.2.5 MXene-based photoelectrochemical biosensors
- 5.3 Conclusion and prospects
- 5.3.1 Prospects of MXenes in biosensing
- 5.3.1.1 MXenes and its composites in wearable and implantable biosensors
- 5.3.1.2 MXenes and their significance in the medical field
- Chapter 6. Potentialities of carbon and its hybrid composites for fabricating biosensors
- 6.1 Introduction
- 6.2 Electrochemical biosensor: Methods and parameters
- 6.3 Carbon nanomaterials for biosensing
- 6.3.1 Carbon nanoparticles (CNPs)
- 6.3.2 Carbon nanotubes (CNTs)
- 6.3.3 Graphene and its derivatives
- 6.4 Important bioanalytes
- 6.4.1 Analytes for medical sensors
- 6.4.2 Analytes for nonmedical sensors
- 6.5 Biosensors for ion detection
- 6.6 Biosensors for glucose detection
- 6.7 Cholesterol detection using carbon nanomaterials
- 6.8 Cancer detection using carbon nanomaterials
- 6.9 Detection of RNA and DNA hybridization
- 6.10 Detection of E. coli
- 6.11 Conclusions and future prospects
- Chapter 7. Utility of biosensors fabricated from smart and intelligent nanomaterials for theragnostics
- 7.1 Introduction
- 7.2 Types of smart nanomaterials
- 7.2.1 Physical responsive nanomaterials
- 7.2.2 Piezoelectric-based smart nanomaterials application
- 7.2.3 Electrochromic- and photochromic-based smart nanomaterial application
- 7.2.4 Thermal response-based smart nanomaterial application
- 7.2.5 Electro-stimuli-responsive smart nanomaterial application
- 7.2.6 Magnetic stimuli-susceptive smart nanomaterial application
- 7.3 Chemical responsive nanomaterials
- 7.3.1 pH-susceptible smart nanomaterial application
- 7.4 Biological responsive nanomaterials
- 7.4.1 Glucose-sensitive smart material application
- 7.4.2 Enzyme-sensitive-based smart nanomaterial application
- 7.5 Advances in plasmonic nanomaterials
- 7.5.1 Photo-sensitive-based smart nanomaterial application
- 7.6 Distinct platforms in the fabrication of advanced biosensors
- 7.6.1 Focused ion beam
- 7.6.2 Electrospinning/near field electrospinning
- 7.6.3 Paper-based microfluidics
- 7.6.4 Lab-on-chip
- 7.6.5 Electrochemical and microelectromechanical systems
- 7.6.6 Surface plasmon resonance
- 7.6.7 Surface-enhanced Raman scattering
- 7.6.8 Chip calorimetry
- 7.6.9 Whispering-gallery mode biosensors
- 7.7 Conclusion
- Author contributions
- Chapter 8. Recent advances in smart biosensing technology for medical diagnosis
- 8.1 Introduction
- 8.2 Electrochemical biosensors
- 8.2.1 Applications of electrochemical biosensors
- 8.3 Electromechanical biosensors
- 8.3.1 Applications of electromechanical biosensors
- 8.4 Optoelectronics-based biosensors
- 8.4.1 Applications of optoelectronics-based biosensors
- 8.5 Biocatalyst-based biosensors
- 8.5.1 Applications of biocatalyst-based biosensors
- 8.6 Nanomaterial-based biosensors
- 8.6.1 Applications of nanomaterial-based biosensors
- 8.7 Conclusions and future perspective
- Chapter 9. Nanomaterials-based biosensors for environmental applications
- 9.1 Introduction
- 9.2 Nanomaterials for biosensors
- 9.2.1 Inorganic nanostructures
- 9.2.2 Organic nanostructures
- 9.2.3 Organic–inorganic hybrid nanocomposites
- 9.3 Sensors in environmental monitoring
- 9.3.1 Water quality monitoring
- 9.3.1.1 Biosensors for monitoring of hazardous chemicals in water
- 9.3.1.2 Biosensors for monitoring heavy metals in water
- 9.3.1.3 Biosensors for pathogen detection in water
- 9.3.2 Air quality monitoring
- 9.3.3 Soil analysis
- 9.4 Smart nanomaterials and environmental monitoring biosensors
- 9.5 Challenges
- 9.6 Conclusions and prospects
- Chapter 10. Nanomaterials based biosensors for agricultural applications
- 10.1 Introduction
- 10.2 Nanomaterials-based biosensors
- 10.2.1 Types of nanomaterials
- 10.2.1.1 Gold nanoparticles (AuNPs)
- 10.2.1.2 Silver nanoparticles (AgNPs)
- 10.2.1.3 Metal oxide nanoparticles (MONPs)
- 10.2.1.4 Carbon nanotubes (CNTs)
- 10.2.1.5 Quantum dots (QDs)
- 10.2.1.6 Nanocomposites
- 10.3 Applications of nanomaterials-based biosensors in agriculture
- 10.3.1 Seed viability
- 10.3.2 Seed moisture/humidity measurement
- 10.3.3 Seed storage
- 10.3.4 Phenolic compounds detection
- 10.3.5 Phytohormones detection
- 10.3.5.1 Fluorescent biomarkers
- 10.3.5.2 Fluorescent biomarkers based on immunosensing activity
- 10.3.5.3 Nanomaterial-based biosensors for phytohormone detection
- 10.3.5.4 Molecularly imprinted polymers
- 10.3.6 Pathogen detection
- 10.3.6.1 Bacteria
- 10.3.6.2 Fungal
- 10.3.6.3 Virus detection
- 10.3.7 Soil assessment
- 10.3.7.1 Nitrogen-level detection
- 10.3.7.2 pH detection
- 10.3.7.3 Humidity
- 10.3.7.4 Pesticide detection
- 10.3.7.5 Detection of heavy metals and other contaminants in water
- 10.4 Conclusions and discussions
- Chapter 11. Microfluidic/nanofluidics-based smart approach for biosensing applications
- 11.1 Introduction
- 11.2 Challenges in biosensing technologies
- 11.2.1 Microfluidics and nanofluidics, their integration into the biosensors
- 11.3 The presence of microfluidic/nanofluidic-integrated biosensors
- 11.3.1 Paper-based microfluidic systems
- 11.3.2 Bead-based microfluidic systems
- 11.3.3 Lab-on-a-chip-based microfluidic systems
- 11.3.4 Droplet-based microfluidic systems
- 11.4 Conclusions and future interests
- Chapter 12. Nanomaterials-based biosensors for food and feed application
- 12.1 Introduction
- 12.2 Nanomaterials-based biosensors for pathogen and toxins detection
- 12.2.1 E. coli
- 12.2.2 Salmonella
- 12.2.3 Listeria monocytogenes
- 12.2.4 Staphylococcus aureus
- 12.2.5 Toxins
- 12.3 Nanomaterials-based biosensors for pesticide detection
- 12.4 Nanomaterials-based sensors for organic and inorganic contaminants
- 12.4.1 Organic compounds
- 12.4.2 Inorganic compounds
- 12.5 Nanomaterials-based biosensors additives
- 12.6 Lateral flow detection technology and smart sensors and packaging
- 12.6.1 Lateral flow immunoassays (LFIAs)
- 12.6.2 Smart sensors for food applications
- 12.7 Conclusions and perspective
- Chapter 13. Market trends of biosensors
- 13.1 Introduction
- 13.2 Market size and forecasting
- 13.3 Progress in commercialization of biosensors
- 13.3.1 Glucose analyzers
- 13.3.2 Cancer and cardiovascular disease detection
- 13.3.3 Food activities, contaminants, and pathogen detection
- 13.3.4 Environmental monitoring
- 13.3.5 Biodefense
- 13.4 United States (US) vs Indian biosensor market
- 13.5 Biosensors market by company type (Tier 1, Tier 2, and Tier 3)
- 13.6 Targeted supply and market transactions
- 13.7 Recent and prospects
- 13.7.1 Nanotechnology
- 13.7.2 Artificial Intelligence (AI)
- 13.7.3 Internet of Things (IoT)
- 13.8 Conclusion
- Chapter 14. Challenges, significance, and prospects of nanomaterials based next generation biosensors
- 14.1 Biosensors
- 14.1.1 Introduction
- 14.1.2 Evolution and generations of biosensors
- 14.1.2.1 First-generation biosensors
- 14.1.2.2 Second-generation biosensors
- 14.1.2.3 Third-generation biosensors
- 14.1.3 Next generation biosensors (NGBs)
- 14.2 Smart and intelligent novel nanostructured materials for NGBs
- 14.2.1 Carbon nanomaterials
- 14.2.1.1 Carbon nanotubes (CNTs)
- 14.2.1.2 Graphene
- 14.2.1.3 Carbon dots
- 14.2.1.4 Diamonds
- 14.2.2 Nanoparticles as candidate materials for NGBs
- 14.2.2.1 Metal nanoparticles
- 14.2.2.2 Organic nanomaterials
- 14.2.3 Nanocomposites or metal organic frameworks (MOFs)
- 14.3 Next generation biosensors (NGBs)
- 14.3.1 Catalytic NGBs
- 14.3.1.1 Enzymatic NGBs
- 14.3.1.2 Nonenzyme-based NGBs
- 14.3.2 Nucleic acid–based NGBs or next generation genosensors (NGGs)
- 14.3.2.1 DNA-based NGBs
- 14.3.2.2 Circulating noncoding RNAs (ncRNAs)
- 14.3.2.3 CRISPER/CAS-based NGBs
- 14.3.2.4 Synthetic nucleic acids–based NGBs
- 14.3.3 Next generations immunosensors (NGIs)
- 14.3.4 NG-aptasensor (NGAs)
- 14.3.5 Next generation Bio-FETs
- 14.3.6 Lateral flow assay–based NGBs
- 14.3.7 SERS (surface-enhanced Raman spectroscopy) based NGBs
- 14.3.8 Screen printed electrodes (SPE)-based NGBs
- 14.3.9 Wearable NGBs
- 14.3.9.1 Epidermal wearable NGBs
- 14.3.9.2 Saliva based wearable NGBs
- 14.3.9.3 Tear
- 14.3.9.4 Ear- and nose-based wearable NGBs
- 14.3.10 Smartphone mobile app and AI-ML-based NGBs
- 14.3.10.1 Smart phone applications–based NGBs
- 14.3.10.2 Artificial intelligence and machine learning–based NGBs
- 14.3.11 Microfluidics based NGBs
- 14.4 Conclusion and future prospects of NGBs
- Index
- Edition: 1
- Published: November 22, 2024
- No. of pages (Paperback): 466
- No. of pages (eBook): 400
- Imprint: Elsevier
- Language: English
- Paperback ISBN: 9780443191466
- eBook ISBN: 9780443191473
BM
Bansi D. Malhotra
Bansi Malhotra is a former Professor & Ex-Head, Department of Biotechnoloy, Delhi Technological University, where he established a nanobioelectronics laboratory. He was formally Visiting Professor at the Centre for Nano-Bioengineering & Spintronics, Chungnam National University, South Korea, between 2009 and 2013, and is former Chief Scientist at CSIR-National Physical Laboratory, India. He served as President of the Biosensors Society of India and sits on the advisory boards of numerous international journals. He has previously published three books, and contributed over 340 articles in peer-reviewed journals.
Affiliations and expertise
Ex-Professor and Head, Nanobioelectronics Laboratory, Department of Biotechnology, Delhi Technological University, Delhi Technological University, IndiaRP
Ravindra Pratap Singh
Dr. Singh received his B. Sc. from Allahabad University India and his M.Sc and Ph.D. in Biochemistry from Lucknow University, India. He is currently working as an Assistant Professor in the Department of Biotechnology, Indira Gandhi National Tribal University, India. His work and research interests include biochemistry, biosensors, nanobiotechnology, electrochemistry, material sciences, and biosensors applications in biomedical, environmental, agricultural and forensics sciences.
Affiliations and expertise
Assistant Professor in the Department of Biotechnology, Indira Gandhi National Tribal University, IndiaJS
Jay Singh
Dr. Jay is an Assistant Professor at the Department of Chemistry, Institute of Sciences, Banaras Hindu University, India, since 2017. He received his Ph.D. degree in Polymer Science from Motilal Nehru National Institute of Technology in 2010 and did MSc and BSc from Allahabad University, India. He is actively engaged in the development of nanomaterials (CeO2, NiO, rare-earth metal oxide, Ni, Nife2O4, Cu2O, Graphene, RGO etc.), based nanobiocomposite, conducting polymer and self-assembled monolayers based clinically important biosensors for estimation of bioanalaytes such as cholesterol, xanthine, glucose, pathogens and pesticides/toxins using DNA and antibodies. He is actively engaged in fabricating metal oxide-based biosensors for clinical diagnosis, food packaging applications, drug delivery, and tissue engineering applications.
Affiliations and expertise
Assistant Professor at the Department of Chemistry, Institute of Sciences, Banaras Hindu University, IndiaKR
Kshitij RB Singh
Kshitij RB Singh obtained his MSc in Biotechnology from Indira Gandhi National Tribal University, India. Currently, he is a doctoral student in the laboratory of Professor Shyam S. Pandey at the Department of Life Science and Systems Engineering, Kyushu Institute of Technology, Japan. His research interests encompass a range of fields, including biotechnology, biochemistry, nanotechnology, nanobiotechnology, biosensors, and materials sciences.
Affiliations and expertise
Research Scholar at the Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, Fukuoka, Japan.Read Smart and Intelligent Nanostructured Materials for Next-Generation Biosensors on ScienceDirect