Nanobioanalytical Approaches to Medical Diagnostics

Front Cover
Nanobioanalytical Approaches to Medical Diagnostics
Copyright
Contents
Contributors
Preface
Chapter 1: Prospects of fluidic force microscopy and related biosensors for medical applications
1.1. Atomic force microscopy
1.2. Cell biology with AFM
1.3. Fluidic force microscopy
1.4. Single-cell force spectroscopy by FluidFM
1.5. Bacterial adhesion measured by FluidFM
1.6. Eukaryotic cell adhesion
1.7. Additional fluidic force microscopy functions
1.8. Measurements by computer-controlled micropipette
1.9. Label-free biosensors for cell adhesion analysis
1.10. Summary
Acknowledgments
References
Chapter 2: Point of care diagnostics for cancer: Recent trends and challenges
2.1. Introduction
2.2. Role of biomarkers in the detection of cancer
2.2.1. Types of biomarkers for cancer detection
2.2.1.1. Protein-based biomarkers
2.2.1.2. Nucleic acid-based biomarkers
2.2.1.3. Cancer cell-based biomarkers
2.2.1.4. Metabolites-based biomarkers
2.2.1.5. Exosomes
2.2.2. Toward early detection of cancer
2.3. Point-of-care diagnostics for cancer
2.3.1. Introduction
2.3.2. Types of point of care devices in cancer
2.3.2.1. Imaging tools-based point of care diagnostics
Ultrasound-based POC cancer diagnostics
Optical imaging
Nuclear medicine imaging
2.3.2.2. Biosensors-based point-of-care diagnostic tools
Electrochemical biosensors
Optical biosensors
Piezoelectric biosensors
2.4. Conclusion and future perspectives
Acknowledgments
References
Chapter 3: Bioelectrochemical methods in biomolecular analysis
3.1. Introduction
3.2. Types of bioelectrochemical methods for bimolecular analysis: Working mechanism
3.2.1. Voltammetric/amperometric biosensors
3.2.2. Potentiometric biosensors
3.2.3. Impedimetric biosensors
3.2.4. Bioelectrochemical system based biosensor
3.3. Application of bioelectrochemical system based biosensor
3.3.1. Detection of hexavalent chromium
3.3.2. Detection of toxic compounds
3.3.3. Detection of acetaldehyde
3.3.4. Detection of fumarate
3.3.5. Determination of water quality
3.3.6. Detection of volatile fatty acids
3.3.7. Detection of dissolved oxygen
3.3.8. Detection of chemical oxygen demand
3.3.9. Detection of biological oxygen demand
3.4. Bioelectrochemical methods for cell analysis
3.4.1. Scanning electrochemical microscopy (SECM) method
3.4.1.1. Detection of assimilable organic carbon
3.4.1.2. Detection of acetate
3.5. Bioelectrochemical methods for cell analysis
3.6. Bioelectrochemical methods for cell culture fabrication and cell stimulation
3.7. Prospective and future trends
References
Chapter 4: Electrochemical nano-aptasensor as potential diagnostic device for thrombin
4.1. Introduction
4.2. Aptasensor
4.2.1. Aptamer
4.2.1.1. Selection of aptamer
4.2.1.2. Immobilization methods of aptamer
4.2.2. Incorporation of nanomaterials
4.2.3. Detection systems in aptasensing
4.2.3.1. Optical detection
4.2.3.2. Electrochemical detection
4.3. Thrombin
4.3.1. Significance of thrombin
4.3.2. Conventional detection methods of thrombin
4.3.3. Thrombin-binding aptamers
4.4. Application of electrochemical aptasensors in thrombin detection
4.5. Conclusions and future outlook
Conflict of interest
Acknowledgments
References
Chapter 5: Antibiotics and analytical methods used for their determination
5.1. Introduction
5.2. Antibacterial drugs and the extent of their use
5.2.1. Classic methods of antibiotic determination
5.2.2. Biosensor approaches to antibiotic determination
5.2.2.1. Electrochemical biosensors
5.2.2.2. Immunosensors
5.2.2.3. Aptasensors
5.2.2.4. Molecularly imprinted polymer sensors
5.2.2.5. Acoustic biosensors
5.2.2.6. Microbial sensory systems for antibiotic detection
5.2.2.7. Optical biosensors
5.3. Conclusion
Acknowledgments
Conflict of interest
References
Chapter 6: Integration of microfluidics with biosensing technology for noncommunicable disease diagnosis
6.1. Introduction
6.2. Biosensor technology
6.2.1. Classification of biosensors
6.2.1.1. Enzyme-based biosensors
6.2.1.2. Antibody-based biosensors
6.2.1.3. Aptamers-based biosensors
6.3. Microfluidics technology
6.3.1. Fluid dynamics in microfluidics
6.3.1.1. Fluid viscosity
6.3.1.2. Momentum and Navier Stokes equation
6.4. Microfluidics-based biosensors
6.4.1. Applications of microfluidic-based biosensor
6.4.1.1. Cancer diagnostics
6.4.1.2. Cardiovascular disease detection
6.4.1.3. Cholesterol monitoring
6.4.1.4. Early assessment of diabetes mellitus
6.5. Communication technology
6.5.1. Combining sensors with communication infrastructure
6.5.2. WSN in monitoring non-communicable disease
6.5.3. Microfluidics-based biosensor and WSN
6.5.4. Adoption of microfluidics biosensor in wearable technology
6.6. Conclusion
References
Chapter 7: Role and implication of nanomaterials in clinical diagnostics
7.1. Introduction
7.2. Nanomaterials in bioimaging based diagnostics
7.2.1. Magnetic resonance imaging
7.2.2. Positron emission tomography scan
7.2.3. Ultrasound imaging
7.2.4. Computed tomography
7.2.5. Photoacoustic imaging
7.3. Nanodevices
7.3.1. Nanowires-based biosensors
7.3.2. Nanoporous silica chips
7.3.3. Nanofluidic devices
7.3.4. Devices using nanocantilevers
7.4. Nano-biosensors
7.4.1. Requirement of nano-biosensors in clinical diagnosis
7.4.2. Types of nano-biosensors
7.4.2.1. Use of electrochemical immuno-nanosensors
7.4.2.2. Nanomaterial-based optical sensors
Photoluminescence-based optical nano-biosensors
7.4.2.3. Use of nanoparticles for developing aptasensors
7.5. Lateral flow assay
7.6. Safety concerns and limitations of using nanoparticle
7.7. Conclusion and future prospects
Acknowledgments
References
Chapter 8: Nano-materials in biochemical analysis
8.1. Introduction
8.2. Classification of nanoparticles
8.2.1. Metallic nanoparticles
8.2.2. Non-metallic nanoparticles
8.2.3. Biodegradable nanoparticles
8.3. Synthesis of nanoparticles
8.3.1. Wet-chemical processes
8.3.2. Physical methods of synthesis
8.3.3. Gas-phase preparation
8.4. Functionalization of nanomaterials for biochemical applications
8.5. Biochemical applications of nanoparticles
8.5.1. Detection of oxidative stress biomarkers
8.5.1.1. Lipid-based biomarkers detection
8.5.1.2. Hydrogen peroxide detection
8.5.1.3. Superoxide anion detection
8.5.1.4. Hydroxyl radical detection
8.5.1.5. Reduced glutathione detection
8.5.1.6. 8-Hydroxy-2-deoxyguanosine detection
8.5.1.7. C-reactive protein detection
8.5.2. Enzyme-like activity
8.5.2.1. Nanomaterials exhibiting superoxide dismutase-like activity
8.5.2.2. Nanomaterials exhibiting peroxidase-like activity
8.5.2.3. Nanomaterials exhibiting oxidase-like activity
8.5.2.4. Nanomaterials exhibiting catalase-like activity
8.6. Conclusion and future prospects
References
Chapter 9: Lignocellulose-based nanomaterials for diagnostic and therapeutic applications
9.1. Introduction
9.2. Lignocellulose and its composition
9.3. Nanoparticles from lignocellulose
9.3.1. Preparation
9.3.1.1. Lignin based nanomaterials
9.3.1.2. Cellulose based nanomaterials
9.3.2. Techniques used for preparing nano-cellulose
9.3.2.1. High-pressure homogenization
9.3.2.2. Microfluidization
9.3.2.3. Cryocrushing
9.3.2.4. Grinding
9.3.2.5. High intensity ultrasonication (HIUS)
9.3.2.6. Steam explosion
9.4. Biomedical applications of LCB nanomaterials
9.5. Conclusion and future prospects
References
Chapter 10: Bioanalytical approaches in detection of free radicals and RONS
10.1. Introduction
10.2. Overview of ROS detection methods
10.3. Conventional ex vivo bioanalytical methods
10.3.1. Colorimetric methods
10.3.2. Fluorescence spectrometry-based methods
10.3.3. Immunoblotting approach for indirect ROS effects
10.4. Conventional in vivo methods
10.4.1. Microscopy based direct visualization of radical and RNOS
10.4.2. Flow cytometry based semi-quantitative analysis
10.4.3. Live imaging methods
10.5. Advance methods for radical/RNOS detection
10.5.1. ESR-based methods
10.5.2. NMR-based methods
10.6. Conclusion
References
Chapter 11: Nano-biosensors for biochemical analysis
11.1. Introduction
11.2. Biosensors
11.2.1. Types
11.3. AuNP-based biosensors
11.4. Carbon nanotube based biosensors
11.5. Quantum dots based biosensors
11.6. Nanoparticles in analytical biochemistry
11.6.1. Glucose biosensor
11.6.2. Choline nanosensors
11.6.3. Lactate biosensor
11.6.4. Triglyceride nanosensors
11.6.5. Ochratoxin A detection
11.7. Nanoparticles in bioassays
11.7.1. C-reactive protein
11.8. Applications
11.9. Conclusion and future perspectives
Acknowledgments
References
Chapter 12: Nanobiomaterials in biomedicine: Designing approaches and critical concepts
12.1. Introduction
12.2. Nanomaterials and it's applications in nanomedicine
12.2.1. Fundamentals of nanotechnology based techniques in designing of drug
12.3. Nanoparticles used in drug delivery system
12.3.1. Polymeric micelles
12.3.2. Polymeric nanoparticles
12.3.3. Polymeric drug conjugates
12.3.4. Dendrimers
12.3.5. Nanocrystals
12.3.6. Liposomes
12.3.7. Nanoparticles based on solid lipids
12.3.8. Inorganic nanoparticles
12.3.9. Silica materials
12.4. Conclusion
References
Chapter 13: Erythrocytes model for oxidative stress analysis
5.1. Oxidative stress
5.1.1. Stress
5.1.2. Cold stress
5.1.3. Physical exercise and stress
5.1.4. Chronic stress
5.1.5. Nutritional stress
5.1.6. Hypoxic stress
5.2. Oxidative stress and diseases
5.3. Oxidative stress and autoimmune diseases
5.4. Oxidative stress and rheumatoid arthritis
5.4.1. Rheumatoid arthritis (RA)
5.4.2. Oxidative stress measurement in RA
5.5. Oxidative stress and erythrocytes
5.6. Conclusion
Acknowledgment
Authors contributions
References
Chapter 14: Lipid film based biosensors: A protection tool for the public health
14.1. Introduction
14.2. Construction of lipid film based nanosensors
14.2.1. Metal supported lipid membranes
14.2.2. Stabilized lipid films formed on a glass fiber filter
14.2.3. Polymer-supported bilayer lipid membranes
14.2.4. Polymer lipid films supported on graphene and ZnO microelectrodes
14.2.5. Fabrication of biosensors with nanoporous lipid membranes
14.3. Applications of lipid film based biosensors in clinical analysis for the protection of public health
14.4. Conclusion
References
Index
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