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دسته بندی: فناوری نانو ویرایش: نویسندگان: Pawan Kumar Maurya. Pranjal Chandra سری: Woodhead Publishing Series in Biomaterials ISBN (شابک) : 0323851479, 9780323851473 ناشر: Woodhead Publishing سال نشر: 2022 تعداد صفحات: 432 زبان: English فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) حجم فایل: 15 مگابایت
در صورت تبدیل فایل کتاب Nanobioanalytical Approaches to Medical Diagnostics به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب رویکردهای نانوزیست تحلیلی به تشخیص پزشکی نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
رویکردهای نانوزیست تحلیلی در تشخیص پزشکی طیف وسیعی از نانوزیست مواد و نانودستگاههای زیست تحلیلی را برای تشخیص پزشکی بررسی میکند. نانوبیومواد و نانو دستگاهها در سیستمهای بیوآنالیتیکی و بیوشیمیایی مختلف برای ارائه تشخیصهای بیدرنگ و در نقطه مراقبت استفاده میشوند. خواص تخصصی نانوذرات به آنها امکان مهندسی و سازگاری را می دهد تا اثر مورد نیاز را در یک سیستم بیو تحلیلی یا بیوشیمیایی ایجاد کنند - نتایج تشخیصی هدفمند و دقیق را در طیف وسیعی از کاربردهای زیست پزشکی ارائه می دهد.
این کتاب هر دو روش سنتی بیوشیمیایی و مدرن، ترکیبی از رویکردهای نانو به تشخیص پزشکی را پوشش می دهد. فصلها طیف وسیعی از مدلهای in vitro، in vivo و ex vivo را برای نانوبیوآنالیتیکها، از جمله DNA و پپتید، گلبولهای قرمز، میکروسیال و غیره را شرح میدهند. علاوه بر این، بخشها همچنین به کاربردهای مختلف تشخیصی پزشکی، مانند تشخیص سرطان، تشخیص بیماریهای عفونی و سنجش قند خون میپردازند.
Nanobioanalytical Approaches to Medical Diagnostics reviews a range of nanobiomaterials and bioanalytical nano-devices for medical diagnostics. Nanobiomaterials and nano-devices are used in various bioanalytical and biochemical systems to provide real-time, point-of-care diagnostics. The specialized properties of nanoparticles allow them to be engineered and adapted to produce the required effect within a bioanalytical or biochemical system – offering targeted and detailed diagnostic results in a range of biomedical applications.
This book covers both traditional biochemical and modern, combined nano-approaches to medical diagnostics. Chapters detail a range of in vitro, in vivo and ex vivo models for nanobioanalytics, including DNA and peptide-based, erythrocyte, microfluidic and more. In addition, sections also look at various different medical diagnostic applications, such as in cancer detection, infectious disease diagnosis and blood glucose sensing.
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 Back Cover