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ویرایش:
نویسندگان: Gorachand Dutta
سری:
ISBN (شابک) : 9811971293, 9789811971297
ناشر: Springer
سال نشر: 2023
تعداد صفحات: 251
[252]
زبان: English
فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود)
حجم فایل: 9 Mb
در صورت تبدیل فایل کتاب Next-Generation Nanobiosensor Devices for Point-Of-Care 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 دستگاههای نانوبیوسنسور نسل بعدی برای تشخیص نقطهای 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.
این کتاب پتانسیل تشخیص نقطهای مراقبت از نسل بعدی در مراقبتهای بهداشتی را بررسی میکند. همچنین در مورد سنجش مبتنی بر تراشه چاپی (Lab-on-a-Chip، Lab-on-a-PCB) برای تشخیص سریع و ارزان بیومارکرها بحث می کند. این کتاب توسعه سیستمهای حسی مبتنی بر استفاده از نانومواد را ارائه میکند. این بیوسنسورهای مختلف را برای تشخیص پزشکی با استفاده از استراتژیهای اصلاح سطح مبدلها بررسی میکند. این مقاله مفاهیم الکتروشیمیایی را بر اساس نانوبیومواد و نانوکامپوزیت های مختلف برای درمان سرطان ارائه می کند. قابل توجه، این کتاب پیشرفتهای اخیر در حسگرهای همودینامیک پوشیدنی و مقرونبهصرفه را برای تشخیص بیماریها در مراحل اولیه بررسی میکند. این بیشتر ترکیب چرخه ردوکس و تشخیص الکتروشیمیایی را برای توسعه حسگرهای زیستی فوق حساس و قابل تکرار برای آزمایش در نقطه مراقبت بررسی می کند. در نهایت، این کتاب چالش های مهم در زمینه تشخیص مراقبت و فرصت های آینده آن در مراقبت های بهداشتی را خلاصه می کند.
This book reviews the potential of next-generation point-of-care diagnosis in healthcare. It also discusses the printed chip-based assay (Lab-on-a-Chip, Lab-on-a-PCB) for rapid, inexpensive biomarkers detection. The book presents the development of sensory systems based on the use of nanomaterials. It examines different biosensors for medical diagnosis using surface modification strategies of transducers. It presents electrochemical concepts based on different nanobiomaterials and nanocomposites for cancer theranostics. Notably, the book examines the recent advances in wearable, cost-effective hemodynamic sensors to detect diseases at an early stage. It further explores the combination of redox cycling and electrochemical detection to develop ultrasensitive and reproducible biosensors for point-of-care testing. Finally, the book summarizes the significant challenges in the point of care diagnostics and its future opportunities in healthcare.
Preface Contents About the Editor Recent Development in Detection Systems for Human Viral Pathogens from Clinical Samples with Special Reference to Biosensors 1 Preamble 2 Direct Cultivation Approach 3 Nucleic Acid-Based Approach 3.1 Real-Time PCR 3.2 Isothermal PCR 3.3 Droplet Digital PCR 3.4 Nucleic Acid Sequencing 3.5 CRISPR/Cas-Based Systems 4 Protein-Based Approach 4.1 Hemagglutination Assay 4.2 Hemagglutination Inhibition Assay 4.3 Virus Neutralization Assay 4.4 Lateral Flow Immunoassay 5 Biosensor-Based Approach 5.1 Micromechanical Biosensors 6 Current Challenges and Prospects 7 Conclusion References Nanobiosensors for COVID-19 1 Introduction 2 Smart Materials for Sensor Technologies 3 Structure of SARS-CoV-2 4 Infection Mechanism of SARS-CoV-2 5 Nanotechnologies in the Diagnosis of COVID-19 6 Nanotechnologies in the Treatment of COVID-19 7 Inorganic Nanoparticles 8 Nanobiosensors for the Detection of Human Coronavirus (2019-nCoV, SARS/MERSCoV) and Influenza Viruses 9 Electrochemical Nanobiosensors 10 FET-Based Electrochemical Nanobiosensor 11 Cell-Based Electrochemical Nanobiosensor 12 Piezoelectric Nanobiosensors 13 Nucleic Acid Biosensor 14 Conclusion References Electrochemical Detection of Cancer Fingerprint: A Systematic Review on Recent Progress in Extracellular Vesicle Research from... 1 Introduction 2 Early Detection Is the Best Answer for Cancer 3 EV, a Promising Youngster in Liquid Biopsy 4 Conventional EV Detection Techniques 5 Electrochemical Detection of EVs 5.1 Enzyme-Based Amplification 5.2 Hybridization-Based Amplification Rolling Circle Amplification Strand Displacement Reaction Amplification Catalytic Hairpin Assembly Hybridization Chain Reaction DNA Nanomachines 6 Challenges and Future Directions 7 Conclusion References Nano-biosensors for Diagnosing Infectious and Lifestyle-Related Disease of Human: An Update 1 Introduction 2 Design of Nano-biosensors 3 Clinical Application of Nano-biosensors 3.1 Application of Nano-biosensors for the Diagnosis of Infectious Diseases Detection of Viral Pathogens Detection of Bacterial Pathogens Detection of Other Pathogens 3.2 Nano-biosensors Used in Lifestyle Diseases Detection of Diabetes and Hypertension Detection of Inflammatory Disease Detection of Cancer Detection of Neurological Disorders Detection of Other Diseases 4 Advantages and Disadvantages 5 Conclusion and Future Direction References Design and Analysis of One-Dimensional Photonic Crystal Biosensor Device for Identification of Cancerous Cells 1 Introduction 2 Theoretical Formulation 3 Results Analysis 4 Conclusions References Smart Nanobiosensing for COVID-19 Diagnosis 1 Introduction 2 Coronavirus 2.1 Structure and Morphology 2.2 Origin, Natural Reservoirs, and Intermediate Hosts of SARS-CoV-2 2.3 Transmission of Novel SARS-CoV-2 2.4 Viral Pathogenesis and Cellular Replication 2.5 Specific Biomarkers for Diagnosing COVID-19 Viral Genomic RNA Viral Antigens Host Antibodies Predictive Algorithms for Discovering Potential Biomarkers 2.6 Clinical Specimens for COVID-19 3 Contemporary Biosensing Devices for Detection of Coronaviruses 3.1 Plasmonic Biosensor 3.2 Field-effect Transistor Based Biosensor (BioFRT) 3.3 Quartz Crystal Microbalance Biosensors 3.4 Colorimetric Biosensors 3.5 Fluorescence-Based Biosensor 3.6 Other Prospective Electrical or Electrochemical Immunosensors for Detecting Coronaviruses 4 Comparative Analysis of Biosensors on a Few Technical Parameters 5 Future Perspectives References Machine Learning-Enabled Biosensors in Clinical Decision Making 1 Introduction 1.1 AI-ML in Medical Sensors 2 Different Biosensors with Machine Learning 2.1 Electrochemical Biosensors 2.2 SERS and Other Spectra-Based Biosensors 2.3 Colorimetric and Fluorometric Biosensor 2.4 Cytometry Based Biosensors 3 Machine Learning for Biomedical Processing 3.1 Data Preprocessing Baseline Correction Data Standardization Data Compression 4 Non-neural Algorithm 4.1 PCA and LDA 4.2 Support Vector Machine (SVM) 4.3 Random Forests (RFs) and Decision Trees (DTs) 4.4 Hierarchical Cluster Analysis (HCA) 5 Artificial Neural Network Algorithms 5.1 Feed Forward Artificial Neural Network 5.2 Recurrent Neural Network 5.3 Convolutional Neural Network 6 Conclusion and Outlook References Recent Progress on the Development of Chemosensors 1 Introduction 2 Pyrene-Based Chemosensor for Detection of CO2 3 Intra-molecular Hydrogen Bonding Stabilisation Based Fluorescent Chemosensor for Detection of CO2 4 Squaraine-Based System for Detection of CO2 5 α-Cyanostilbene-Based Fluorescent Chemosensor for Detection of CO2 6 pH Indicator-Based Sensors for CO2 7 Amine-Based Sensors for CO2 8 Deprotonation-Assisted Sensors for CO2 9 Chemosensors Based on Functional Material for Detection of CO2 10 Chemosensors Based on Metal-Oxide Semiconductors for Detection of CO2 11 Conclusions and Outlook References Medical Device and Equipment Sector in India: Towards Sophisticated Digital Healthcare Systems-An Overview 1 Introduction 2 Objectives 3 Methods 4 Scenario of Medical Device Sectors in India 5 Growing Opportunities in Medical Device in India 5.1 Medical Devices Sector and Growth 5.2 Health Insurance 5.3 Hospital and Medical Infrastructure 5.4 Biotech and Digital Healthcare Sector 5.5 Refurbished Medical Equipment 5.6 Policies and Regulations Governing Healthcare Instruments and Devices 6 Medical Devices, India and Future Growth 6.1 Market Size and Export Scenario 6.2 Growth and Challenges in Medical Device Sector in India 7 Conclusion References Application of Radiopharmaceuticals in Diagnostics and Therapy 1 Introduction 2 Monitoring of Tissues and Organs by Radiopharmaceuticals 2.1 Single Photon Emission Computed Tomography (SPECT) 2.2 Positron Emission Tomography (PET) 3 Diagnostic Applications of Radiopharmaceuticals 3.1 Uses of Technetium-99m 3.2 Radiopharmaceuticals Used for Diagnosis of Cardiovascular Diseases Myocardial Perfusion Imaging (MPI) or Myocardial Perfusion Scintigraphy (MPS) 3.3 Radiopharmaceuticals Used for Study of Liver and Diagnosis of Diseased Condition 3.4 Radiopharmaceuticals Used in the Diagnosis of Cancer To Detect Cancerous Growth in the Body: Metabolic Study Using FDG Tumour Imaging 3.5 Radiopharmaceuticals Used for Diagnosis in Kidney Diseases 3.6 Radiopharmaceuticals for Diagnosis of Haematopoietic Disorders 3.7 Radiopharmaceuticals for Diagnosis of Lung Disorders 4 Therapeutic Applications of Radiopharmaceuticals 4.1 Delivery of Radionuclides by Nanocarriers Polymeric Nanoparticles Inorganic Nanoparticles Dendrimers 5 Role of Electrochemical Sensors for Detection of Radiopharmaceuticals 6 Radiotherapy 6.1 Treatment of Thyroid Diseases 6.2 Treatment of Metastatic Bone Pain 6.3 Treatment of Non-Hodgkin´s Lymphoma 6.4 Treatment of Hepatocellular Carcinoma 6.5 Treatment of Neuroendocrine Tumours 7 Conclusion References