Smart Diagnostics for Neurodegenerative Disorders
Neuro-sensors
- 1st Edition - August 19, 2023
- Imprint: Academic Press
- Editors: Arpana Parihar, Raju Khan, Avanish Kumar Srivastava
- Language: English
- Paperback ISBN:9 7 8 - 0 - 3 2 3 - 9 5 5 3 9 - 3
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 9 5 5 4 0 - 9
Smart Diagnostics for Neurodegenerative Disorders: Neuro-sensors explores all available biosensor-based approaches and technologies as well as their use in the diagnosis, prognosis… Read more
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Request a sales quoteSmart Diagnostics for Neurodegenerative Disorders: Neuro-sensors explores all available biosensor-based approaches and technologies as well as their use in the diagnosis, prognosis and therapeutic management of a variety of neurological disorders such as Alzheimer's, Parkinson's and epileptic disorders. The book also discusses contemporary and revolutionary biosensor platforms that are being used to produce a quantitative quick lab-on-a-chip point-of-care (POC) assay for several types of predictive and diagnostic biomarkers linked with neurodegenerative disorders. It offers a combinatorial strategy for learning recent advances and designing new biosensor-based technologies in the fields of medical science, engineering and biomedical technology.
Early detection of neurological conditions has the potential to treat the disease and extend the life expectancy of patients. Recent improvements in biosensor-based approaches that target specific cell surface biomarkers can be used for early detection of neurodegenerative disease.
- Provides an in-depth understanding of biomarkers associated with neurodegenerative disease to build and create a variety of biosensors
- Presents biosensor-based strategies to create and construct enhanced platforms for quick diagnosis of biomarkers linked to a variety of neurological illnesses
- Discusses the current challenges and future trends in developing diagnostic devices for early detection of neurodegenerative disorders, presenting new avenues for more sensitive and selective point-of-care devices
Graduate students and professionals in biomedical engineering, biomedicine, and neuroscience/neuro-engineering working to develop predictive and diagnostic biomarkers linked with neurodegenerative disorders, Biochemists, biotechnologists, pharmacists, bioengineers, and medical students
- Cover image
- Title page
- Table of Contents
- Copyright
- Dedication
- List of contributors
- Preface
- Acknowledgments
- Chapter 1. Neurobiosensors: novel approaches towards early diagnostics of neurodegenerative disorders
- Abstract
- 1.1 Introduction
- 1.2 Overview of neurodegenerative diseases
- 1.3 Classification of biomarkers for neurodegenerative diseases
- 1.4 Structural analysis of biosensor designing/mechanism of biosensor devices
- 1.5 Neurobiosensors: a potential tool for early diagnosis of NDDs
- 1.6 Currently available biosensor technologies
- 1.7 Conclusion and future outlook
- Acknowledgments
- References
- Chapter 2. Sampling methods and biomarkers for early detection of neurodegenerative disorders
- Abstract
- 2.1 Introduction
- 2.2 Clinical proteomics for neurodegenerative disorders (cNEUPRO)
- 2.3 Potential approach for early detection of neurodegenerative disorder: molecular diagnosis
- 2.4 Conclusion
- Acknowledgments
- References
- Chapter 3. Salivary biomarkers for neurodegenerative disorder for biomedical sensing
- Abstract
- 3.1 Introduction
- 3.2 Various bodily fluids for neurogenerative disorder detection
- 3.3 Various salivary biomarkers involved in early diagnosis of neurodegenerative disorders
- 3.4 Application of salivary biomarkers for biomedical sensing
- 3.5 Limitations of salivary biomarkers
- 3.6 Conclusion and future perspectives
- Acknowledgments
- References
- Chapter 4. Lateral flow assay for early diagnosis of neurodegenerative disorder
- Abstract
- 4.1 Introduction
- 4.2 Neurodegenerative disorders
- 4.3 Major diagnosis method of NDDs
- 4.4 Diagnosis of NDDs from lateral flow assay
- 4.5 Challenges and perspectives for future research
- 4.6 Conclusions
- Abbreviations
- Acknowledgments
- Conflict of interest
- References
- Chapter 5. Image processing: an early detection tool for Alzheimer’s disease
- Abstract
- 5.1 Introduction
- 5.2 Available noninvasive diagnostic methods versus imaging techniques
- 5.3 Importance of AI for early detection of AD
- 5.4 Imaging and human behavior analysis using AI
- 5.5 AI algorithms for AD
- 5.6 AI-assisted pattern recognition for early detection of AD through human behavior
- 5.7 AI-based research and devices for AD
- 5.8 Conclusions and future directions
- Acknowledgments
- Conflict of interest
- References
- Chapter 6. Detection of genetic and epigenetic markers in neurodegenerative disorders
- Abstract
- 6.1 Introduction
- 6.2 Epigenetic modifications and neuroepigenetics and their role in neuronal function
- 6.3 Clinical significance of early stage diagnosis and treatment of neurodegenerative diseases
- 6.4 Molecular diagnosis for neurodegenerative diseases: superior approach over behavioral symptoms based diagnosis
- 6.5 Epigenetic and/or consequent transcriptional alterations in neurodegenerative diseases
- 6.6 Perspectives on the discovery genetic and epigenetic biomarkers and their application
- 6.7 Technical limitations of neural organoids for epigenetics-based biomarker discovery
- 6.8 Conclusion and future perspectives
- References
- Chapter 7. Electrochemical biosensor-based detection assays for early diagnosis of neurodegenerative disorders
- Abstract
- 7.1 Introduction
- 7.2 Biomarkers for neurodegenerative disease detection
- 7.3 Electrochemical biosensors for disease biomarker detection
- 7.4 Conclusions and future perspectives
- Acknowledgments
- References
- Chapter 8. FRET-based assays for neurological disease and diagnostics
- Abstract
- 8.1 Introduction
- 8.2 Different types of FRET assay
- 8.3 FRET ASSAYS performed until date for disorders
- 8.4 Advantages and limitations
- 8.5 Summary and future directions for research
- References
- Chapter 9. Lab-on-chip platform for neurodegenerative disorder
- Abstract
- 9.1 Introduction
- 9.2 Lab-on-chip technology for neurodegenerative disease models
- 9.3 Lab on chip for neurodegenerative diseases
- 9.4 Current limitations and challenges for the development of disease-specific models
- 9.5 Conclusions and future prospective
- References
- Chapter 10. Rapid diagnostic assays for the detection of Alzheimer’s and Parkinson’s diseases
- Abstract
- 10.1 Introduction
- 10.2 Traditional approach
- 10.3 Molecular biological technique-based diagnostics for NDDs
- 10.4 Advanced biosensor-based diagnosis of NDDs
- 10.5 Role of nanoparticles for the fabrication of biosensors
- 10.6 Challenges and future outlook
- 10.7 Conclusion
- Acknowledgments
- References
- Chapter 11. Smartphone coupled nano-enabled sensors for neurodegenerative disorder
- Abstract
- 11.1 Introduction
- 11.2 Biosensors for neurodegenerative diseases
- 11.3 Smartphone-enabled biosensing platforms
- 11.4 Optical sensing using smartphones
- 11.5 Electrochemical sensing using smartphones
- 11.6 Smartphone-coupled nano-enabled biosensors for neurodegenerative diseases
- 11.7 Challenges and issues while fabrication of smartphone-based devices
- 11.8 Conclusion and future perspectives
- Acknowledgments
- Conflict of interest
- References
- Chapter 12. Microfluidic-integrated biosensors for neurodegenerative disorders
- Abstract
- 12.1 Introduction
- 12.2 Biosensors for neurodegenerative diseases
- 12.3 Microfluidic biosensors
- 12.4 Microfluidic biosensors for neurodegenerative diseases
- 12.5 Conclusion and future perspective
- Acknowledgments
- Conflict of interest
- References
- Chapter 13. POCT devices for neurodegenerative disorders: from lab to clinics
- Abstract
- 13.1 Introduction
- 13.2 Classification of neurodegenerative diseases
- 13.3 Biomarkers for diagnosing neurodegenerative diseases
- 13.4 POC diagnostics from lab to clinical applications
- 13.5 Artificial intelligence (AI)-based clinical evaluation
- 13.6 Market growth of point-of-care diagnostics
- 13.7 Conclusion
- Acknowledgments
- References
- Chapter 14. Current challenges and future perspectives for the development of POCT devices for neurodegenerative disorders
- Abstract
- 14.1 Introduction
- 14.2 Neurodegenerative disease
- 14.3 Neurobiosensors for early diagnosis of NDD
- 14.4 Challenges in POCT device fabrication and development
- 14.5 Goals for the development of POCT
- 14.6 Conclusion
- Acknowledgments
- References
- Index
- Edition: 1
- Published: August 19, 2023
- Imprint: Academic Press
- No. of pages: 400
- Language: English
- Paperback ISBN: 9780323955393
- eBook ISBN: 9780323955409
AP
Arpana Parihar
Arpana Parihar is a DST Scientist B at CSIR-Advanced Materials and Processes Research Institute (AMPRI), Bhopal, India. She has 8 years of research and teaching experience and her current research interests include fabrication (Micro/Nano-fabrication) of Bio-devices/bio-medical POCT Devices for early diagnosis of cancer and infectious disease. She has gained significant expertise in the field of 3D cell culture, drug designing, tissue engineering, photodynamic therapy, molecular dynamic simulations, and immunoinformatics.
Affiliations and expertise
Industrial Waste Utilization, Nano and Biomaterials, CSIR-Advanced, Materials and Processes, Research Institute (AMPRI), Bhopal, Madhya, Pradesh, IndiaRK
Raju Khan
Raju Khan is a Senior Principal Scientist and Professor, at CSIR-Advanced Materials and Processes Research Institute, Bhopal. He did his PhD in Chemistry in 2005 from Jamia Millia Islamia, Central University, New Delhi, and Postdoctoral researcher at the “Sensor Research Laboratory” University of the Western Cape, Cape Town. His current research involved synthesizing novel materials to fabricate electrochemical and fluorescence-based biosensors integrated with microfluidics to detect target disease risk biomarkers for health care monitoring. He has published over 150 papers in SCI journal, which attracted over 5500 citations as per Google Scholar, published 45 book chapters in the reputed book Elsevier and Taylor Francis, editing of 28 books from Elsevier and Taylor Francis, and his research has been highlighted in Nature India. He has supervised 5 PhD and 30 undergraduate/postgraduate theses and has supervised 4 numbers of postdoctoral fellows under the scheme of N-PDF, CSIR-Nehru Fellowship, and DST-Women Scientist Projects.
Affiliations and expertise
Senior Principal Scientist & Professor, CSIR-Advanced Materials & Processes Research Institute, Bhopal, Madhya Pradesh, IndiaAS
Avanish Kumar Srivastava
Avanish Kumar Srivastava is the director of the CSIR-AMPRI, Bhopal, India. He is an expert in nanoscale measurements and instrumentation, and his research interests lie in nucleation growth, phase transformations, microstructures, and defects.
Affiliations and expertise
Director, CSIR-Advanced Materials and Processes Research Institute (AMPRI), Bhopal, Madhya Pradesh, IndiaRead Smart Diagnostics for Neurodegenerative Disorders on ScienceDirect