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Nanotechnology in Cancer Management. Precise Diagnostics toward Personalized Health Care

  • Book

  • May 2021
  • Elsevier Science and Technology
  • ID: 4829331

Nanotechnology in Cancer Management: Precise Diagnostics toward Personalized Health Care provides a well-focused and comprehensive overview of technologies involved in early stage cancer diagnostics via the detection of various cancer biomarkers, both in-vitro and in-vivo. The book briefly describes the advancement in cancer biomarker research relating to cancer diagnostics, covering fundamental aspects of various techniques, especially transduction methodologies, such as electrochemical, optical, magnetic, etc. In addition, it describes approaches on how to make options cost-effective, scalable for clinical application, and user-friendly. Advancements in technology related to device miniaturization, performance improvement and point-of-care applications round out discussions.

Final sections cover future challenges, the prospects of various techniques, and how the introduction of nanotechnology in cancer management in a personalized manner is useful.

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Table of Contents

1. Introduction: Background, diagnostics, cancer biomarkers, state-of-art 2. Electrochemical Detection: CV/DPV/Impedance 3. Fluorescence microscopy: Organic dye/nanoparticles/quantum dots and spectroscopy 4. Raman spectrophotometer: SERS nanotags (Au/Ag), confocal Raman microscopy 5. Sequencing: DNA analysis 6. Bioinformatics: Computer programming 7. Magnetic: Magnetic based sensing 8. Lab on a chip: Microfluidics 9. Imaging: Electron microscopy (AFM/SEM/TEM): Shape and size-based analysis 10. Scale up of rapid diagnostics for clinical application: Device development for clinical application 11. Challenges and future prospects of nano-enabled cancer management

Authors

Kamil Reza Khondakar School of Technology, Woxsen University, Kamkole, Telangana, India.

Dr. Kamil Reza Khondakar obtained his doctoral degree from the Centre of Personalised Nanomedicine at Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, Australia. He is currently involved in the multiple surface marker profiling of cancer cells and monitor the drug sensitivity effect on the cell surface markers in a Raman (SERS) based microfluidic chip. The aim of his studies is focused on the development of next-generation diagnostics chips for multiple biomarker detection on a single chip to understand the tumor heterogeneity and provide an early detection strategy for cancer management. He received awards and honors due to his contributions to the field of biomedical technology. He was awarded International Postgraduate Research Scholarship (IPRS) from Government of Australia, and University of Queensland Centennial Scholarship (UQCent) from The University of Queensland, Australia. He was invited to give a talk at 'Biosensor 2018' conference at Miami, USA.

Ajeet Kumar Kaushik Associate Professor of Chemistry, NanoBioTech Laboratory, Health System Engineering, Department of Environmental Engineering, Florida Polytechnic University, USA. Dr. Ajeet Kaushik is Assistant Professor at the NanoBioTech laboratory, Department of Environmental Engineering, Florida Polytechnic University, USA. He is the recipient of various reputed awards for his service in the area of nano-biotechnology for health care. He has edited four books, written 100 international research peer reviewed publications, and has three patents in the area of nanomedicine and smart biosensors for personalized health care. In the course of his research, Dr. Kaushik has been engaged in design and development of various electro-active nanostructures for electrochemical biosensor and nanomedicine for health care. His research interests include nanobiotechnology, analytical systems, design and develop nanostructures, nano-carries for drug delivery, nano-therapeutics for CNS diseases, on-demand site-specific release of therapeutic agents, exploring personalized nanomedicines, biosensors, point-of-care sensing devices, and related areas of health care monitoring.