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Principles and Clinical Diagnostic Applications of Surface-Enhanced Raman Spectroscopy

Editat de Yuling Wang
en Limba Engleză Paperback – 22 sep 2021
Principles and Clinical Diagnostic Applications of Surface-Enhanced Raman Spectroscopy summarizes the principles of surface-enhanced Raman scattering/spectroscopy (SERS) and plasmonic nanomaterials for SERS, with a focus on SERS applications in clinical diagnostics. This book covers the key concepts from the fundamentals, materials, experimental aspects, and applications of SERS in clinical diagnostics with discussions on label-free/direct SERS assay, design and synthesis of SERS nanotags, SERS nanotags for point-of-care diagnostics, microfluidic SERS assay, and in vitro and in vivo sensing and imaging. Written by experts from around the world, this comprehensive volume showcases the recent progress of SERS applications in clinical diagnostics and helps readers understand when and how to use SERS in a clinical setting.

  • Introduces the basics of SERS and suitable nanomaterials for SERS application
  • Gives an overview of the cutting-edge research on SERS applications for clinical diagnosis, including the latest advances in our understanding of underlying principles to enable material design and clinical applications
  • Gradually builds from the fundamental concepts to the applications of SERS for clinical diagnostics
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Specificații

ISBN-13: 9780128211212
ISBN-10: 0128211210
Pagini: 464
Ilustrații: 120 illustrations (30 in full color)
Dimensiuni: 152 x 229 mm
Greutate: 0.62 kg
Editura: ELSEVIER SCIENCE

Cuprins

1. Principles of surface-enhanced Raman spectroscopy
2. Nanoplasmonic materials for SERS
3. Experimental aspects of SERS for biological applications
4. Label free SERS for clinical applications
5. SERS nanotags design and synthesis
6. SERS for circulating biomarkers detection in clinical diagnosis
7. SERS-based microfluidic devices for in vitro diagnostics
8. SERS for sensing and imaging in live cells
9. iSERS microscopy: point-of-care diagnosis and tissue imaging
10. SERS for cancer characterization
11. Multivariate Approaches for SERS Data Analysis in Clinical Applications