Nano-inspired Biosensors for Protein Assay with Clinical Applications

Nano-inspired Biosensors for Protein Assay with Clinical Applications

1st Edition - August 29, 2018

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  • Author: Genxi Li
  • Paperback ISBN: 9780128150535
  • eBook ISBN: 9780128150542

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Description

Nano-inspired Biosensors for Protein Assay with Clinical Applications introduces the latest developments in nano-inspired biosensing, helping readers understand both the fundamentals and frontiers in this rapidly advancing field. In recent decades, there has been increased interest in nano-inspired biosensors for clinical application. Proteins, e.g. antigen-antibody, tumor markers and enzymes are the most important target in disease diagnosis, and a variety of biosensing techniques and strategies have been developed for protein assay. This book brings together all the current literature on the most recent advances of protein analysis and new methodologies in designing new kinds of biosensors for clinical diagnostic use.

Key Features

  • Provides a single source of information on the latest developments in the field of biosensors for protein analysis and clinical diagnosis
  • Focuses on biosensors fabricated with nanomaterials and nanotechnology
  • Gives detailed methodologies for designing and fabricating nano-inspired biosensors

Readership

Academic researchers, graduate students, and industrial researchers and engineers (including biomedical engineers) who concentrate in analytical chemistry, nanotechnologies, biosensors, or clinical diagnosis

Table of Contents

  • Part I: Nanomaterials for protein assay
    1. Carbon nanomaterials
    2. Metal nanomaterials
    3. Quantum dots and nanoclusters
    4. Other nanomaterials

    Part II: Molecular recognition in protein assay
    5. Immuno-biosensors
    6. Aptasensors
    7. Peptide-based biosensors
    8. Protein assay based on protein-small molecule interaction

    Part III: Biosensing technologies for protein assay
    9. Electrochemistry
    10. Colorimetry
    11. Other signal-readout technologies
    12. Signal amplification strategy

Product details

  • No. of pages: 378
  • Language: English
  • Copyright: © Elsevier 2018
  • Published: August 29, 2018
  • Imprint: Elsevier
  • Paperback ISBN: 9780128150535
  • eBook ISBN: 9780128150542

About the Author

Genxi Li

Professor Genxi Li received his BA in Polymer Chemistry, MA in Analytical Chemistry, and PhD in Analytical Chemistry from the Chemistry Department at Nanjing University, China, in 1988, 1991, and 1994, respectively. He was then a postdoc in the Biochemistry Department at Nanjing University. In 1996, he was made Associate Professor, and since 2001 he has been a full professor. He worked as a visiting scholar in the Department of Biology, Munich University in 1998; Faculty of Pharmaceutical Sciences, Tohoku University in 1999; and Department of Biological Chemistry and Molecular Pharmacology, Harvard University in 2000. In 2006, he was also a Professor affiliated with the School of Life Sciences, Shanghai University. From January 1999 to May 2010, he was the Chair of the Biochemistry Department at Naning University, and from November 2008 to October 2011, he was the Dean of the School of Life Sciences at Shanghai University. He is now the Vice President and Secretary General of the Chinese Protein Society, Member of the Committee for Chemical Sensors, China Instrument & Control Society, Member of the Council of the Biophysical Society of China, and Member of the Council of the Chinese Society of Biochemistry and Molecular Biology. He is also a member of the editorial board of several journals. His research interests include electrochemical biosensors and nano-based biosensors, mainly towards the assay of proteins with clinical applications. He has published more than 200 papers with more than 4000 citations.

Affiliations and Expertise

State Key Laboratory of Pharmaceutical Biotechnology, Department of Biochemistry, Nanjing University; and Laboratory of Biosensing Technology, School of Life Sciences, Shanghai University, Shanghai

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