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This book highlights the latest advances in the use of graphene and
bio-compatible-material-decorated graphene to detect various
targets (e.g. DNA, RNA, amino acids, peptides, proteins, enzymes,
antigens, glucose, DA, AA, UA, ATP, NADH, gas, ions, etc.). It
focuses on the specific interaction of these substances with
graphene (or modified graphene) and the efficient transduction of
the target recognition event into detectable signals via various
techniques. Particular emphasis is given to well-designed
strategies for constructing graphene-based platforms and target
determination. It also covers other bio-analytical applications
including cellular imaging, drug delivery and bacteria inhibition,
before turning to a discussion of future challenges and prospects
of graphene in bio-analytical applications. This book is intended
for researchers working in the fields of analytical chemistry,
nanomaterials and biomedical engineering. Li Niu is a Professor at
the State Key Laboratory of Electroanalytical Chemistry, Changchun
Institute of Applied Chemistry, Chinese Academy of Sciences.
The continuous evolution and widespread application of
communication technology, network technology and computing
technology have promoted the intelligent interconnection of all
things and ubiquitous sharing of information. The cross-border,
cross-system, and cross-ecosystem exchange of user data has become
commonplace. At the same time, difficulties in the prevention of
private information abuse and lack of protection methods have
become global problems. As such, there is an urgent need to
intensify basic theoretical research in this field to support the
protection of personal information in a ubiquitously interconnected
environment. The authors of this book proposed the concept,
definition and research scope of privacy computing for the first
time in 2015. This book represents their original and innovative
scientific research achievement dedicated to privacy computing
research, and systematically explains the basic theory and
technology involved. It introduces readers to the connection
between personal information and privacy protection, defines
privacy protection and privacy desensitization, clarifies and
summarizes the limitations of existing privacy-preserving
technologies in practical information system applications, analyzes
the necessity of conducting privacy computing research, and
proposes the concept, definition and research scope of privacy
computing. It comprehensively expounds the theoretical system of
privacy computing and some privacy-preserving algorithms based on
the idea of privacy computing. In closing, it outlines future
research directions.
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