Design of Novel Biosensors for Optical Sensing and Their Applications in Environmental Analysis / Springer Theses (PDF)

Name: Design of Novel Biosensors for Optical Sensing and Their Applications in Environmental Analysis / Springer Theses
Brand: Springer-Verlag GmbH
SKU: 112100706
Price: 98.99 EUR
Availability: OnlineOnly

(Sprache: Englisch)

Autor: Kun Yin

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Design of Novel Biosensors for Optical Sensing and Their Applications in Environmental Analysis / Springer Theses, Kun Yin

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This book introduces readers to the development of novel optical biosensors for environmental analysis. Environmental pollution has now become a serious problem, which threatens the health of human beings. Traditional analytical methods have a number of drawbacks, such as the need for professional operators and complicated instruments. After millions of years of evolution, biomolecules can perform various functions with good accuracy and efficiency due to their unique structures, offering a viable alternative to traditional methods.

This work focuses on using new biological sensing strategies, e.g. those based on special biomaterials, bio-reactions or living cells, to establish novel biosensors. As these biosensors offer satisfactory optical response performance, they can be used to transform the recognition behavior of specific targets into optical signals and effectively detect target objects.

Autoren-Porträt von Kun Yin

Dr. Kun Yin obtained his Ph.D. at the University of Chinese Academy of Sciences (UCAS) in 2016 under the supervision of Prof. Lingxin Chen. During his Ph.D study, he obtained National Scholarship (5%), Outstanding Dissertation Award (1%) and Special Prize of President Scholarship (1%) from UCAS for his outstanding academic research. After that, he did his first postdoctoral training at the Ohio State University and worked alongside Prof. Mingjun Zhang to develop optical cyclic peptide nanoparticles for Alzheimer's disease diagnosis. Then, he joined Prof. Changchun Liu's Lab as a Postdoc Researcher at the University of Pennsylvania in 2017 and the University of Connecticut from 2018, where his research has focused on developing smartphone-based molecular detection platform for disease diagnostics.