Nature-Derived Sensors: Basic Principles and Recent Advances offers a wide range of information on nature-inspired solutions for modern sensor technology. A branch of biomimetics science, biomimetic sensors, and sensing technologies have grown rapidly and widely and therefore have found real industrial applications as emerging technologies. As a result of the demand for low-cost, high-quality, and smart sensors, challenges across many scientific fields can be resolved by learning from nature solutions.
This book begins with an introductory section dealing with fundamental and basic information about biomimetic mechanisms, materials, algorithms, and tools. Various classes of nature-inspired sensors are also discussed. This book is an excellent reference for graduate students and researchers working with biomimetic sensors, their industrial applications, data science, artificial intelligence, and the Internet of Things in the processing of sensory data.
Covers recent advances and applications of biomimetics science through the fabrication and design of sensors
Analyzes all kinds of nature-inspired sensors
Provides a general and wide overview of the science and technology of nature-inspired sensors to the scientific and industrial communities
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Bahram Hemmateenejad is a professor of Chemistry at the Chemistry Department of Shiraz University. He received his Ph.D. in Analytical Chemistry from Shiraz University in 2002. As a fellow of the Alexander von Humboldt Foundation, he has visited different research institutes and universities in Germany. He won many national and international awards such as the Razi Festival award, Elsevier Chemolab Award, and TWAS young affiliate membership. He runs a Lab on the development and applications of different chemometrics methods in chemobiological interactions, computer-aided drug design colorimetric sensors, and paper-based analytical devices. He has been the author or co-author of more than 250 peer-reviewed scientific papers. He is serving as associate editor of “Journal of the Iranian Chemical Society” and have been take part as scientific/organizing committee of many national and international seminars/conferences. He has supervised 65 PharmD, Master and PhD theses.
Zeynep Altintas is a full professor and the Chair of Bioinspired Materials and Biosensor Technologies at the University of Kiel, Germany. She has been the Head of Biosensors and Receptor Development Group at the Technical University of Berlin since 2016. She completed her Ph.D. on biomedical sensors at the age of 25 with the outstanding Ph.D. student award. Her Ph.D. period brought her several other research prizes and fellowships. Following a one-year postdoc position at the Cranfield Biotechnology Centre, she continued her academic career as a faculty member of Biomedical Engineering at Cranfield University (the UK) until 2016. She leads an interdisciplinary research group in the domains of biosensor technologies, computational chemistry, receptor design, functional polymers and their applications in (bio)chemical sciences, nanomaterials applications, and design, synthesis, and characterization of biomimetic materials.
Elmira Rafatmah received her M. Sc. degree in analytical chemistry from Shiraz university in 2013. She placed in the second position in Iran’s nationwide Ph.D. entrance exam in chemistry. She received her Ph.D. from Shiraz University in June 2019. Her research interest is a development of paper-based electroanalytical devices.
Biologically inspired technologies can be gathered under the title of biomimetics science. Biomimetic sensors and sensing technologies have grown rapidly and widely and therefore have found real industrial applications as emerging technologies. Nature-Derived Sensors: basic principles and recent advances begins with an introductory section dealing with fundamental and basic information about biomimetic mechanisms, materials, algorithms, and tools. In further detail, various classes of nature-inspired sensors will be discussed.
This book brings together a wide range of information from nature-inspired solutions for modern sensor technology. As a result of the demand for low-cost, high-quality, and smart sensors, scientists will face new challenges that can be resolved by learning from nature solutions.
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