Bioinspired Smell and Taste Sensors - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Bioinspired Smell and Taste Sensors write by Ping Wang. This book was released on 2015-10-03. Bioinspired Smell and Taste Sensors available in PDF, EPUB and Kindle. This book discusses the field of bioinspired smell and taste sensors which includes many new areas: sensitive materials, physiological modelling and simulation, and more. Similar to biological chemical sensing systems, bioinspired smell and taste sensors are characterized with fast responsive, high specificity and sensitivity. One of the most important parts of the field is that of sensitive elements originated from biological components, which enable the detection of chemical signals by mimicking the biological mechanisms. This book detailed describes processing, devices, recognition principles of sensitive materials, and concrete realizations. It is written for researchers, engineers and biologists who engages in interdisciplinary research and applications. Dr. Ping Wang is a professor at Zhejiang University, Hangzhou, China. Dr. Qingjun Liu is a professor at Zhejiang University, Hangzhou, China. Dr. Chunsheng Wu is an associated professor at Zhejiang University, Hangzhou, China. Dr. K. Jimmy Hsia is a professor at University of Illinois at Urbana-Champaign, Urbana, USA.
Bioinspired Smell and Taste Sensors
Bioinspired Smell and Taste Sensors - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Bioinspired Smell and Taste Sensors write by Ping Wang. This book was released on 2015. Bioinspired Smell and Taste Sensors available in PDF, EPUB and Kindle. This book discusses the field of bioinspired smell and taste sensors which includes many new areas: sensitive materials, physiological modelling and simulation, and more. Similar to biological chemical sensing systems, bioinspired smell and taste sensors are characterized with fast responsive, high specificity and sensitivity. One of the most important parts of the field is that of sensitive elements originated from biological components, which enable the detection of chemical signals by mimicking the biological mechanisms. This book detailed describes processing, devices, recognition principles of sensitive materials, and concrete realizations. It is written for researchers, engineers and biologists who engages in interdisciplinary research and applications. Dr. Ping Wang is a professor at Zhejiang University, Hangzhou, China. Dr. Qingjun Liu is a professor at Zhejiang University, Hangzhou, China. Dr. Chunsheng Wu is an associated professor at Zhejiang University, Hangzhou, China. Dr. K. Jimmy Hsia is a professor at University of Illinois at Urbana-Champaign, Urbana, USA.
Bioinspired solutions to the challenges of chemical sensing
Bioinspired solutions to the challenges of chemical sensing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Bioinspired solutions to the challenges of chemical sensing write by Ramon Huerta. This book was released on . Bioinspired solutions to the challenges of chemical sensing available in PDF, EPUB and Kindle. Chemical sensing is likely the most primordial sensory modality that emerged in the evolution of life. Without chemical sensing life on earth would probably not exist. It is used for detecting nutrients, avoiding threats, finding mating partners and various forms of communication and social interaction between animals. The advent of artificial sensors has created a myriad of problems in the areas of chemical detection and identification with applications in food quality and pollution control, chemical threat detection, health monitoring, robot control and even odor and taste synthesis. Efficient algorithms are needed to address the many challenges of chemical sensing in these areas, including (but not limited to) sensitivity levels, sensor drift, concentration invariance of analyte identity and complex mixtures. Defining and improving analysis methods for artificial chemical sensing remains an active research area in engineering and machine learning alike. In the course of evolution animals, bacteria and plants have developed sophisticated methods and algorithms for solving difficult problems in chemical sensing very efficiently. Complex signalling pathways inside single cells can trigger movement toward the source of a nutrient. Complex networks of neurons appear to be able to compute odor types and the distance to a source in turbulent flows. These networks of neurons use a combination of temporal coding, layered structures, simple Hebbian learning rules, reinforcement learning and inhibition to quickly learn about chemical stimuli that are critical for their survival. Olfaction is a vibrant filed of research because recent technological advances allow monitoring and manipulating brain areas inaccessible in the past thus allowing for rapid progress. This is particularly relevant because to this date the best solutions to many general chemical sensing problems are still found in animals rather than artificial devices. Many lessons may yet have to be learned from biological systems to solve the complex problems of chemical sensing with similar success as animals routinely do. This special issue has the ambitious goal of bringing together biologists and engineers to report on biological solutions and engineering approaches to chemical sensing challenges in order to better understand in what aspects both fields can find common ground of discussion and to thus promote novel areas of interdisciplinary research.
Micro/Nano Cell and Molecular Sensors
Micro/Nano Cell and Molecular Sensors - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Micro/Nano Cell and Molecular Sensors write by Ping Wang. This book was released on 2016-12-01. Micro/Nano Cell and Molecular Sensors available in PDF, EPUB and Kindle. This book focuses on cell- and molecule-based biosensors using micro/nano devices as transducers. After providing basic information on micro/nano cell- and molecule-based biosensors, it introduces readers to the basic structures and properties of micro/nano materials and their applications. The topics covered provide a comprehensive review of the current state of the art in micro/nano cell- and molecule-based biosensors as well as their future development trends, ensuring the book will be of great interest to the interdisciplinary community active in this area: researchers, engineers, biologists, medical scientists, and all those whose work involves related interdisciplinary research and applications. Dr. Ping Wang is a Professor in Department of Biomedical Engineering at Zhejiang University, Hangzhou, China. Dr. Chunsheng Wu is a Professor in Medical School at Xi’an Jiaotong University, Xi’an, China. Dr. Ning Hu is an Assistant researcher in Department of Biomedical Engineering at Zhejiang University and a Postdoctoral researcher in Medical School at Harvard University, Boston, USA. Dr. K. Jimmy Hsia is a Professor in Department of Biomedical Engineering at Carnegie Mellon University, Pittsburgh, USA.
Bio-inspired Materials and Sensing Systems
Bio-inspired Materials and Sensing Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Bio-inspired Materials and Sensing Systems write by Peter D E Biggins. This book was released on 2011-02-08. Bio-inspired Materials and Sensing Systems available in PDF, EPUB and Kindle. Can scientists and engineers replicate Nature and develop systems that operate in extreme environments? Bio-inspiration is an established concept which is developing to meet the needs of the many challenges we face particularly in defence and security. This book explores the potential of bio-inspired materials and sensing systems together with examples of how they are being implemented. It is not an exhaustive study of the subject but provides an overview of how bio-inspired or -derived approaches can be used to enhance components, systems and systems of systems for defence and security applications. Readers will gain an awareness of the complexity and versatility of bio-inspired components as well as an understanding of how these technologies can be applied in a variety of operational scenarios. Consideration is given to using a conceptual model that can be deployed in distributed or autonomous operations. Using this model, bio-inspiration with behavioural science plays a major role in identification, movement, searching strategies and pattern recognition for chemical and biological detection. Examples focus on both learning new things from nature that have application to the defence and security areas and adapting known discoveries for practical use by these communities. This graduate level monograph provides an increased awareness of the need for more sophisticated, networked sensors and systems in the defence and security communities and will be of interest to both specialists in this area and science and technology generalists.
