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Olfactory sensors. --- Olfactometry. --- Smell --- Odor sensors --- Detectors --- Measurement --- Testing

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The “bioelectronic nose”, the device which has a similar function to the human smell sensing system, can be realized by combining the olfactory cells or receptors with nanotechnology. In the last two decades, much has been learned about the smell sensing mechanism in biological systems. With knowledge about the biological olfactory system and the techniques for the expression of biological receptor proteins, we are able to utilize biological materials and systems to mimic the biological olfactory system. In addition to the advances in biological and biotechnological area, nanotechnology has progressed to a great degree. The bioelectronic nose is a good example of the integration of biotechnology and nanotechnology. This book describes basic biological sciences of the olfactory system, biotechnology for the production of olfactory biological elements, and nanotechnology for the development of various sensing devices. The purpose of this book is to provide the reader with a concept, basic sciences, fundamental technologies, applications, and perspectives of the bioelectronic nose.

Olfactory sensors. --- Bioelectronics. --- Electronic biology --- Biology --- Odor sensors --- Detectors --- Smell --- Medicine. --- Biotechnology. --- Biomedical engineering. --- Biomedicine general. --- Biomedical Engineering and Bioengineering. --- Nanoscale Science and Technology. --- Clinical engineering --- Medical engineering --- Bioengineering --- Biophysics --- Engineering --- Medicine --- Chemical engineering --- Genetic engineering --- Clinical sciences --- Medical profession --- Human biology --- Life sciences --- Medical sciences --- Pathology --- Physicians --- Health Workforce --- Nanoscale science. --- Nanoscience. --- Nanostructures. --- Biomedicine, general. --- Nanoscience --- Physics --- Nano science --- Nanoscale science --- Nanosciences --- Science

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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.

Biology - General --- Biology --- Health & Biological Sciences --- Olfactory sensors. --- Biosensors --- Research. --- Biodetectors --- Biological detectors --- Biological sensors --- Biomedical detectors --- Biomedical sensors --- Odor sensors --- Life sciences. --- Biotechnology. --- Biomedical engineering. --- Life Sciences. --- Biological Techniques. --- Biomedical Engineering. --- Technique. --- Detectors --- Medical instruments and apparatus --- Physiological apparatus --- Smell --- Cytology --- Biomedical Engineering and Bioengineering. --- Research --- Methodology. --- Clinical engineering --- Medical engineering --- Bioengineering --- Biophysics --- Engineering --- Medicine --- Cell biology --- Cellular biology --- Cells --- Cytologists --- Chemical engineering --- Genetic engineering --- Biology—Technique.

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This book presents the key technology of electronic noses, and systematically describes how e-noses can be used to automatically analyse odours. Appealing to readers from the fields of artificial intelligence, computer science, electrical engineering, electronics, and instrumentation science, it addresses three main areas: First, readers will learn how to apply machine learning, pattern recognition and signal processing algorithms to real perception tasks. Second, they will be shown how to make their algorithms match their systems once the algorithms don’t work because of the limitation of hardware resources. Third, readers will learn how to make schemes and solutions when the acquired data from their systems is not stable due to the fundamental issues affecting perceptron devices (e.g. sensors). In brief, the book presents and discusses the key technologies and new algorithmic challenges in electronic noses and artificial olfaction. The goal is to promote the industrial application of electronic nose technology in environmental detection, medical diagnosis, food quality control, explosive detection, etc. and to highlight the scientific advances in artificial olfaction and artificial intelligence. The book offers a good reference guide for newcomers to the topic of electronic noses, because it refers to the basic principles and algorithms. At the same time, it clearly presents the key challenges – such as long-term drift, signal uniqueness, and disturbance – and effective and efficient solutions, making it equally valuable for researchers engaged in the science and engineering of sensors, instruments, chemometrics, etc.

Olfactory sensors. --- Gas detectors. --- Intelligent sensors. --- Smart sensors --- Detectors --- Chemical detectors --- Odor sensors --- Smell --- Optical pattern recognition. --- Biometrics. --- Bioinformatics. --- Medical records --- Pattern Recognition. --- Computational Biology/Bioinformatics. --- Health Informatics. --- Data processing. --- EHR systems --- EHR technology --- EHRs (Electronic health records) --- Electronic health records --- Electronic medical records --- EMR systems --- EMRs (Electronic medical records) --- Information storage and retrieval systems --- Bio-informatics --- Biological informatics --- Biology --- Information science --- Computational biology --- Systems biology --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination --- Medical care --- Data processing

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The rise of photonics technologies has driven an extremely fast evolution in biosensing applications. Such rapid progress has created a gap of understanding and insight capability in the general public about advanced sensing systems that have been made progressively available by these new technologies. Thus, there is currently a clear need for moving the meaning of some keywords, such as plasmonic, into the daily vocabulary of a general audience with a reasonable degree of education. The selection of the scientific works reported in this book is carefully balanced between reviews and research papers and has the purpose of presenting a set of applications and case studies sufficiently broad enough to enlighten the reader attention toward the great potential of plasmonic biosensing and the great impact that can be expected in the near future for supporting disease screening and stratification.

gold nanorods --- silica coating --- localized surface plasmon resonance (LSPR) --- surface functionalization --- SPR biosensor --- enzyme --- laccase --- chlorophene --- emerging pollutant --- water sample --- plasmonic nanowires --- molecular sensing --- surface-enhanced Raman spectroscopy --- porous alumina --- TREM2 sensors --- Alzheimer’s disease --- plasmonic interferometry --- optical biosensor --- surface plasmon resonance --- olfactory sensors --- electronic noses --- volatile organic compounds --- odorants --- SPR --- cell-based assay --- viral growth kinetics --- human coronavirus --- hydroxychloroquine --- protease --- caspase --- avidin-biotin interaction --- biosensors --- AuNPs --- metal–graphene hybrid --- simulations --- Mie theory --- African swine fever virus (ASFV) --- loop-mediated isothermal amplification (LAMP) --- surface plasmon resonance (SPR) --- fluorescence detection --- SERS analysis --- plasmonic metal nanoparticles --- hotspots --- hybrid materials