Artificial Olfaction Technologies Characteristics And Analytical Applications
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Artificial Olfaction Technologies: Characteristics And Analytical Applications
Artificial Olfaction Technologies: Characteristics And Analytical Applications explores the rapidly advancing field of artificial olfaction, highlighting innovative technologies that mimic the biological sense of smell for the precise detection of volatile organic compounds (VOCs). The book's chapters provide comprehensive insights into the latest advancements, covering topics such as Artificial olfactory systems: mimicking the sense of smell, Advances in Artificial Olfaction using Insect Odorant Receptors, Biosensors based on insects' olfactory proteins, The Power of Volatilome Analysis in Urological Malignancies, and much more.Other chapters cover Biofluorometric sniffing technologies for measuring and imaging of human-borne volatile markers, The use of instrumental measurements to assess the quality of atmospheric air in terms of odors, Analytical and sensory methods in assessing the efficiency of gas deodorization installations, Advancements in the development of peptide- based biosensors, and Porphyrinoids-based sensors for artificial olfaction. - Provides an in-depth exploration of biomimetic sensor technologies, including applications for insect olfactory proteins and porphyrinoid-based systems - Presents diverse applications in fields such as disease diagnostics, environmental pollutant monitoring, and scent standardization - Focuses on innovative data processing methods and sampling techniques to improve olfactory sensing device performance and selectivity
The Electronic Nose: Artificial Olfaction Technology
Author: Himanshu K. Patel
language: en
Publisher: Springer Science & Business Media
Release Date: 2013-09-13
This book provides the basics of odor, odor analysis techniques, sensors used in odor analysis and overview of odor measurement techniques. For beginners as well researchers this book is a brief guide for odor measurement and analysis. The book includes a special chapter dedicated to practical implementation of e-nose sensor devices with software utility, which guides students to prepare projects and work in practical analysis. It also includes material from early to latest technology research available in the market of e-nose era. Students and researchers who want to learn the basics of biomedical engineering and sensor measurement technology will find this book useful.
Advanced Nondestructive Detection Technologies in Food
This book comprehensively introduces non-destructive methods for food quality (i.e. external, internal, sensory, components, and microbiological indicators) detection, through optics, acoustics, chemistry, imaging, and bionic sensing. It highlights in-situ detection of food quality and safety, including principles, signal processing, and analysis of data, non-destructive detection system, and application in the food industry for each method. First, this book introduces the principles and characteristics of various food non-destructive methods. As non-destructive measurements always involve obtaining big data for each testing, this book also describes in detail the signal and big data processing for each non-destructive method. The chapters also introduce the rapid portable detection equipment for food and agricultural products developed in recent years, as well as the intelligent monitoring equipment in the process of food processing. Relevant application cases are provided to help readers better understanding how to apply non-destructive technology for food quality detection. In the noninvasive measurement of food quality, this book has a systematic introduction of the detection principle, data processing, and rapid detection system, in-field detection case studies. This book is novel and practical and can be used as a professional textbook for undergraduates majoring in food science and engineering. It can also be used as a reference book for scientific research and technical personnel engaged in the field of food quality and safety detection.