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Chemical, Gas, and Biosensors for Internet of Things and Related Applications
A thorough resource that links sensor technology fundamentals with IoT applications in many disciplines
Kohji Mitsubayashi (Edited by), Osamu Niwa (Edited by), Yuko Ueno (Edited by)
9780128154090, Elsevier Science
Paperback, published 15 June 2019
406 pages
22.9 x 15.1 x 2.6 cm, 0.63 kg
Chemical, Gas, and Biosensors for the Internet of Things and Related Applications brings together the fields of sensors and analytical chemistry, devices and machines, and network and information technology. This thorough resource enables researchers to effectively collaborate to advance this rapidly expanding, interdisciplinary area of study. As innovative developments in the Internet of Things (IoT) continue to open new possibilities for quality of life improvement, sensor technology must keep pace, Drs. Mitsubayashi, Niwa and Ueno have brought together the top minds in their respective fields to provide the latest information on the numerous uses of this technology. Topics covered include life-assist systems, network monitoring with portable environmental sensors, wireless livestock health monitoring, point-of-care health monitoring, organic electronics and bio-batteries, and more.
Part 1: Sensors and devices for internet of things Applications 1. Biochemical gas sensor (biosniffer) 2. Affinity and immune sensors 3. Enzyme-based sensors 4. Paper based sensors 5. Biochip sensors 6. Sensors for clinical applications 7. Surface acoustic wave (SAW) device gas sensors 8. MEMS biosensors for IoT Part 2: Flexible, wearable, and mobile sensors and related technologies 9. Organic Electronics and bio-batteries 10. Wearable and implantable biosensors 11. Sensors for Point-of-Care Applications 12. Mobile exhaled-gas sensor 13. On-site environmental microorganism/microbial sensors Part 3: Information and network technologies for sensor- internet of things applications 14. Life-assist system by sensor IoT 15. Network monitoring system by using portable environmental sensors 16. livestock health monitoring by using wireless network 17. Big data analysis of field monitoring sensors for agricultural applications
Subject Areas: Biosensors [TCBS], Analytical chemistry [PNF]
