
Overview
- Analyses an IoT enabled smart sensing system, graphene-PDMS sensors and MEMS-based interdigital sensors
- Provides state-of-the-art information on sensor-based nitrate measurement and point-of-care testing in water-quality monitoring
- Offers a valuable reference tool for engineering, chemical and biomedical students, as well as health professionals
Part of the book series: Smart Sensors, Measurement and Instrumentation (SSMI, volume 35)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
About this book
This book presents the design and development of an Internet of Things (IoT) enabled, smart sensor to detect nitrate contamination in natural water. It considers three different sensors designed, fabricated and configured for nitrate detection: a Graphite/PDMS and Si-based MEMS sensors, and aFR4-based sensor. It also introduces a selective polymer material developed by means of the ion imprinting polymerization technique that was used as a coating on the Si-based MEMS sensor. Further, the book discusses the development of a smart sensing system that can be used to remotely monitor the nitrate concentration in any water. Fully explaining all the techniques used, the book is of interest to engineers, researchers and scientists working in the field of the water-quality measurement.
Similar content being viewed by others
Keywords
Table of contents (8 chapters)
Authors and Affiliations
Bibliographic Information
Book Title: Smart Nitrate Sensor
Book Subtitle: Internet of Things Enabled Real-Time Water Quality Monitoring
Authors: Md Eshrat E. Alahi, Subhas Chandra Mukhopadhyay
Series Title: Smart Sensors, Measurement and Instrumentation
DOI: https://doi.org/10.1007/978-3-030-20095-4
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-20094-7Published: 20 May 2019
eBook ISBN: 978-3-030-20095-4Published: 09 May 2019
Series ISSN: 2194-8402
Series E-ISSN: 2194-8410
Edition Number: 1
Number of Pages: X, 132
Topics: Cyber-physical systems, IoT, Water Quality/Water Pollution, Electrochemistry