1st Edition
Sensors for Next-Generation Electronic Systems and Technologies
The text covers fiber optic sensors for biosensing and photo-detection, graphene and CNT-based sensors for glucose, cholesterol, and dopamine detection, and implantable sensors for detecting physiological, bio-electrical, biochemical, and metabolic changes in a comprehensive manner. It further presents a chapter on sensors for military and aerospace applications. It will be useful for senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics, and communication engineering.
The book
- Discusses implantable sensors for detecting physiological, bio-electrical, biochemical, and metabolic changes
- Covers applications of sensors in diverse fields including healthcare, industrial flow, consumer electronics, and military
- Includes experimental studies such as the detection of biomolecules using SPR sensors and electrochemical sensors for biomolecule detection
- Presents artificial neural networks (ANN) based industrial flow sensor modeling
- Highlights case studies on surface plasmon resonance sensors, MEMS-based fluidic sensors, and MEMS-based electrochemical gas sensors
The text presents case studies on surface plasmon resonance sensors, MEMS-based fluidic sensors, and MEMS-based electrochemical gas sensors in a single volume. The text will be useful for senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics, and communication engineering.
Chapter 1
Fabrication and Study of Fluidic MEMS Device for Toxic Heavy Metal Ions Sensing in Water
K. Karthikeyan, L. Sujatha
Chapter 2
Review of Micro-Electro-mechanical Systems Based Biosensor – A Cellular Base Perspective
A. G. L. N. Adithya, Elizabeth Rufus
Chapter 3
MEMS Electrochemical Gas Sensor
Yasaman Heidari, Mahshid Padash, Mohammadreza Faridafshin
Chapter 4
Electrochemical Biosensors
Mahshid Padash, Mohammadreza Faridafshin, Alireza Nouroozi
Chapter 5
Graphene/Carbon nanotubes Based Biosensors for glucose, cholesterol and dopamine detection
S. S. Jyothirmayee Aravind, S. Assa Aravindh
Chapter 6
Transition Metal Dichalcogenide Based Surface Plasmon Resonance for Bio-Sensing
Sajal Agrawal, Yogendra Kumar Prajapati
Chapter 7
Graphene and Carbon nanotube based sensors
Neeraj Kumar, Prakash Chander Thapliyal
Chapter 8
Intelligent flow sensor using artificial neural networks
Vaegae Naveen Kumar, Komanapalli Venkata Lakshmi Narayana, Komanapalli Gurumurthy
Chapter 9
Smart sensor systems for military and aerospace applications
Parul Raturi, Bijit Choudhuri, P. Chinnamuthu
Chapter 10
Magnetic biosensors: Need and progress
Meruga Udaya, Pratap Kollu
Biography
Dr. K. Venkata Lakshmi Narayana is currently a Professor of School of Electrical Engineering at Vellore Institute of Technology (VIT), Vellore, India. He received the BTech in Electronics and Instrumentation Engineering from the Nagarjuna University, Guntur, India in 2001, and the MTech in Electrical Engineering from the Motilal Nehru National Institute of Technology (MNNIT), Allahabad, India in 2006, and the Ph.D. degree in Instrumentation engineering from the Andhra University, Visakhapatnam, in 2013. He achieved both his BTech and MTech with distinction. He is also the recipient of the Gold Medal in 2016 for his outstanding academic performance in MTech at MNNIT, Allahabad.He has 18 years of experience in both teaching and research. He had completed one research project entitled “Design and Development of Smart Level and Pressure Transmitters for Ethiopian Chemical Industrial Processes” funded by Ministry of Science of Technology, Ethiopia as a principal investigator. He rendered administrative services towards the constant maintenance of academic programs and instructional delivery as ‘program chair’ for Electronics and Instrumentation Engineering, ‘division chair’ for division of Industrial Automation and Instrumentation in School of Electrical Engineering, VIT University, Vellore, India from 15th June, 2013 to 4th January, 2016. He is supervising PhD students (four PhDs have been awarded and one are on-going) and he supervised 15 Dissertation at P.G level and also supervised more than 30 undergraduate students for their final year projects. As a published researcher, He has authored or co-authored over 50 research papers (05 papers in IEEE Sensors Journals and 06 more in other SCI journals) and published in various peer reviewed journals, book chapters and conferences of International repute. He has reviewed a good number of research papers of IEEE Access, IET Science, Measurement & Technology, Journal of Engineering Science and Technology (JESTEC) and Recent Advances in Electrical and Electronic Engineering. His interests are in the area of sensors and signal conditioning, measurements, wireless sensor networks, optimization, process instrumentation and virtual instrumentation.
Dr. P. Uma Sathyakam is working as Assistant Professor in School of Electrical Engineering, Vellore Institute of Technology, Vellore since 2012, from where he did his MS (by Research) in Nanoelectronics and VLSI in 2011 and his PhD in Nanoelectronics in 2018. Prior to this, he did is BSc. Electronics from University of Kerala, Thiruvananthapuram in 2005 and MSc. Applied Electronics from Bharathiar University, Coimbatore with distinction and Gold medal in 2007. He served as a Research Fellow in a MHRD sponsored project on 'Development of online Lab in Microelectronics and VLSI' at VIT. He was also a Research Associate during his MS at VIT. He has more than 13 years of teaching and research experience.His current research interests are Nano-electrodes for supercapacitors, VLSI interconnects, Carbon nanotube electronics, Graphene, Electronic materials and Renewable energy materials. He has authored 3 books and 25 papers in peer reviewed journals and conferences. He is also a peer reviewer for many journals. He has reviewed more than 75 papers for journals from IEEE, Elsevier, Springer, IET, Nature, Taylor & Francis, TransTech Publishers, and Wiley. He is a Senior Member of IEEE EDS/EPS.
