Molecularly Imprinted Polymers for Environmental Monitoring: Fundamentals and applications

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Raju Khan (Central University of Jammu (India)) Ayushi Singhal

Molecularly Imprinted Polymers for Environmental Monitoring

Fundamentals and applications

Raju Khan (Central University of Jammu (India)), Ayushi Singhal

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English

Institute of Physics Publishing
16 August 2023

Biosensors; Environmental monitoring

Series: IOP ebooks

The effects of contamination of environmental pollutants on public health has garnered worldwide attention and research. To reduce the disease threat to human health, the monitoring and analysis of environmental contaminants are crucial. Molecularly Imprinted Polymers (MIPs) are proven to be a stepping stone in the fabrication of nanosensors for various food and environmental monitoring and analysis applications. This multidisciplinary book provides a comprehensive overview of the fabrication and development of molecularly imprinted polymer-based devices for various sensing applications. Overall, this book is intended to provide users with concise and well-framed information about molecularly imprinted polymer-based biosensors, which can be exploited by researchers and device manufacturers for the development of novel sensors and their commercialization for environmental monitoring.

Key Features

Covers the approaches to design novel, cost-effective molecularly imprinted polymer-based sensors for environmental monitoring and analysis Illustrates properties of nanomaterials with the specific recognition of molecularly imprinted polymers for sensitive and specific detection of environmental pollutants Includes a wide variety of environmental monitoring applications for molecularly imprinted polymer-based sensors

Edited by: Raju Khan (Central University of Jammu (India)), Ayushi Singhal
Imprint: Institute of Physics Publishing
Country of Publication: United Kingdom
Dimensions: Height: 254mm, Width: 178mm,
ISBN: 9780750349604
ISBN 10: 0750349603
Series: IOP ebooks
Pages: 320
Publication Date: 16 August 2023
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

1 An introduction to molecularly imprinted polymers: the plastic antibodies 2 Synthesis and characterization of molecularly imprinted polymers 3 Theoretical and computational approaches and strategies in molecularly imprinted polymer development 4 The role of nanomaterials in molecularly imprinted polymers for disease diagnosis 5 Current and emerging techniques for the detection of environmental contaminants 6 The importance of molecularly imprinted polymers in wastewater treatment 7 Molecularly imprinted polymers for the detection of heavy metals 8 Molecularly imprinted polymers for the extraction and sensing of vitamins 9 Molecularly imprinted polymers for the detection of toxic anions 10 Molecularly imprinted polymers for the detection of environmental estrogens 11 Molecularly imprinted polymer based detection of pesticides 12 Molecularly imprinted polymers for the detection of pharmaceutical residues 13 Molecularly imprinted polymers for the sensing of microorganisms 14 Future perspectives on molecularly imprinted polymers for environmental monitoring

Raju Khan is currently working as a Principal Scientist & Associate Professor, CSIR-Advanced Materials and Processes Research Institute (AMPRI), Bhopal, India. He completed his MSc in Chemistry in 2002 and PhD in 2005 from Jamia Milia Islamia, Central University, New Delhi, India. He has more than 15 years of experience in electrochemistry exploring electrochemical properties of nanostructure to design and develop efficient biosensor devices for health care monitoring. Ayushi Singhal is currently pursuing her Doctorate from AcSIR-AMPRI, Bhopal, India. She was a gold medallist in her MSc in Environmental Chemistry from Jiwaji University. Her research specialises in the synthesis of molecularly imprinted polymer, polymer nanocomposites, fabrication of biosensors, and applications of biosensors in analysis and monitoring of environmental pollutants in different matrix.