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Carbon-Based Nanomaterials in Biosystems: Biophysical Interface at Lower Dimensions

Contributor(s): Biswas, Kunal (Editor), Mohanta, Yugal Kishore (Editor), Mohanta, Tapan Kumar (Editor), Saravanan, Muthupandian (Editor)

ISBN: 9780443155086

Publisher: Academic Press

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Pub Date: April 26, 2024

Lexile Code: 0000

Target Age Group: NA to NA

Physical Info: 1.31" H x 9.31" L x 7.31" W ( 2.91 lbs) 644 pages

Series: Progress in Biochemistry and Biotechnology

Descriptions, Reviews, etc.

Description:

Carbon-Based Nanomaterials in Biosystems: Biophysical interface at Lower Dimensions provides a thoroughly comprehensive overview of all major aspects of carbon-based nanomaterials, their biophysical response, and biotechnological applications. The book articulates the underlying physics, chemistry, and the basic phenomenon of the broad-range carbon-based nanomaterials (CNMs) with biological systems, particularly the interface analysis. Organized in six sections, it discusses state-of art technological interventions of carbon-based nanomaterials and their application in biomedical sectors in healthcare, food sciences, and technology. The book also highlights the carrying capacity of different CNMs in payload efficiency mechanisms in various biomedical fields. The theranostic efficiency and the safety of various forms of CNMs is assessed. This book will be a helpful resource to those specializing in the areas of nanomedicine, bionanomaterials, and nanotechnology applications.

Brief description:

Dr. Kunal Biswas is an Assistant Professor (Research) at the Centre for Nanoscience and Nanotechnology, International Research Centre, Sathyabama Institute of Science and Technology, India. He holds a Master's degree in Nanoscience and Technology from Tezpur Central University and a PhD in Biotechnology from Maulana Abul Kalam Azad University of Technology. Dr. Biswas's research focuses on nano-biotechnology, encompassing material engineering, nano-biosensors, sensor fabrication, synthetic biology, and the nano-bio interface. He is also interested on the application of machine learning and deep learning techniques in materials science and engineering. His expertise lies particularly in carbonaceous nanomaterials and their diverse applications across material sciences and biotechnology.

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