Biosensors Based on Graphene, Graphene Oxide and Graphynes for Early Detection of Cancer — 1st Edition

📘 Biosensors Based on Graphene, Graphene Oxide and Graphynes for Early Detection of Cancer — 1st Edition

🔎 Book Overview and Topics

This book examines carbon-based nanomaterials and their potential use in developing cancer-detection biosensors. It approaches early-detection research from both materials-science and analytical perspectives.

Clinical and Research Topics

• Structural and electronic properties of graphene-related materials.
• Synthesis, functionalization and characterization of carbon nanomaterials.
• Sensor architectures for binding or detecting cancer-associated biomarkers.
• Electrochemical and other transduction principles.
• Optimization of selectivity, reproducibility and measurement range.
• Practical limitations of real biological samples and clinical translation.

Study Perspective

Early-detection technologies require much more than a promising proof of concept. The material should be interpreted with attention to sample preparation, false-positive results, assay validation and the limitations of models.

Who Should Read This Book?

Nanoscientists, materials chemists, biosensor developers, clinical research professionals and advanced students.

Edition & Digital Product Details

Edition: First edition, as listed in this product. Research title supplied in PDF format.

Digital format: English PDF eBook. Only the configured file is included; no physical publication or external service is supplied. This WordPress listing remains a draft until its digital file and publication details are confirmed.

Publisher Edition Information

Title: Biosensors Based on Graphene, Graphene Oxide and Graphynes for Early Detection of Cancer.
Authors: Pallavi Jain and collaborators.
Publisher: CRC Press.
First-edition copyright: 2025.
Print ISBN: 9781032792798.

Publisher identifiers refer to the named book edition; the contents of the configured PDF download should be checked separately before publication.

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