Novel Nanostructured Carbon Materials (NCMs) for Enhancing Targeted Delivery of Cancer Therapeutics

The book demonstrates the designing and novel supramolecular self-assembly carbon nanomaterial’s as stimuli-responsive drug delivery platforms for cancer therapy through its chapters.This book provides some achievements in the use of CBNMs for biomedical applications. Moreover, in this book we also focus on some recently found key features of CBNMs and their utilization for superior bio-applications. However, as CBNMs still contain toxicity, more systematic studies are needed to determine the toxicity and pharmacokinetics of CBNMs. The book discusses Carbon—based nanomaterials (CBNMs) have attracted substantial research interest in biomedical sciences and nanobiotechnological, rendered from its unique structure, electronic, mechanical, and optical properties. By taking advantage of such aspects in a single entity, CBNMs could be used for developing biomedical applications in future. Results so far have shown that proper fictionalization is essential to yield biocompatible CNMs which are able to deliver either drugs or genes into brain through local or systemic injection. In this book special emphasis is placed on the implications of these interaction modes to design novel stimuli-responsive drug delivery principles and concepts, aiming to enhance the spatial, temporal, and dosage precision of drug delivery to cancer cells. The book has been satisfying the biomedical applications of carbon—based nanomaterials (CBNMs) in drug delivery for cancer diagnosis and therapy. As a future perspective, the advantages and disadvantages of CBNMs should be weighed against that of other drug delivery systems since each of these systems has pros and cons considering the type of disease, delivery path, drug molecule properties, and DNA sequence. Finally, future perspectives are discussed to highlight current challenges and future opportunities in self-assembly-based stimuli-responsive drug delivery nanotechnologies for cancer therapy.