Supramolecular Nanotechnology

This unique handbook is a unique resource on all important aspects of supramolecular nanotechnology, from synthesis and characterization to applications in catalysis, imaging, and biomedicine.

Autorentext
Omar Azzaroni is Adjunct Professor of Physical Chemistry at the Universidad Nacional de La Plata, Argentina. After his PhD in chemistry 2004, he carried out postdoctoral studies at the University of Cambridge, UK, and the Max Planck Institute for Polymer Research, Germany. He is currently a fellow of the Argentinian National Scientific and Technical Research Council (CONICET) and head of the Soft Matter Laboratory at the Universidad Nacional de La Plata. His research interests include nanostructured hybrid interfaces, supra- and macromolecular materials science and soft nanotechnology.

Martin Conda-Sheridan is Assistant Professor in the Department of Pharmaceutical Sciences at the University of Nebraska Medical Center, USA. He received his BSc in chemistry from Brigham Young University, a MSc degree in chemistry from the University of Utah, and his PhD degree in medicinal chemistry and molecular pharmacology from Purdue University. Thereafter, he performed postdoctoral research at Northwestern University. He started his independent career at UNMC in 2015. Professor Conda-Sheridan has authored more than 30 scientific publications and is a recipient of the National Science Foundation Career Award.

Inhalt
PART 1. SYNTHESIS OF MOLECULAR AND SUPRAMOLECULAR SYSTEMS
Peptide-Based Supramolecular Structures
Polymeric Self-Assembling Materials
DNA Nanoassemblies
Self-Assembling Proteins
Peptoids
Hybrid Supramolecular Materials
PART 2. CHARACTERIZATION OF SELF-ASSEMBLED NANOSTRUCTURES
Microscopy Techniques: AFM, TEM, SEM, STORM
Solution Characterization: SAXS, DLS, NTA, DOSY-NMR
Gel Characterization: Rheology, AFM-Nanoindentation, SEM
Atomistic Simulations and MD
Coarse-Grained Simulations
PART 3. APPLICATION IN CHEMISTRY, BIOLOGY, AND MEDICINE
Cancer Therapies
Infectious Disease
Imaging and Sensing
Catalysis
Regenerative Medicine
Artificial Intelligence and Machine Learning
Optoelectronics