Buch, Englisch, 496 Seiten, Format (B × H): 173 mm x 257 mm, Gewicht: 1068 g
From Life Sciences to Environmental Sciences
Buch, Englisch, 496 Seiten, Format (B × H): 173 mm x 257 mm, Gewicht: 1068 g
ISBN: 978-3-527-35144-2
Verlag: Wiley-VCH GmbH
Applied Metallomics
A groundbreaking survey of a field that unites the sciences
The metallome of a cellular compartment, such as an enzyme, is the variety and arrangement of its metal ions. Metallomics is the multidisciplinary study of the metallome and its many important interactions with biological molecules and systems. It exists at the intersection of biochemistry and materials science, offering crucial insights into biological processes in which iron, for instance, plays a pivotal role.
Applied Metallomics is an up-to-the-minute overview of research developments in metallomics, offering both analysis and applications in a vast array of scientific and industrial areas. Moving freely between material science, environmental science, health science, and more, it offers a comprehensive survey of this interdisciplinary research area. As the field of metallomics continues to develop and its applications expand, this book will only be a need of the hour
Applied Metallomics readers will also find: - Detailed treatment of nanometallomics, environmetallomics, agrometallomics, and many more
- Coverage of machine learning and artificial intelligence techniques with applications in metallomics
- An author team with vast international research experiences
Applied Metallomics is ideal for researchers in many areas touched by metallomics, that include chemistry, biochemistry, biotechnology, bioinorganic chemistry, and more.
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Chapter 1 Introduction
Chapter 2 Nanometallomics
Chapter 3 Environmetallomics
Chapter 4 Agrometallomics
Chapter 5 Metrometallomics
Chapter 6 Medimetallomics and Clinimetallomics
Chapter 7 Matermetallomics
Chapter 8 Archaeometallomics
Chapter 9 Metallomics in Toxicology
Chapter 10 Pathometallomics: Taking Neurodegenerative Disease as an Example
Chapter 11 Oncometallomics: Metallomics in Cancer Studies
Chapter 12 Bio-elementomics
Chapter 13 Methodology and Tools for Metallomics
Chapter 14 ICP-MS for Single Cell Analysis in Metallomics
Chapter 15 Novel ICP-MS-Based Techniques for Metallomics
Chapter 16 Machine Learning for Data Mining in Metallomics