Marko Haramija, PhD
Assistant Professor, Department of biotechnology, University of Rijeka, Croatia

Series: Chemistry Research and Applications
BISAC: SCI078000

The solved problems in this book give introduction to principles of data analysis in the field of mass spectrometry of biomolecules. The book is focused on MS and MS/MS analysis of peptides, oligosaccharides, lipids, glycoconjugates and polyphenols. Apart from data analysis, the book also gives more insight into diversity of MS instrumentation and sample preparation. This book can be considered as a second part of Introduction to Mass Spectrometry of Biomolecules: Theory and Principles, for students who wish to learn more about what does it mean to be a mass spectrometrist in a modern MS laboratory. Therefore it is not recommended as a standalone product for newcomers to the field. On the other hand, for those who already know MS basics, this book can be much more valuable, since it only covers the practical aspects of MS. However, these books complement each other and are meant to be read together for maximum benefit.

These solved problems were presented for newcomers to the MS field, and therefore learning about basics of MS, presented in Introduction to Mass Spectrometry of Biomolecules: Theory and Principles is highly recommended. After studying the material presented in both books, the reader will gain basic understand of the following MS-related terms: MALDI, ESI, monoisotopic mass, isotope distribution, resolution, accurate mass measurement, quadrupole, time of flight, ion trap, MS mapping, MS/MS sequencing and structural analysis, MSn analysis, precursor ion scan, neutral loss scan, single reaction monitoring and multiple reaction monitoring. More importantly, the reader will know importance of all these terms for analysis of peptides, oligosaccharides, glycoconjugates, lipids and polyphenols. In the end, it is my hope that the reader will be able to understand principles of MS analyses related to their scientific and/or analytical interest, as well as design/help design MS and MS/MS experiments, as well as interpret the obtained data. (Imprint: Nova)