ICP-MS and Trace Element Analysis as Tools for Better Understanding Medical Conditions
- 1st Edition, Volume 97 - May 12, 2022
- Editors: Marco Aurelio Zezzi-Arruda, Jemmyson Romario de Jesus
- Language: English
- Hardback ISBN:9 7 8 - 0 - 4 4 4 - 6 4 3 4 7 - 6
- eBook ISBN:9 7 8 - 0 - 4 4 4 - 6 4 3 4 8 - 3
ICP-MS and Trace Element Analysis as Tools for Better Understanding Medical Conditions, Volume 97 discusses trace elements and how they play an important role in biological functi… Read more

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Request a sales quoteICP-MS and Trace Element Analysis as Tools for Better Understanding Medical Conditions, Volume 97 discusses trace elements and how they play an important role in biological functions and metabolism in the human body. Chapters cover Biomedical analysis by ICP-MS: A focus on single cell, Advanced statistical tools and machine learning applied to trace element analysis associated with medical conditions, ICP-MS as a tool to understand trace element homeostasis in neurological disorders, High-precision isotopic analysis of essential mineral elements – possibilities for medical diagnosis and prognosis, Exploring ICP-MS as a versatile technique: From imaging to chemical speciation, and more.
- Discusses the latest diagnosis/pathologies using ICP-MS analysis
- Covers metals, isotopes and metalorganic species for medical conditions
- Includes ICP-MS-based techniques
For those professionals involved in analytical, biological, toxicological, medical, among others areas, this book will be a useful reference. For graduate/undergraduate students or beginners in the area, this edition will provide valuable information from concepts and applications of ICP-MS for evaluating medical conditions from a transdisciplinary point of view
- Cover image
- Table of Contents
- Title Page
- Copyright
- Contributors to Volume 97
- About the editors
- Preface
- Series editor's preface
- Chapter One: Elemental determination for clinical diagnosis and prognosis: Challenges and trends in sample preparation
- Abstract
- 1: Introduction
- 2: Trace element quantification in life sciences and medicine areas
- 3: Challenges and remarkable conditions in ICP-MS during biological samples analysis
- 4: Sample preparation methods for elemental determination in biological samples by ICP-MS
- 5: Trends and final remarks
- References
- Chapter Two: Advanced statistical tools and machine learning applied to elemental analysis associated with medical conditions
- Abstract
- 1: Introduction
- 2: Limit of detection and imputation
- 3: Data visualization and dimensionality reduction
- 4: Feature selection
- 5: Clustering
- 6: Supervised learning models
- 7: Advanced statistical tools and machine learning applied to elementomics and the study of medical conditions
- 8: Conclusions and perspectives
- Acknowledgements
- References
- Chapter Three: ICP-MS as a tool to understand trace element homeostasis in neurological disorders
- Abstract
- 1: Introduction
- 2: The interaction between trace elements and the main classes of biomolecules allows understand neurological disorders
- 3: State of the art in ICP-MS: The challenge to characterize trace elements in complex biological systems
- 4: Conclusion
- References
- Chapter Four: Biomedical analysis by ICP-MS: A focus on single cell strategies
- Abstract
- 1: Introduction to single cell analysis in biomedicine
- 2: Introduction of individual cells into the ICP-MS: Pneumatic nebulization and laser ablation
- 3: Selected applications of SC-ICP-MS in biomedical analysis
- 4: Conclusions and future perspectives
- References
- Chapter Five: Exploring ICP-MS as a versatile technique: From imaging to chemical speciation analysis
- Abstract
- 1: Introduction
- 2: LA-ICP-MS imaging in clinical research
- 3: Single-particle ICP-MS
- 4: The importance of speciation in health research
- 5: Conclusions and perspectives
- Acknowledgements
- References
- Index
- No. of pages: 198
- Language: English
- Edition: 1
- Volume: 97
- Published: May 12, 2022
- Imprint: Elsevier
- Hardback ISBN: 9780444643476
- eBook ISBN: 9780444643483
MZ
Marco Aurelio Zezzi-Arruda
Director of the Institute of Chemistry – Unicamp (Campinas, Brazil), is Full Professor at the Unicamp, Department of Analytical Chemistry, head of the Sample preparation, spectrometry and mechanization group - GEPAM, and member of the advisory board of the National Institute of Science and Technology - INCT for Bioanalitics. He acted as invited professor at Pau University – Pau, France, and at University of Ballears Island – Palma, Mallorca, Spain. Additionally, he acted as adviser in more than 60 Master Dissertations or PhD Thesis.
He belongs to the advisory board of the Metallomics, Journal of Analytical Atomic Spectrometry, Journal of Integrated Omics, and is Editor-in-Chief of the Brazilian Journal of Analytical Chemistry. He also acts as member of the advisory board of the Brazilian Chemistry Association (ABQ). He received a diversity of Awards along his carrier, in 2019 was admitted as Fellow of the Royal Society of Chemistry, and he is researcher 1A of CNPq.
Author or co-author over 230 research articles, 11-chapter books, 5 patents, over 50 invited lectures in national/international meetings, and Editor of 2 books.
The main research interest includes bioanalytical with emphasis on speciomics, mass and atomic spectrometry, sample preparation, forensic and mechanization.
JR
Jemmyson Romario de Jesus
de Jesus, J.R. holds a Ph.D.'s degree in Sciences with an emphasis in Analytical Chemistry from the University of Campinas (Unicamp, Brazil) (2018). Actually, he is an Assistant Professor in the Department of Chemistry from the Federal University of Viçosa (Minas Gerais, Brazil). De Jesus has experience in the field of bioanalytics, dealing in proteomics and metallomics studies and environmental analysis, as well as developing new materials and sample preparation methods to simplify complex samples. He acts as a Member of the Advisory Board of some scientific journals in the area.
Affiliations and expertise
Department of Chemistry, Federal University of Vicosa, Vicosa, Minas Gerais, BrazilRead ICP-MS and Trace Element Analysis as Tools for Better Understanding Medical Conditions on ScienceDirect