ICP-MS and Trace Element Analysis as Tools for Better Understanding Medical Conditions

by Marco Aurelio Zezzi-Arruda (Editor), Jemmyson Romario de Jesus (Editor)

Overview

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 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.

Product Details

ISBN-13:	9780444643476
Publisher:	Elsevier Science
Publication date:	05/12/2022
Series:	Comprehensive Analytical Chemistry , #97
Pages:	198
Product dimensions:	6.00(w) x 9.00(h) x (d)

About the Author

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.

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.

Table of Contents

Preface
Marco Aurélio Zezzi Arruda and Jemmyson Romário de Jesus
1. Elemental determination for clinical diagnosis and prognosis: Challenges and trends in sample preparation
Marcia Foster Mesko, Alessandra Schneider Henn, Diogo La Rosa Novo, Ethel Antunes Wilhelm and Erico Marlon Moraes Flores
2. Advanced statistical tools and machine learning applied to elemental analysis associated with medical conditions
George L. Donati
3. ICP-MS as a tool to understand trace element homeostasis in neurological disorders
Jemmyson Romário de Jesus, Edileuza Marcelo Vieira, Jéssica Passos de Carvalho and Lucas Hestevan Malta Alfredo
4. Biomedical analysis by ICP-MS: A focus on single cell
Maria Montes Bayón, Mario Corte-Rodríguez, Roberto Álvarez-Fernández and Juliana Severo Fagundes
5. Exploring ICP-MS as a versatile technique: From imaging to chemical speciation analysis
Renata Amais, Aline Martins de Andrade, Ana Beatriz Santos da Silva, Daniel Carneiro Freitas, Danielle da Silva Francischini, Alan James Stewart and Marco Aurélio Zezzi Arruda

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From the Publisher

Discusses how to unravels medical conditions through ICP-MS-based techniques