Multidimensional Analytical Techniques in Environmental Research

Regina Duarte · Armando C. Duarte

2020년 6월 · Elsevier

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eBook 정보

Multidimensional Analytical Techniques in Environmental Research is a comprehensive resource on the many multidimensional analytical strategies to qualitatively and quantitatively assess and map the organic and inorganic pollutants in complex atmospheric, water and soil matrices. During the past two decades, the rapidly-evolving field of analytical instrumentation has produced sophisticated multidimensional tools capable of providing unique and in-depth knowledge on the chemical features of complex mixtures from these different environmental matrices. This book brings together the wealth of information in the current literature, assisting in the decision-making process by covering both the fundamentals and applications of these methodologies. Sections cover the wide variety of multidimensional analytical techniques, including multidimensional solution- and solid-state nuclear magnetic resonance (NMR) spectroscopy, ultrahigh-resolution mass spectrometry (MS), two-dimensional correlation spectroscopy, two-dimensional liquid and gas chromatography and capillary electrophoresis coupled to high-resolution detection techniques, and excitation-emission (EEM) fluorescence spectroscopy assisted by multiway data analysis tools, and the use of synchrotron-radiation-based techniques combined with other spectroscopic approaches to explore and map the speciation of elements. - Identifies state-of-the-art multidimensional analytical methods for targeted and untargeted profiling of complex mixtures from different environmental matrices (soil, sediment, water, and air) - Assesses the advantages and limitations of the most modern and sophisticated multidimensional analytical methods in environmental research - Highlights the current challenges and potential future directions in the application of multidimensional analytical tools to advance the current understanding on the dynamics and fate of environmental pollutants in different environmental matrices

저자 정보

Dr. Regina Duarte obtained a degree in Analytical Chemistry (1998), a MSc in Sciences of the Coastal Zone (2001), and a PhD in Chemistry (2006), all at the University of Aveiro. Currently, she is Principal Researcher at the Centre for Environmental and Marine Studies (CESAM) at University of Aveiro. Her research is focused on the development of new multidimensional analytical research strategies aiming at understanding the structural features of natural organic matter and its interactions with contaminants of environmental interest, mainly in atmospheric and aquatic systems. She has coordinated/participated in several multidisciplinary research projects related to the characterization of complex organic matrices from atmospheric particles, water and soils. She has authored/co-authored more than 40 peer-reviewed publications.

Prof. Armando C. Duarte (http://www.cesam.ua.pt/aduarte) graduated in Chemical Engineering (1977) at the University of Oporto (Portugal) and obtained a PhD in Public Health Engineering (1981) at the University of Newcastle-upon-Tyne (United Kingdom). In 2006, The Portuguese Science Foundation (www.fct.pt) awarded him a prize for Scientific Excellence and in 2013 he became a Member of the FCT Scientific Council for Natural and Environmental Sciences. He is a Professor of Environmental & Analytical Chemistry at the University of Aveiro (Portugal) since 1995, leader of a research group on the same subject, lecturer on Anaytical Quality Control subjects, and either supervising or co-supervising many PhD students, some of whom became members of staff, both as lecturers and researchers. His highly-interdisciplinary research spans areas of comprehensive environmental and analytical chemistry, qualimetrics and analytical quality assurance, but also includes the assessment of the relevance of new concepts and integration of different ideas into widely accepted frameworks, especially when applied to sustainability. He co-authored more than 450 peer-reviewed publications leading to an h-factor of 38.