Armando C. Duarte & Regina Duarte 
Multidimensional Analytical Techniques in Environmental Research [EPUB ebook] 

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