X-Ray Fluorescence Spectroscopy and Chemometrics: Instrumentations, Techniques, and Applications

This book describes recent trends in XRF spectroscopic methods, encompassing energy-dispersive and wavelength-dispersive X-ray fluorescence, synchrotron radiation-based XRF, micro-XRF, and total reflection-XRF. It delivers a comprehensive discussion on X-ray detectors and associated imaging applications, along with an exploration of the analytical capabilities of these methods, including detection limits, accuracy, and precision in measurements for environmental samples. Furthermore, this book discusses the numerous advantages and limitations of these techniques, highlighting the latest developments in algorithms based on machine learning, neural networks, and AI for spectroscopic data interpretation.

This book caters to researchers across various branches of science and technology, aiming to introduce them to modern techniques coupled with advanced data analysis methods. It serves as a valuable reference for those engaged in XRF spectroscopy techniques, hyphenated XRF spectroscopic techniques, and the characterization of biomolecular systems and environmental samples.