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X Ray Spectroscopy
This is a comprehensive note on X-ray spectroscopy techniques, aimed at detailing their applications in different fields, with an emphasis on the special applications in nanoparticles and molecular mechanisms. It begins with the introduction of XRF processes and techniques followed by high-resolution X-ray spectroscopy using compound semiconductor detectors and digital pulse processing systems. It also includes analytic applications of X-ray techniques, including dispersive X-ray spectroscopy as well as quantification in X-ray fluorescence spectrometry. In addition, it approaches specialized uses such as time-resolved X-ray absorption spectroscopy in the study of metalloproteins and the application of soft X-rays in astrochemistry. The note concludes discussing nanoscale chemical analysis that highlights energy dispersive X-ray spectroscopy (EDX) and transmission electron microscopy (TEM) with relevance to the characterization of interfaces and materials on the nanoscale.
Author(s): Shatendra K. Sharma
290 Pages 
This resource from the Scripps Center for Metabolomics introduces the fundamental concepts of mass spectrometry (MS), so it is very good for beginners. It includes the most essential facts about MS that concern the principles of ionization, mass analyzers, and detectors, as well as information on the vacuum system required for MS analysis. The note gives foundational knowledge of how MS works: from the generation of ions from a sample to the separation process and on to detection. Suitable for practitioners who are just beginning a career in analytical chemistry or metabolomics, it provides an easily accessible introduction to the technology and applications in the analysis of complex molecular systems.
Author(s): Scripps Center for Metabolomics
NA Pages
This advanced PDF explores mass spectrometry from the computational and algorithmic perspective. Peptide de novo sequencing, database searching, and comparing mass spectra using significance testing, such as p-values and E-values, are discussed in this note. It also covers isotope distributions and fragmentation patterns to shed light on the mathematical aspects behind its analysis of mass spectrometry data. It reaches more complex dimensions and discusses issues like glycan sequencing, machine learning, and decomposition of the isotope pattern. Finally, the note is an invaluable resource for anyone interested in mass spectrometry and computational methods, providing a foundation for yet more complicated applications in bioinformatics and structural biology.
Author(s): Sebastian Bocker
253 Pages