Advanced Trace Analysis

Advanced Trace Analysis in six chapters, by eminent scientists, discusses statistical approaches to verify trace element analysis data, trace analysis techniques like ICPMS and XRF, ion beam analysis techniques, speciation analysis of uranium relevant to waste disposal and management along with the use of greener techniques for trace elemental speciation analysis.

This handbook is unique in its comprehensive coverage of the subject and focus on practical applications in diverse fields. It includes methods for sample preparation, the role of certified reference materials, calibration methods and statistical evaluation of the results. Problems concerning inorganic and bioinorganic speciation analysis, as well as special aspects such as trace analysis of noble metals, radionuclides and volatile organic compounds are also discussed. A significant part of the content presents applications of methods and procedures in medicine (metabolomics and therapeutic drug monitoring); pharmacy (the analysis of contaminants in drugs); studies of environmental samples; food samples and forensic analytics – essential examples that will also facilitate problem solving in related areas.

This book provides a serious introduction to the subject of mass spectrometry, providing the reader with the tools and information to be well prepared to perform such demanding work in a real-life laboratory. This essential tool bridges several subjects and many disciplines including pharmaceutical, environmental and biomedical analysis that are utilizing mass spectrometry: Covers all aspects of the use of mass spectrometry for quantitation purposes Written in textbook style to facilitate understanding of this topic Presents fundamentals and real-world examples in a ‘learning-though-doing’ style

Provides the basic skills and information required to prepare an environmental sample for analysis. Divided into two sections, i.e. Inorganic Analysis and Organic Analysis, this book covers selected techniques, principally atomic spectroscopy and chromatography. Using flow diagrams to augment the experimental information, it highlights the most appropriate methods and the likely results. Detailed experimental information provided in an easy-to-follow style with illustrations Describes the specific sample preparation approaches necessary to analyse a particular sample type Discussion of selected literature sources highlights the most appropriate methods and the likely results obtained

Understand the fundamental factors of data storage system performance and master an essential analytical skill using block trace via applications such as MATLAB and Python tools. You will increase your productivity and learn the best techniques for doing specific tasks (such as analyzing the IO pattern in a quantitative way, identifying the storage system bottleneck, and designing the cache policy). In the new era of IoT, big data, and cloud systems, better performance and higher density of storage systems has become crucial. To increase data storage density, new techniques have evolved and hybrid and parallel access techniques—together with specially designed IO scheduling and data migration algorithms—are being deployed to develop high-performance data storage solutions. Among the various storage system performance analysis techniques, IO event trace analysis (block-level trace analysis particularly) is one of the most common approaches for system optimization and design. However, the task of completing a systematic survey is challenging and very few works on this topic exist. Block Trace Analysis and Storage System Optimization brings together theoretical analysis (such as IO qualitative properties and quantitative metrics) and practical tools (such as trace parsing, analysis, and results reporting perspectives). The book provides content on block-level trace analysis techniques, and includes case studies to illustrate how these techniques and tools can be applied in real applications (such as SSHD, RAID, Hadoop, and Ceph systems). What You’ll Learn Understand the fundamental factors of data storage system performance Master an essential analytical skill using block trace via various applications Distinguish how the IO pattern differs in the block level from the file level Know how the sequential HDFS request becomes “fragmented” in final storage devices Perform trace analysis tasks with a tool based on the MATLAB and Python platforms Who This Book Is For IT professionals interested in storage system performance optimization: network administrators, data storage managers, data storage engineers, storage network engineers, systems engineers

With the popularity of the "CSI" franchise and other shows that shine the light on forensics, this book will keep your readers' interest. It's a great preliminary resource for reluctant readers as well.