An in-depth text that explores the interface between analytical chemistry and trace evidence Analytical Techniques in Forensic Science is a comprehensive guide written in accessible terms that examines the interface between analytical chemistry and trace evidence in forensic science. With contributions from noted experts on the topic, the text features a detailed introduction analysis in forensic science and then subsequent chapters explore the laboratory techniques grouped by shared operating principles. For each technique, the authors incorporate specific theory, application to forensic analytics, interpretation, forensic specific developments, and illustrative case studies. Forensic techniques covered include UV-Vis and vibrational spectroscopy, mass spectrometry and gas and liquid chromatography. The applications reviewed include evidence types such as fibers, paint, drugs and explosives. The authors highlight data collection, subsequent analysis, what information has been obtained and what this means in the context of a case. The text shows how analytical chemistry and trace evidence can problem solve the nature of much of forensic analysis. This important text: Puts the focus on trace evidence and analytical science Contains case studies that illustrate theory in practice Includes contributions from experts on the topics of instrumentation, theory, and case examples Explores novel and future applications for analytical techniques Written for undergraduate and graduate students in forensic chemistry and forensic practitioners and researchers, Analytical Techniques in Forensic Science offers a text that bridges the gap between introductory textbooks and professional level literature.

Handbook of Analytical Techniques for Forensic Samples: Current and Emerging Developments discusses in detail the current trends and latest analytical techniques and methods commonly employed in forensic analysis in order to ensure the proper facilitation of justice. This book is useful for readers who wish to stay updated on the latest trends in the forensic analysis of samples encountered at crime scenes. Technological advancements, such as biosensors, nanotechnology, and taggant technology have upped the level of analysis in forensic science. These emergent technologies, incorporated with existing analytical techniques, are leading to more precise, accurate, and specific examination of forensic samples. Lab-on-a-chip technology has also eased several kinds of on-site analyses done by investigating teams at different types of crime scenes. This book covers the evolution of forensic sample analysis as well as these emerging trends and new technologies. Includes an entire section of experimental exercises for self-teaching and key concept review Covers laboratory protocols used in forensic science laboratories for the analysis of various samples through different analytical techniques Condenses the many aspects of forensic analytical chemistry into a single resource with easy-to-understand language for everyone from students to practitioners

The book will be an open learning / distance learning text in the Analytical Techniques for the Sciences (AnTS) covering analytical techniques used in forensic science. No prior knowledge of the analytical techniques will be required by the reader. An introductory chapter will provide an overview of the science of the materials used as forensic evidence. Each of the following chapters will describe the techniques used in forensic analysis. The theory, instrumentation and sampling techniques will be explained and examples of the application of each technique to particular forensic samples will be provided. The reader will be able to assess their understanding with the use of regular self assessment questions and discussion questions throughout the book. The user of the book will be able to apply their understanding to the application of specific techniques to particular analyses encountered in their professional life.

Discover how to detect fraud, biases, or errors in your data using Access or Excel With over 300 images, Forensic Analytics reviews and shows how twenty substantive and rigorous tests can be used to detect fraud, errors, estimates, or biases in your data. For each test, the original data is shown with the steps needed to get to the final result. The tests range from high-level data overviews to assess the reasonableness of data, to highly focused tests that give small samples of highly suspicious transactions. These tests are relevant to your organization, whether small or large, for profit, nonprofit, or government-related. Demonstrates how to use Access, Excel, and PowerPoint in a forensic setting Explores use of statistical techniques such as Benford's Law, descriptive statistics, correlation, and time-series analysis to detect fraud and errors Discusses the detection of financial statement fraud using various statistical approaches Explains how to score locations, agents, customers, or employees for fraud risk Shows you how to become the data analytics expert in your organization Forensic Analytics shows how you can use Microsoft Access and Excel as your primary data interrogation tools to find exceptional, irregular, and anomalous records.

Become the forensic analytics expert in your organization using effective and efficient data analysis tests to find anomalies, biases, and potential fraud—the updated new edition Forensic Analytics reviews the methods and techniques that forensic accountants can use to detect intentional and unintentional errors, fraud, and biases. This updated second edition shows accountants and auditors how analyzing their corporate or public sector data can highlight transactions, balances, or subsets of transactions or balances in need of attention. These tests are made up of a set of initial high-level overview tests followed by a series of more focused tests. These focused tests use a variety of quantitative methods including Benford’s Law, outlier detection, the detection of duplicates, a comparison to benchmarks, time-series methods, risk-scoring, and sometimes simply statistical logic. The tests in the new edition include the newly developed vector variation score that quantifies the change in an array of data from one period to the next. The goals of the tests are to either produce a small sample of suspicious transactions, a small set of transaction groups, or a risk score related to individual transactions or a group of items. The new edition includes over two hundred figures. Each chapter, where applicable, includes one or more cases showing how the tests under discussion could have detected the fraud or anomalies. The new edition also includes two chapters each describing multi-million-dollar fraud schemes and the insights that can be learned from those examples. These interesting real-world examples help to make the text accessible and understandable for accounting professionals and accounting students without rigorous backgrounds in mathematics and statistics. Emphasizing practical applications, the new edition shows how to use either Excel or Access to run these analytics tests. The book also has some coverage on using Minitab, IDEA, R, and Tableau to run forensic-focused tests. The use of SAS and Power BI rounds out the software coverage. The software screenshots use the latest versions of the software available at the time of writing. This authoritative book: Describes the use of statistically-based techniques including Benford’s Law, descriptive statistics, and the vector variation score to detect errors and anomalies Shows how to run most of the tests in Access and Excel, and other data analysis software packages for a small sample of the tests Applies the tests under review in each chapter to the same purchasing card data from a government entity Includes interesting cases studies throughout that are linked to the tests being reviewed. Includes two comprehensive case studies where data analytics could have detected the frauds before they reached multi-million-dollar levels Includes a continually-updated companion website with the data sets used in the chapters, the queries used in the chapters, extra coverage of some topics or cases, end of chapter questions, and end of chapter cases. Written by a prominent educator and researcher in forensic accounting and auditing, the new edition of Forensic Analytics: Methods and Techniques for Forensic Accounting Investigations is an essential resource for forensic accountants, auditors, comptrollers, fraud investigators, and graduate students.

Forensic analysis relates to the development of analytical methods from laboratory applications to in-field and in situ applications to resolve criminal cases. There has been a rapid expansion in the past few years in this area, which has led to an increase in the output of literature. This is the first book that brings together the understanding of the analytical techniques and how these influence the outcome of a forensic investigation. Starting with a brief introduction of the chemical analysis for forensic application, some forensic sampling and sample preparation, the book then describes techniques used in forensic chemical sensing in order to solve crimes. The techniques describe current forensic science practices in analytical chemistry and specifically the development of portable detectors to guide the authorities in the field. The book provides an excellent combination of current issues in forensic analytical methods for the graduates and professionals. It will cover the essential principles for students and directly relate the techniques to applications in real situations.

The book "Technology in Forensic Science" provides an integrated approach by reviewing the usage of modern forensic tools as well as the methods for interpretation of the results. Starting with best practices on sample taking, the book then reviews analytical methods such as high-resolution microscopy and chromatography, biometric approaches, and advanced sensor technology as well as emerging technologies such as nanotechnology and taggant technology. It concludes with an outlook to emerging methods such as AI-based approaches to forensic investigations.