Chemometrics, or the application of multivariate statistics to chemical data, provides informative and statistically valid analyses within a forensic context and there has been an increase in the use of chemometrics to characterise forensic exhibits. Introducing chemometric methods suitable for forensic practitioners, this book fills a gap in the literature outlining how such methods are applied to forensic casework, what limitations to these approaches exist, and future trends emerging in the field. The book highlights how chemometric methods may be applied to different areas of forensic science, enabling more confident and transparent decision-making based on quantitative approaches. It is divided into various sections which include a background to chemometrics, types of chemometric methods, their applications in various disciplines of forensic science, and emerging trends in the field. The detailed discussion of chemometric methods used for the examination of forensic exhibits outlines their advantages, limitations, and efficiency. Providing a centralised source of information addressing the above aspects, and suitable for forensic practitioners, researchers and stakeholders, this book is written for MSc Forensic Science courses and more broadly applications in the biological, chemical and physical sciences.

Chemometrics in Spectroscopy, Second Edition, provides the reader with the methodology crucial to apply chemometrics to real world data. It allows scientists using spectroscopic instruments to find explanations and solutions to their problems when they are confronted with unexpected and unexplained results. Unlike other books on these topics, it explains the root causes of the phenomena that lead to these results. While books on NIR spectroscopy sometimes cover basic chemometrics, they do not mention many of the advanced topics this book discusses. In addition, traditional chemometrics books do not cover spectroscopy to the point of understanding the basis for the underlying phenomena. The second edition has been expanded with 50% more content covering advances in the field that have occurred in the last 10 years, including calibration transfer, units of measure in spectroscopy, principal components, clinical data reporting, classical least squares, regression models, spectral transfer, and more. - Written in the column format of the authors' online magazine - Presents topical and important chapters for those involved in analysis work, both research and routine - Focuses on practical issues in the implementation of chemometrics for NIR Spectroscopy - Includes a companion website with 350 additional color figures that illustrate CLS concepts

Over the past decade, pattern recognition has been one of the fastest growth points in chemometrics. This has been catalysed by the increase in capabilities of automated instruments such as LCMS, GCMS, and NMR, to name a few, to obtain large quantities of data, and, in parallel, the significant growth in applications especially in biomedical analytical chemical measurements of extracts from humans and animals, together with the increased capabilities of desktop computing. The interpretation of such multivariate datasets has required the application and development of new chemometric techniques such as pattern recognition, the focus of this work. Included within the text are: ‘Real world’ pattern recognition case studies from a wide variety of sources including biology, medicine, materials, pharmaceuticals, food, forensics and environmental science; Discussions of methods, many of which are also common in biology, biological analytical chemistry and machine learning; Common tools such as Partial Least Squares and Principal Components Analysis, as well as those that are rarely used in chemometrics such as Self Organising Maps and Support Vector Machines; Representation in full colour; Validation of models and hypothesis testing, and the underlying motivation of the methods, including how to avoid some common pitfalls. Relevant to active chemometricians and analytical scientists in industry, academia and government establishments as well as those involved in applying statistics and computational pattern recognition.

This book offers an accessible introduction to application-oriented multivariate methods of data analysis and procedures that are highly beneficial to solving a variety of problems by using analytical chemistry and statistics. It presents a diverse selection of topics that include experimental designs applied for the optimisation of liquid chromatographic and capillary electrophoresis, variable selection in chemical data, calibration of the first order: data, algorithms, and analytical applications, characterisation of polyphenols from natural products using separation techniques coupled with chemometrics, detection of malignant tumors using FT-IR spectroscopy combined with chemometrics, guidelines in synthesis of new anticancer compounds, direct analysis of solid samples by spectroscopy and chromatographic techniques, application of data fusion in different levels with examples, and analysis of pharmaceutical and food products by various analytical techniques. This book helps thereader embrace the growing role of chemometrics in some of the latest research trends, such as characterisation of polyphenolic compounds in natural, pharmaceutical, and food products in analytical problems, such as classification and quantification using the multivariate calibration of the second order. This book also identifies several areas for future development and applications. The chapters are written by leading experts. Chemometrics: Methods, Applications, and New Research offers a reliable source of useful information in a style that is accessible to all levels of students, professionals, and researchers involved in analysing scientific data.

This book is aimed at the large number of people who need to use chemometrics but do not wish to understand complex mathematics, therefore it offers a comprehensive examination of the field of chemometrics without overwhelming the reader with complex mathematics. * Includes five chapters that cover the basic principles of chemometrics analysis. * Provides two chapters on the use of Excel and MATLAB for chemometrics analysis. * Contains 70 worked problems so that readers can gain a practical understanding of the use of chemometrics.

Chemical Analysis for Forensic Evidence provides readers with the fundamental framework of forensic analytical chemistry, describing the entire process, from crime scene investigation to evidence sampling, laboratory analysis, quality aspects, and reporting and testifying in court. In doing so, important principles and aspects are demonstrated through the various forensic expertise areas in which analytical chemistry plays a key role, including illicit drugs, explosives, toxicology, fire debris analysis and microtraces such as gunshot residues, glass and fibers. This book illuminates the underlying practical framework that governs how analytical chemistry is used in practice by forensic experts to solve crime. Arian van Asten utilizes a hands-on approach with numerous questions, examples, exercises and illustrations to help solidify key concepts and teach them in an engaging way. - Provides a forensic analytical chemistry framework based on how professionals actually use chemistry to solve crimes - Introduces leading principles necessary to forensic practice understanding - Answers key questions with a wealth of illustrations and real-world examples

Chemometrics: Data Treatment and Applications demonstrates the best practices for treating real-world analytical instrument data and how to apply chemometrics to this data. Rather than focusing on the mathematical theory involved in chemometrics, this book is meant for the industrial chemist, and academics and advanced students that want to use chemometrics in practice. Case studies on several applications are presented. Unlike existing literature, this book focuses on best practices, practical realities, and challenges when treating data, rather than on the mathematical theory. It also provides basic information on chemometrics, several chapters on how to treat, and the best practices used to treat, data from different analytical instruments, as well as case studies and uses of chemometrics in different fields. The book is written primarily for analytic chemists as practitioners in analytical laboratories and other industries. It will also be useful to academics and graduate, masters and postdoc students chiefly working in analytical chemistry who want to improve the practical aspects of their research activities. - Presents topical and important chapters for the most-used analytical instruments - Focuses on practical issues in the implementation of chemometrics - Examines advances in the application of chemometrics in several fields - Includes frank perspectives on what works well for the data of a certain analytical instrument given the multiple choices of mathematical models and protocols that can be applied - Covered protocols are heavily illustrated with case studies showing their potential use and the advances in chemometrics