Samira Hosseini

This book offers comprehensive information on all aspects of ELISA, starting with the fundamentals of the immune system. It also reviews the history of analytical assays prior to the advent of ELISA (enzyme-linked immunosorbent assay) and addresses the materials of choice for the fabrication of the platforms, possible biomolecular interactions, different protocols, and evaluation parameters. The book guides readers through the respective steps of the analytical assay, while also familiarizing them with the possible sources of error in the assay. It offers detailed insights into the immobilization techniques used for protein attachment, as well as methods for evaluating the assay and calculating the key parameters, such as sensitivity, specificity, accuracy and limit of detection. In addition, the book explores the advantages and shortcomings of the conventional ELISA, as well as various approaches to improving its performance. In this regard, merging and integrating other technologieswith widely known ELISAs have opened new avenues for the advancement of this immunoassay. Accordingly, the book provides cutting-edge information on integrated platforms such as ELISpot, plasmonic ELISAs, sphere-/bead-based ELISAs, paper-/fiber-based ELISAs and ELISA in micro-devices.

This book is written for statisticians, data analysts, programmers, researchers, professionals, and general consumers on how to perform different types of statistical data analysis for research purposes using R object-oriented programming language and RStudio integrated development environment (IDE). R is an open-source software with a development environment (RStudio) for computing statistics and graphical displays through data manipulation, modeling, and calculation. R packages and supported libraries provide a wide range of functions for programming and analyzing of data. Unlike many of the existing statistical software, R has the added benefit of allowing the users to write more efficient codes by using command-line scripting and vectors. It has several built-in functions and libraries that are extensible and allows the users to define their own (customized) functions on how they expect the program to behave while handling the data, which can also be stored in the simple object system. Therefore, this book serves as both textbook and manual for R statistics particularly in academic research, data analytics, and computer programming targeted to help inform and guide the work of the users. It provides information about different types of statistical data analysis and methods, and the best scenarios for use of each case in R. It gives a hands-on step-by-step practical guide on how to identify and conduct the different parametric and nonparametric procedures. This includes a description of the different conditions or assumptions that are necessary for performing the various statistical methods or tests, and how to understand the results of the methods. The book also covers the different data formats and sources, and how to test for the reliability and validity of the available datasets. Different research experiments, case scenarios, and examples are explained in this book. The book provides a comprehensive description and step-by-step practical hands-on guide to carrying out the different types of statistical analysis in R particularly for research purposes with examples. Ranging from how to import and store datasets in R as objects, how to code and call the methods or functions for manipulating the datasets or objects, factorization, and vectorization, to better reasoning, interpretation, and storage of the results for future use, and graphical visualizations and representations thus congruence of Statistics and Computer programming in Research.

This book presents commonly applied characterization techniques in material science, their brief history and origins, mechanism of operation, advantages and disadvantages, their biosensing applications, and troubleshooting for each technique, while addressing the challenges researchers face when working with these techniques. The book dedicates its focus to identifying physicochemical and electrochemical nature of materials including analyses of morphology, mass spectrometry, and topography, as well as the characterization of elemental, structural, thermal, wettability, electrochemical, and chromatography properties. Additionally, the main features and benefits of using coupled characterization techniques are discussed in this book.

This book presents commonly applied characterization techniques in material science, their brief history and origins, mechanism of operation, advantages and disadvantages, their biosensing applications, and troubleshooting for each technique, while addressing the challenges researchers face when working with these techniques. The book dedicates its focus to identifying physicochemical and electrochemical nature of materials including analyses of morphology, mass spectrometry, and topography, as well as the characterization of elemental, structural, thermal, wettability, electrochemical, and chromatography properties. Additionally, the main features and benefits of using coupled characterization techniques are discussed in this book.

This book highlights the latest advances in bioMEMS for biosensing applications. It comprehensively reviews different detection methods, including colorimetric, fluorescence, luminescence, bioluminescence, chemiluminescence, biochemiluminescence, and electrochemiluminescence, and presents various bioMEMS for each, together with recent examples. The book also offers an overview of the history of BioMEMS and the design and manufacture of the first bioMEMS-based devices.

This book highlights the latest advances in bioMEMS for biosensing applications. It comprehensively reviews different detection methods, including colorimetric, fluorescence, luminescence, bioluminescence, chemiluminescence, biochemiluminescence, and electrochemiluminescence, and presents various bioMEMS for each, together with recent examples. The book also offers an overview of the history of BioMEMS and the design and manufacture of the first bioMEMS-based devices.

This book presents the fundamentals and applications of Matrix Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry (MALDI-ToF-MS) technique. It highlights the basic principles, the history of invention as well as the mechanism of ionization and mass determination using this technique. It describes the fundamental principles and methods for MALDI spectra interpretation and determination of exact chemical structures from experimental data. This book guides the reader through the interpretation of MALDI data where complex macromolecular spectra are simplified in order to present the major principles behind data interpretation. In addition, each chapter describes how MALDI-ToF-MS analysis provides necessary understanding of the copolymer systems that have been designed for specialized biomedical applications.

This book focuses on the creation and development of polymeric platforms (different compositions) from a specific polymer system. This system can be used as an adaptive technique for producing sensitive analytical devices, or for simple integration into existing bioanalytical tools in order to enhance the detection signal.