Simultaneous Mass Transfer and Chemical Reactions in Engineering Science A comprehensive look at the basic science of diffusional process and mass transfer Mass transfer as a principle is an essential part of numerous unit operations in biomolecular, chemical, and process engineering; crystallization, distillation, and membrane separation processes, for example, use this important method. Given this significance particularly in engineering design where these processes occur understanding the design and analysis of such unit operations must begin with a basic understanding of how simultaneous mass transfer and the chemical reactions that influence these occurrences. It is also vital to be aware of the most up-to-date technologies for analyzing and predicting the phenomena. Given the significance of this process, Simultaneous Mass Transfer and Chemical Reactions in Engineering Science is an important resource as it introduces the reader to the complex subject of simultaneous mass transfer with biochemical and chemical reactions and gives them the tools to develop an applicable design. Analyzing the systems of simultaneous mass transfer and reactions is at the core of this book, as all known design approaches are carefully examined and compared. The volume also provides the reader with a working knowledge of the latest technologies with a special focus on the open-sourced computer programming language R and how these tools are an essential resource in quantitative assessment in analysis models. Simultaneous Mass Transfer and Chemical Reactions in Engineering Science provides a working knowledge of the latest information on simultaneous mass transfer and reactions by focusing on the analysis of this process, as well as discussing the existence and distinctive quality of the solutions to the Simultaneous Mass Transfer and Chemical Reactions in Engineering Science readers will also find: A theoretical basis of each design model that is carefully stated, compared, and assessed Carefully developed and established Existence and Uniqueness Theorems for a general design model Comprehensive coverage of how the programming language R may be used to analyze models Numerous examples and case studies that provide a working knowledge of simultaneous mass transfer and reactions Simultaneous Mass Transfer and Chemical Reactions in Engineering Science is a useful reference for students in chemical engineering, biotechnology, or chemistry, as well as professional process and chemical engineers.

Simultaneous mass transfer with biochemical and chemical reactions is a complex subject, particular with the need to develop a clear-cut method in engineering design where these processes occur. This book provides such an approach to develop an applicable design.All known design approaches are carefully examined and compared, with emphasis on the advantages and disadvantages in the selection of design methods. This involves carefully stating, comparing and assessing the theoretical basis of each design model. Carefully developed Existence and Uniqueness Theorems for the general design model are developed and established; step-by-step design guidelines provided.

Preface1. INTRODUCTION TO SIMULTANEOUS MASS TRANSFER ANDCHEMICAL REACTIONS IN ENGINEERING SCIENCE1.1 Mathematical Models1.2 Diffusion Models for Environmental Transport2. DATA ANALYSIS USING R PROGRAMMING2.1 Data and Processing2.2 Beginning R2.2.1 A First Session Using R2.2.2 The R Environment2.3 R as a Calculator2.3.1 Mathematical Operations Using R2.3.2 Assignment of Values in R, and Computations using Vectors and Matrices2.3.3 Computations in Vectors and Simple Graphics2.3.4 Use of Factors in R Programming2.3.5 Simple Graphics2.3.6 x as Vectors and Matrices in Statistics2.3.7 Some Special Functions that Create Vectors2.3.8 Arrays and Matrices2.3.9 Use of the Dimension Function dim in R2.3.10 Use of the Matrix Function matrix in R2.3.11 Some Useful Functions Operating on Matrices in R2.3.12 NA `Not Available? for Missing Values in Datasets2.3.13 Special Functions That Create Vectors2.4 Using R in Data Analysis in Human Genetic Epidemiology2.4.1 Entering Data at the R Command Prompt2.4.1.1 Creating a data-frame for R computation using the EXCEL spreadsheet (on a Windows platform)2.4.1.2 Obtaining a Data Frame from a Text File2.4.1.3 Data Entry and Analysis Using the Function data.entry()2.4.1.4 Data Entry Using Several Available R Functions2.4.1.5 Data Entry and Analysis Using the Function2.4.1.6 Data Entry and Analysis Using the Function source()2.4.1.7 Data Entry and Analysis Using the Spreadsheet Interface in R2.4.1.8 Human Genetic epidemiology Using R: The CRAN Package GASTON in Genetics2.4.2 The Function list() and the Making of data.frame() in R2.5 Univariate, Bivariate, and Multivariate Data Analysis2.5.1 Univariate Data Analysis2.5.2 Bivariate and Multivariate Data Analysis2.6 Some Final Remarks on Statistics and Biostatistics, UsingAppendix 1 Documentation for the plot functionSpecial References for Chapter 2ReferencesIndex