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Written by someone who has experienced both teaching and working as a research chemist, this textbook will provide the theoretical chemistry associated with volumetric analysis supported by a selection of practicals for undergraduate students taking modules in introductory and analytical chemistry as well as for non-specialists teaching chemistry.
The majority of modern instruments are computerised and provide incredible amounts of data. Methods that take advantage of the flood of data are now available; importantly they do not emulate 'graph paper analyses' on the computer. Modern computational methods are able to give us insights into data, but analysis or data fitting in chemistry requires the quantitative understanding of chemical processes. The results of this analysis allows the modelling and prediction of processes under new conditions, therefore saving on extensive experimentation. Practical Data Analysis in Chemistry exemplifies every aspect of theory applicable to data analysis using a short program in a Matlab or Excel spreadsheet, enabling the reader to study the programs, play with them and observe what happens. Suitable data are generated for each example in short routines, this ensuring a clear understanding of the data structure. Chapter 2 includes a brief introduction to matrix algebra and its implementation in Matlab and Excel while Chapter 3 covers the theory required for the modelling of chemical processes. This is followed by an introduction to linear and non-linear least-squares fitting, each demonstrated with typical applications. Finally Chapter 5 comprises a collection of several methods for model-free data analyses.* Includes a solid introduction to the simulation of equilibrium processes and the simulation of complex kinetic processes.* Provides examples of routines that are easily adapted to the processes investigated by the reader* 'Model-based' analysis (linear and non-linear regression) and 'model-free' analysis are covered
Textbook of Practical Pharmaceutical Analytical Chemistry A pharmaceutical analyst needs to have a clear understanding of the methods used to test a particular sample. This book is a sincere attempt in educating students about the concepts of the various analytical testing methods. The book has been written to cater to the needs of the B. Pharm. students in accordance with the AICTE syllabus. It can also serve as a supplementary text for the Pharm. D., D. Pharm. and the B. Sc. (Analytical Chemistry) students. Salient Features Easy narrative language encasing a student-friendly approach Basic theoretical concepts of analytical chemistry for essential understanding of the subject Experimental methods and design presented in detailed easy-to-follow formats Derivation of equivalent factor of all the drug assays mentioned in the book Coverage of all the parameters like IP limit, theory related to practical, procedure, preparation and standardization of solutions, assay procedure, complete calculations, pharmaceutical use, etc. Comprehensive presentation of testing methods and observations in a tabular form for enhanced visualization and learning Observation tables, calculations and precautions included for quick reference A must buy for all pharma students!
Time frequency analysis has been the object of intense research activity in the last decade. This book gives a self-contained account of methods recently introduced to analyze mathematical functions and signals simultaneously in terms of time and frequency variables. The book gives a detailed presentation of the applications of these transforms to signal processing, emphasizing the continuous transforms and their applications to signal analysis problems, including estimation, denoising, detection, and synthesis. To help the reader perform these analyses, Practical Time-Frequency Analysis provides a set of useful tools in the form of a library of S functions, downloadable from the authors' Web sites in the United States and France. - Detailed presentation of the Wavelet and Gabor transforms - Applications to deterministic and random signal theory - Spectral analysis of nonstationary signals and processes - Numerous practical examples ranging from speech analysis to underwater acoustics, earthquake engineering, internet traffic, radar signal denoising, medical data interpretation, etc - Accompanying software and data sets, freely downloadable from the book's Web page
This book contains 12 chapters focusing on: (i) experimental planning; (ii) sample preparation; (iii) weighing and dispersing; (iv) acid-digestion, ashing and extracting procedures; (v) analysis of soil and compost; (vi) analysis of fertilizers; (vii) analysis of animal feed and plant materials; (viii) analysis of silage; (ix) near infrared spectroscopy; (x) methods in equine nutrition; (xi) methods for organic farmers and growers; and (xii) quality assurance and control.