By
A. Felinger, Department of Analytical Chemistry, University of Veszprém, Egyetem utca 10, H-8200 Veszprém, Hungary
Description
This book gives an overview of the numerical data analysis and signal treatment techniques that are used in chromatography and related
separation techniques. Emphasis is given to the description of the symmetrical and asymmetrical chromatographic peak shape models. Both
theoretical and empirical models are discussed.
The fundamentals of data acquisition, types and effect of baseline noise, and methods
of improving the signal-to-noise ratio (either in time or in frequency and wavelet domain) are thoroughly discussed. Resolution enhancement
techniques, such as curve fitting, deconvolution by Fourier and wavelet transforms, iterative deconvolution, Kalman filtering and multivariate
methods of curve resolution are all discussed with several chromatographic examples. Quantitative analysis by peak area of peak height
measurement, the precision and accuracy of the quantitation of stand-alone or overlapping and symmetrical or asymmetrical peaks are treated.
In a separate chapter, guidelines are given for the use of transform techniques for the analysis of chromatograms.
A statistical description
of peak overlap is given in the final chapters. Since the concept of resolution has to be reconsidered when one separates complex mixtures,
the problem of resolution and overlap is quantitatively discussed by means of statistical methods, and by using Fourier analysis of the
complex chromatogram.
Features of this book
• The ultimate source of numerical techniques to enhance chromatographic
data
• Gives a detailed description of signal and resolution enhancement techniques in a manner applicable for enhancing not only
chromatography, but also spectroscopic and other analytical signals
• The first book with a thorough overview of the statistics
of peak overlap.
This is the first volume to encompass both the simple and more sophisticated methods for the numerical treatment of
chromatograms. It is, therefore, the fundamental resource of numerical analysis methods for every analyst.
Included in series
Data Handling in Science and Technology
