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."
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