Multidimensional HPLC of Polymers
июнь 2013 г. · Springer Science & Business Media
Электронная книга
280
Количество страниц
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Об электронной книге
This book presents the principle ideas of combining different analytical techniques in multi-dimensional analysis schemes. It reviews the basic principles and instrumentation of multi-dimensional chromatography and the hyphenation of liquid chromatography with selective spectroscopic detectors and presents experimental protocols for the analysis of complex polymers.
It is the consequent continuation of "HPLC of Polymers" from 1999 by the same authors. Like its 'predecessor', this book discusses the theoretical background, equipment, experimental procedures and applications for each separation technique, but in contrast treats multi-dimensional and coupled techniques. "Multidimensional HPLC of Polymers" intends to review the state of the art in polymer chromatography and to summarize the developments in the field during the last 15 years. With its tutorial and laboratory manual style it is written for beginners as well as for experienced chromatographers, and will enable its readers (polymer chemists, physicists and material scientists, as well as students of polymer and analytical sciences) to optimize the experimental conditions for their specific separation problems.
It is the consequent continuation of "HPLC of Polymers" from 1999 by the same authors. Like its 'predecessor', this book discusses the theoretical background, equipment, experimental procedures and applications for each separation technique, but in contrast treats multi-dimensional and coupled techniques. "Multidimensional HPLC of Polymers" intends to review the state of the art in polymer chromatography and to summarize the developments in the field during the last 15 years. With its tutorial and laboratory manual style it is written for beginners as well as for experienced chromatographers, and will enable its readers (polymer chemists, physicists and material scientists, as well as students of polymer and analytical sciences) to optimize the experimental conditions for their specific separation problems.
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