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  • The Perfect Method, Part 2: Where to Start?


    Getting started on the right foot is important for efficient method development.

    The Perfect Method, Part 1: What Is Your Goal?



    Different methods require different strategies.

    Variability — How to Control It



    The various surface characteristics have different capacities and equilibration rates, which can affect the appearance of the chromatograms.

    Solvent Conservation



    How can you reduce mobile phase expenses?

    Practical Guidelines in the Care and Maintenance of Capillary GC Columns


    Modern gas chromatography (GC) capillary columns are rugged and forgiving but some care should be taken when handling and using these high-efficiency columns. In this instalment of "Column Watch", the authors discuss the issues surrounding avoiding column breakage, stationary phase damage and column contamination. Prolonging the life of a column by keeping an oxygen-free system, providing a cleaner sample and not exceeding the upper temperature limit of the stationary phase are highlighted in this practical discussion.

    Method Reproducibility — A Case Study



    Mass overload is related to the mass of sample that can be injected before the stationary phase is sufficiently loaded to cause changes in the chromatography.

    Questions from India



    As I write this instalment of "LC Troubleshooting", I have just completed teaching a series of liquid chromatography (LC) method development classes to pharmaceutical scientists in India. As a parting gift, my host gave me a copy of Thomas Friedman's The World is Flat?.1 One central theme of this book is that the technology and skills for the science and information technology sectors are available around the world and are no longer the exclusive domain of the US and Western Europe.

    Experimental Design Approaches in Method Optimization



    An experimental design can be considered as a series of experiments that, in general, are defined a priori and allow the influence of a predefined number of factors in a predefined number of experiments to be evaluated.

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