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The Application Notebook

Branching affects macroscopic polymer properties such as crystallinity, melting temperature, toughness, ductility, and optical clarity. Two types of branching are long-chain branching (LCB) and short-chain branching (SCB), wherein the molar mass of the branches is larger or smaller than the entanglement molar mass, respectively.

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The Column

Pittcon celebrates its 70th year with thousands of chromatographers from around the globe and a range of industries taking over the Pennsylvania Convention Center in Philadelphia, Pennsylvania, USA, from 17–21 March 2019 for a week of education, research, instrumentation, and networking.

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LCGC Asia Pacific

The challenges we face in troubleshooting problems with liquid chromatography (LC) separations are highly diverse. This month we take a closer look at topics that have garnered more attention recently.

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LCGC Asia Pacific

This article discusses the use of emerging technologies that are complementary to established techniques, to significantly reduce these shortcomings for both synthetic cannabinoids and synthetic cathinones. In this vein, the utility of recently reported approaches including ultrahigh performance supercritical fluid chromatography (UHPSFC)–photodiode array (PDA) ultraviolet (UV)–MS, and GC–vacuum UV is discussed. To increase the specificity of analysis, multiple chromatographic techniques are commonly used. For the analysis of emerging drugs, a combination of GC and UHPSFC is recommended. The utility of a previously unreported coupled-columns approach for UHPSFC to significantly enhance resolution of synthetic cathinones is presented.

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LCGC Asia Pacific

Biotherapeutics have become the hottest topic in pharmaceutical research over the past decade. With the increased interest in biotherapeutics, there has been a concomitant increase in new analytical methods for characterizing these large, complex molecules. This installment of “Column Watch” discusses advances in “bottom-up” analysis of monoclonal antibodies, while highlighting the role and importance column chemistry still plays in developing highly selective high-performance liquid chromatography (HPLC) methods for peptides.

Special Issues

Data-independent acquisition (DIA) makes it possible to re-interrogate data from earlier analyses to determine if new compounds have appeared in a sample previously analyzed. In this interview, Craig Wheelock of the Karolinska Institute discusses the use of DIA in metabolomics.

Do you have questions about how to ensure data integrity? Then tune into this podcast series from LCGC. In this episode, hear from data integrity and quality systems expert Mark Newton about the shifting focus in data integrity, common problems and questions, and what you need to think about as you address data integrity in your company, or as you update software.

Do you have questions about how to ensure data integrity? Then tune into this podcast series from LCGC. In this episode, hear from data integrity and quality systems expert Mark Newton about dealing with data integrity issues arise in connection with sampling, sample preparation, aborted chromatographic runs, chromatographic integration, hybrid models, and more.

Do you have questions about how to ensure data integrity? Then tune into this podcast series from LCGC. In this episode, hear from data integrity and quality systems expert Mark Newton about the role of second-person review, the four Cs, training, oversight, and preparing for the future. 

Just as medical practitioners are able to discern worrying features from a variety of medical physics devices (electrocardiogram, electroencephalogram, ultrasound, for example), we need to develop the skill to identify worrying symptoms from our HPLC instrument output.

If you have a method or process that involves a number of different variables, multivariate optimization approaches can provide a faster route to optimum conditions and can lead to a more reliable outcome than using a one-factor-at-a-time approach. With a little study and practice, students and researchers can apply these optimization techniques, even if a complete understanding of the underlying statistical treatments is not immediately apparent.