Tony Taylor | Authors

Tony Taylor is Group Technical Director of Crawford Scientific Group and CHROMacademy. His background is in pharmaceutical R&D and polymer chemistry, but he has spent the past 20 years in training and consulting, working with Crawford Scientific Group clients to ensure they attain the very best analytical science possible. He has trained and consulted with thousands of analytical chemists globally and is passionate about professional development in separation science, developing CHROMacademy as a means to provide high-quality online education to analytical chemists. His current research interests include HPLC column selectivity codification, advanced automated sample preparation, and LC–MS and GC–MS for materials characterization, especially in the field of extractables and leachables analysis.


Back to School—Solving Practical HPLC Problems with Basic Theory

I’m very much a “big picture” type of thinker. By that, I mean unless I can understand all of the working parts of a problem and understand how they interact, I find it difficult to decide the best approach to figuring out how to solve the issue.

The LCGC Blog: The Practicalities of Dead Volume Optimisation in UHPLC

In this installment of the LCGC Blog, Tony Taylor discusses the instrument factors that need to be considered when optimising your UHPLC system to match the column hardware and analytical requirements for your applications, and why this is important in the pursuit of efficiency, speed, and increased resolution.

The LCGC Blog: Electronic Flow and Pressure Control in Gas Chromatography: Opening the Lid of the Black Box!

Electronic pneumatic controllers (EPC) were introduced into gas chromatography (GC) systems from the mid-1990s onwards and do an excellent job of regulating gas flow and pressure for GC inlets, columns, and detectors. Regular readers will know that, while I support innovation and improvements in engineering capability, I am inherently sceptical of anything with the “black box” tag and believe that unless we inherently understand how something works, we can neither fully harness the potential benefits, nor properly troubleshoot when something goes wrong. Therefore, read on as we open the lid and take a good look inside these particular black boxes.