October 17 - 19, 2006, 7th Annual European Users' Meeting, Obernai, France

A Comprehensive Approach to Automating LC Method Development

Michael Swartz

Abstract

Liquid chromatographic method development is a complex, time-consuming process that can take weeks or months to accomplish. Increased numbers and different types of methods, as well as sample complexity, all add to the challenge. While many analysts still employ "trial and error" approaches, in order to improve throughput and efficiency, some sort of standardized approach or automation is commonly used. Column scouting is one such standardized approach that is often used as a screening tool to identify a good starting point for further optimization prior to any actual formal development. In this approach, different columns chemistries, mobile phases, types of buffers, and buffer pH are often evaluated to determine the best conditions for further optimization or development. In addition, predictive, modeling, or chemometric type software is often used both off-line and in automated systems. Software of this type can be used in combination with column scouting to decrease the number of runs, improving throughput and efficiency, while often at the same time improving the robustness of the method. However, in most cases, the systems are not truly automated, have limited applicability to high sensitivity applications, and cannot track or identify peaks as selectivity is manipulated during method development.

This presentation will describe a new approach to completely automate the liquid chromatographic method development process that includes both column scouting and final method optimization, as well as the ability, through the use of software, to track peaks during method development using multiple detection techniques. Examples will be provided showing the utility of the approach for complex pharmaceutical samples where methods were developed using this total intelligent automation approach, allowing the system to make decisions regarding optimum column and method conditions.

Download the presentation in Adobe Acrobat format (3.48 Mb PDF file).