On Demand Webinar presenting

On Demand Webinar presenting “A Unique Workflow for Linearity Testing using Automated Sample Preparation and UHPLC”
METTLER TOLEDO today announced the availability of the on demand version of a highly succesful webinar in collaboration with Dionex Corporation which describes a unique automated approach to linearity testing. The webinar will be of interest to anyone who has to manually prepare samples and standards, anyone who works in pharmaceutical method development and QA/QC, and anyone who wants to learn how UHPLC can improve productivity in their lab. The webinar is hosted by Pharmaceutical Technology. Co-presenters are Dr Joanne Ratcliff, Marketing Project Manager from Mettler Toledo and Fraser McLeod, Senior Director of Product Marketing from Dionex Corporation. The on-demand webinar can be accessed at the following link: http://www.pharmtech.com/unique

The key learning objectives of this webinar are how automated sample preparation can save time and reduce error, how UHPLC can reduce sample analysis time by a factor of 5 or more and how a chromatography data system can fully automate calculation of the results.

The International Conference on Harmonisation of Technical Requirements for Registration of Pharmaceuticals for Human Use (ICH) recommends ways to achieve greater harmonisation in the interpretation and application of technical guidelines during the research and development of new medicines. When validating a method according to the ICH guidelines, it is necessary to perform a linearity experiment. This requires the preparation of multiple calibration levels, analysis of the samples by liquid chromatography, and calculation/reporting of the results. Each of these steps can be very time consuming, and in many cases error prone. This is especially true if the analytical method being tested requires the measurement of multiple components.

In this webinar, Mettler Toledo and Dionex present a new way to tackle these challenges. The webinar demonstrates an automated approach to sample preparation, the use of UHPLC to speed-up the analysis, and the use of advanced software tools for calculation and reporting of the results. When used in combination, these tools substantially shorten the linearity workflow, and significantly reduce error rate.

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