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On Demand Webinar presenting "A Unique Workflow for Linearity Testing"
On Demand Webinar presenting "A Unique Workflow for Linearity Testing"
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.
Griefensee,
N/A,
United Kingdom
(prbd.net)
20/06/2011
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.
About
METTLER TOLEDO specializes in the area of precision instruments for professional use. METTLER TOLEDO laboratory instruments are used in research, scientific, drug discovery, and quality control labs, amongst many others in the pharmaceutical, chemical, food and cosmetics industries.
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