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  • Title: Automated approach for the rapid identification of purification conditions using a unified, walk-up high performance liquid chromatography/supercritical fluid chromatography/mass spectrometry screening system.
    Author: Aurigemma CM, Farrell WP, Simpkins J, Bayliss M, Alimuddin M, Wang W.
    Journal: J Chromatogr A; 2012 Mar 16; 1229():260-7. PubMed ID: 22321950.
    Abstract:
    Integration of supercritical fluid/mass spectrometry (SFC/MS) and reversed phase liquid (HPLC/MS) chromatographic screening techniques into a single chromatographic system and utilized in "walk up" mode, enabled us to produce an orthogonal data set for selecting purification conditions for medicinal chemistry compounds. To streamline the overall workflow, we also demonstrate the use of automated batch data processing of individual data files to identify suitable separation conditions without user intervention. We have addressed the chromatographic challenges that hinder the identification of the intended target and thus the selection of ideal purification conditions. For instance, multiple component-of-interest (COI) peaks, co-elution of impurities with the COI, and chromatographic suitability factors such as retention times and peak shapes are all important considerations when selecting appropriate methods for purification and, therefore, are bottlenecks to an automated approach. Since SFC and HPLC data were collected in parallel from separate instruments in our workflow, the time required for the separation scientist to analyze acquired data from both systems was a time-limiting factor. To reduce data processing time and accelerate or "FastTrack" samples to purification, two unique and automated solutions were introduced. We describe the implementation of an integrated, multi-column, walk-up HPLC/SFC/MS system, and the implementation of an intelligent, automated method selection application which uses advanced data evaluation criteria to selectively score and identify the most practical separation conditions for SFC/MS and HPLC/MS methodologies.
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