PITTCON® 2007
Chicago, IL, USA
February 26–March 1, 2007
Booth #: 1055 - See map for location of booth
View ACD/Labs Talk Schedule
ACD/Labs' Poster Schedule |
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| MONDAY, FEBRUARY 26, 2007 |
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| Title: | The Implementation and Integration of Databasing for Increased Efficiency of Chiral Chromatographic Method Screening and Development |
| Authors: | Xiaoyi Gong (Merck and Co., Inc.), Adam Beard, Mirlinda Biba, Li Pan, Chirs Welch and Mike McBrien (ACD/Labs) |
| Session Title: | Data Analysis/Manipulation |
| Time: | Morning Session |
| Location: | Hall A1-A2 |
| Abstract #: | 470-6P |
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| Title: | Challenges and Considerations for Building an Automated Method Development System |
| Authors: | Margaret Antler (ACD/Labs), Mike McBrien, Andrey Vazhentsev, Vadim Tashlitsky, Eduard Kolovanov, Hartmut Doenges (Agilent Technologies) |
| Session Title: | Chromatographic Methods of Analysis |
| Time: | Afternoon Session |
| Location: | Hall A1-A2 |
| Abstract #: | 780-19P |
| Abstract: | Automated chromatographic method development systems have existed for a number of years. Difficulties in tracking peaks between experiments can limit these systems, especially for samples such as impurities and degradants which may have many trace components to resolve. Automated method development systems typically lack versatility, meaning that established method development routines must be adjusted in order to fit the capabilities of the automated system. Finally, for complex problems, method development may involve many experiments with many samples (including composite samples), and a large amount of data can be generated. It can take a significant amount of human time and effort to track, review, and manage this data.
This presentation will describe a new system for automated method development which addresses some of the weaknesses of earlier configurations. The tool uses both UV-Vis and MS detection to unequivocally track and resolve trace components, performing a chemometric evaluation of these detection techniques. The system also includes data handling and storage systems designed to quickly summarize the information, and reduce the time required for data review and report creation. A wide array of instrument configurations and method development approaches are supported, making the system flexible for many types of laboratories. |
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| THURSDAY, MARCH 1, 2007 |
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| Title: | HPLC Stationary Phase Classification and Method Development Employing Mass Spectrometry and Modern Software Tools |
| Authors: | David A. Bell (Supelco/Sigma-Aldrich), Jacinth A. McKenzie, Hugh M. Cramer, and Mike McBrien (ACD/Labs) |
| Session Title: | High-Throughput Chemical Analysis |
| Time: | Morning Session |
| Location: | Hall A1-A2 |
| Abstract #: | 2340-9P |
| Abstract: | Published column classifications protocols provide some insight into the interactions high-performance liquid chromatography (HPLC) stationary phase chemistries may impart. The analyst may utilize these insights to determine appropriate stationary phases for a given analytical challenge. Current classifications studies, however, are limited. Only a few analyte classes are included and the chromatographic conditions used represent a small portion of those possible in HPLC analyses. A comprehensive column classification approach that covers greater analyte structural diversity and includes more of the important HPLC variables is desired. With this comes the need for improvements in data management and manipulation as well as a highly structured, yet comprehensive set of experimental procedures.
The selectivity of mass spectrometric detection and use of modern analysis, management and predictive software solutions were chosen to meet the needs of this analytical challenge. Several diverse gradient methods were developed to cover organic modifier type and mobile phase pH. A large number of diverse analytes were chosen based on varied solubility coefficients and ionization constants. Retention data was acquired and evaluated on several stationary phase chemistries.
The experimental procedure outlined in this presentation shows great promise toward achieving the goals of a facile comprehensive column classification protocol. Based on comparative plots of retention, alterations in stationary phase chemistry as well as pH exhibit the greatest influence on analyte selectivity. Progress toward developing a methodology for which all reversed-phase columns can be compared in terms of performance for a large portion of analytes under several orthogonal chromatographic conditions is presented.
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