2011
Automated selection of optimal purification conditions from LC/MS and SFC/MS screening methods
ASMS 2011, Salt Lake City, UT, USA, 23-27 June 2011, Christine Aurigemma1; William Farrell1; Joseph Simpkins2; Mark Bayliss2
1-Pfizer Global R&D - La Jolla Laboratories, San Diego, CA, 92121, USA
2-Virscidian, Inc, Raleigh, NC, 27607, USA
Screening methods are a high throughput common approach for accelerating method development for chromatographic separations. Using this approach, several method conditions can be screened in serial or parallel to reduce or eliminate timely method development. However, as the numbers of method conditions are increased, inevitably the amount of time to review and select the optimal condition increases. An automated flexible and dynamic method selection package was implemented to analyze and review both SFC and HPLC screening conditions.
MethodsSupercritical Fluid (SFC) and High pressure liquid (HPLC) chromatographic systems were interfaced to single quadrupole mass spectrometric detection. The SFC and HPLC systems consisted of Agilent 1100 LC-MSD’s which include quaternary or binary pumping components, autosampler, Diode Array Detector (DAD) detectors and G1946D MSD Systems. The SFC system also included an Aurora Fusion A5 unit to condition carbon dioxide for use in these experiments. The automated software utilized Analytical Studio Express and Analytical Studio software from Virscidian with customized data interpretation and results visualizations.
Preliminary dataThe software was validated against a statistically relevant batch of real world discovery phase pharmaceutical chemistries utilizing 6 SFC and 4 HPLC screening methods. In our initial evaluations of the screening results, the system implementation was able to guide the user to select the best method better than 80% of the time for both SFC and HPLC, though we are still currently optimizing selection criteria and do expect improvements. A target of better than 95% in both cases is the ideal goal for the project once it goes into routine operation. The subsequent methods were purified and the success rate of the purification was found to meet or exceed our corporate needs for purified compound for downstream operations. Additionally, the increase in throughput for lab personnel resulted in an overall drop in turnaround time by 15 – 20% though this is still being optimized. Figure1 shows the visualization of an example analysis and results visualization from the approach. This approach was taken to enable our laboratory to use the best in class instrument, automation and software elements in order to deliver the optimize solution. During the presentation we will provide an overview of the system, its implementation, available performance figures, the challenges which were faced and some of the approaches that have been used to solve these issues.
Novel aspectSelective scoring and visualization of the practical separation method conditions for SFC-MS and HPLC-MS methodologies using advanced data evaluation criteria.
Download24 hours to pure sample from sample receipt
ASMS 2011, Salt Lake City, UT, USA, 23-27 June 2011, Mark Bayliss(1), Joseph Simpkins(1), Stephane Murphy(1), Martin Fuhr(2), Utz-Peter Jagusch(2), Josephine Archinal(2), Stefan Oberbörsch(2)
1-Virscidian, Inc, Raleigh, NC, 27607, USA
2-Grunenthal GmbH, Zieglestr. 6, 52078 Aachen, Germany
Support of Medicinal Chemistry, Compound Collection and our Synthetic Chemists requires our laboratories to deliver purified, confirmed chemistries for downstream activities. Historically sample turnaround times were both variable and often longer than all departments were happy with. Using both internal and external expertize, the entire end-to-end workflow has been revisited, refined and automated with screening results and purified materials now being turned around in 24 hours. This presentation focuses on the challenges there were faced and how these were practically solved and the automation environment that was required to deliver to the project needs.
MethodsSynthesis samples from both manual and automated synthesis environments are screened using a combination of low resolution Agilent Single Quadrupole and Agilent 1290 Tof instruments. Purification is accomplished using a mixture of both Waters and Agilent MS directed auto-purification systems. Purified substances are then analyzed for target validation, sample purity and sample homogeneity using a number of Waters uPLC/MS Single Quadrupole instruments. Data are all analyzed using an automated client-server software environment from Virscidian Inc.
Preliminary dataThe system has now been in operation since summer 2010 and been used in over 50,000 sample analyses. At each stage the results are assessed in the same software application environment against specific evaluation criteria that are appropriate to the stage of the sample. A number of common evaluation criteria across all stages include accuracy of data processing across all detectors but most importantly for the detector(s) used to confirm Area% of the target. Additionally accuracy of target determination and accuracy of the automated results interpretation are also critical. Our preliminary data suggests that once an optimal data processing method is generated for an instrument, that no additional reprocessing of results is required. Indeed where automated results interpretation failure exists, the sample quality is typically not appropriate for further assessment. Indeed the level of results review has dramatically reduced from 100% review of all samples across all phases, to just the samples that are flagged for review and a general low percentage review of the remaining results for quality control purposes. During the presentation, we discuss the challenges that were faced in implementing such a system, an overview of the system that is currently in production usage and expectations for future enhancements to allow for additional automation improvements.
Novel aspectCross platform integration and automation for a seamless high accuracy system of purified compound production in 24 hours.
DownloadAchieving 24 hour turnaround from sample submission and initial QC to final purified and confirmed drug discovery lead compounds.
Pittcon 2011, Atlanta, GE March 13-18 2011, Mark Bayliss(1), Joseph Simpkins(1), Stephane Murphy(1), Martin Fuhr(2), Utz-Peter Jagusch(2), Josephine Archinal(2), Stefan Oberbörsch(2)
1-Virscidian, Inc, Raleigh, NC, 27607, USA
2-Grunenthal GmbH, Zieglestr. 6, 52078 Aachen, Germany
Part of our drug discovery philosophy is to commence our lead evaluation with purified lead compounds that have been confirmed for presence and minimum acceptable purity prior to biological activity screening. The goal of a recent quality and performance improvement program was to reduce the time taken to analyze our lead compounds for target presence and purity, purify where necessary and then confirm the dried fraction(s) for target presence and final purity. On starting this improvement project our turnaround times were variable and typically required in excess of 3 – 4 days depending on the laboratory workload. Our goal was to be able to complete the entire turn-around time in 24 hours. Such a target required us to reevaluate our workflow in detail, increase levels of automation, increase quality of the automatically produced analytical results, decrease the time required for results review and reporting in each stage of the process. This presentation aims to describe how we collaborated with an external software company with extensive domain experience and our internal teams to achieve our primary objectives. We discuss the areas that required particular attention and how we have stepwise improved the hardware and software infra-structure with commercially available products, fine-tuned our workflow, optimized the integration of hardware, samples, sample information, and our existing company infra-structure in a cost effective manner.
DownloadExperiences and details of a high throughput, multi-user, multiple instrument hardware vendor screening solution for library QC and target purification.
Laboratory Automation 2011, Palm Springs, CA January 29- February 2 2011, Mark Bayliss(1), Joseph Simpkins(1), Stephane Murphy(1), Martin Fuhr(2), Utz-Peter Jagusch(2), Josephine Archinal(2), Stefan Oberbörsch(2)
1-Virscidian, Inc, Raleigh, NC, 27607, USA
2-Grunenthal GmbH, Zieglestr. 6, 52078 Aachen, Germany
Screening high volumes of analytical results for quality and consistency of results when it comes to library compound management QC, small to medium automated synthesis support and purification of targets is tedious and costly in terms of required experienced manpower. Our laboratories for analyzing incoming samples are comprised of a heterogeneous array of instrument types and instrument vendors. Our goals at the start of the project were multi-fold. Improve quality of results, reduce the number of false positive results, reduce the number of samples requiring manual reprocessing, and decrease the throughput time from initial QC, purification and post purification QC. Automate the processing of raw data and to create a single consistent output of results that are integrated with our existing inter/intra departmental workflows and corporate infra-structure. In this presentation we would like to share our practical experiences in achieving our primary goals, some of the challenges that we faced prior to implementing the automated approach and how the new workflow has impacted the departmental workflow in a positive way. Already we have seen the cycle time from initial QC of samples to final QC of purified fractions reduced from a variable number of days to around 24 hours.
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Archive
Towards automated evaluation of result accuracy for LC/MS/UV/ELSD/CLND substance screening – supporting Library Management and Medicinal Chemistry
ASMS 2010, Salt Lake City, UT, USA, 23rd - 27th May 2010, Mark Bayliss, Joseph Simpkins
The analysis of data supporting corporate compound library management, synthesis and medicinal chemistry support relies on LC/MS/UV/ELSD/CLND/CAD) as its primary means of substance confirmation. Confirmation being defined here as the presence of the substance, its purity (%Area of some chosen detector stream typically UV) and in some cases an empirical concentration calculation using CLND, ELSD or CAD. Our perception after performing millions of sample analyses is that we had to manually review more results and make more modifications than we felt was time efficient. Our greatest challenges were baseline determination inaccuracies, poor signal differentiation in the MS for weakly ionizing compounds, and poor assessment of adducts. Our challenge was to find a way to quantify these aspects and evaluate solutions. Starting with baseline accuracy, we investigated how a number of different baseline algorithms affected the performance of the final result by implementing the ability to capture that peak results immediately after processing and then after chemist review. Performing a difference analysis and then evaluating these results allowed us to investigate how accurately the different algorithms performed in routine usage and how adaptable they were to the typical problems commonly present in the different detector streams. The focus for our presentation will be on the accuracy of baselining in the determination of Area% which is used heavily as a determinant of implied substance purity. Holistically we can use the concept that the accuracy of processing can be normalized to: “The calculated difference between a processed result and the final result following review by a trained scientist” This approach has practical value as it can allow us to scientifically determine if the method that was used to process the data produces results that are statistically within the normal operating range that we would expect, based on similar model studies. In our preliminary studies we have found that baseline algorithms are certainly not all the same in their performance and that careful choice of baseline is extremely important if quality of %Area calculation is a key criterion in your analysis. Our presentation focuses on the comparative analysis of a number of different baseline algorithms and their accuracy in application to LC/MS/UV/ELSD/CLND (Or CAD) data that is typically used by scientists support compound validation.
DownloadA quantitative assessment of large scale data processing for LC/UV and MS based compound QC
Pittcon 2010, Orlando, FL, USA, 23rd - 27th Januray 2010, Mark Bayliss, Joseph Simpkins
In our experience, we have found a significant number of situations that force us to have to QC a much greater percentage of our LC/MS UV, ELSD compound QC results than we feel should be really necessary. This oftentimes means a 100% QC. Some of the reasons are summarized as: Target(s) Found (Green) but the purity or concentration of the sample being too low to be of practical usage. Targets found but eluting in a region of significant level impurities and therefore more challenging for auto-purification. Targets eluting within the solvent front or end of the chromatographic run typically with poor integration. Targets being poorly classified as found, maybe or not found due to challenges in the signal processing, baselining, peak integration, MS peak classification, poor assignment of adducts and so on. The major issue of course, was that we were not really sure to what level these issues were prevalent or were causing us to over QC results. To better understand these effects we have undertaken a relatively large scale review of our results to determine where most of the problem situation occurs and to remedy as many as possible. We were also looking to increase the trust we have our processing and to be able to trap those situations where an analyst needs to make an informed decision and communicate this effectively. This presentation summarizes some of our finding and how we have attempted to solve these issues.
DownloadElimination of the LC/MS Data Analysis Workflow Bottlenecks in substance QC
Laboratory Automation (ALA 2010), Palm Springs, CA, USA, 1st - 4th March 2010, Mark Bayliss, Joseph Simpkins
Previously, within our research and services as a Clinical Research Organization we were constantly challenged with how to accurately and reliably determine the presence or absence of target substances within minimal analyst intervention. Most of these types of studies were in support of our customers performing corporate library management, support for synthetic chemists and process chemistry. While the principle and acquisition of the typical array of LC/MS, UV, ELSD and/or CLND data is relatively simple, our experience shows that reliable analysis across vendors, instruments, analytical methods and sample types creates a more intractable challenge. In the process of analyzing running millions of samples, we found a number of areas that were cause for deeper evaluation as follows: Baseline accuracy – affecting directly the integration accuracy which in turn affects area under the curve calculations (AUC) used for both purity and concentration calculations. Spectral analysis and characterization issues which often led to incorrectly assigned adducts and ionized molecules. Issues with accurate analysis and differentiation of real peaks and noise. Quantitation calculation flexibility to deal with single and multiple zone mobile phase correction and calibration. Ability to quickly find those samples which had deeper hidden issues that would actually affect the final results. For example just because a well in a microtitre plate was colored green, often did not signify that the sample was free of issues. This could be for multiple reasons including: inconclusive peak analysis for potential isomeric compounds eluting as multiple peaks. Low level extracted mass chromatograms with low signal and/or low signal to noise. Challenging elution profiles of the target substance say within a narrow time window of the major impurities where a more select purification methodology was needed. Our research and this presentation details how we approached many of these issues and brought them together into a practical application for our and other analysts. Our expectation of this poster presentation is to gather additional insights through discussion, into the issues that have been faced by other researchers in this area, how they have been solved and what additional areas of challenge remain.
DownloadEnabling High throughput MRM based Biomarker Validation Studies through a Vendor neutral application
Joseph Simpkins
A modern current trend in biomarker validation is to profile well known systems using specific higher sensitivity assays based on quantitative mass spectrometry MRM experiments. Chemical biomarkers evaluated using these tools range from multiple peptide targets in plasma to panels of small molecules (e.g. biogenic amines) in cerebral spinal fluid. In all cases the potential biomarkers were quantified based on reference standards with a goal to better understand the response of the patient to therapeutic treatments. The software tools developed and applied to this study improved the success and throughput of these targeted assay studies.
DownloadElimination of the LC/MS Data Analysis Worklfow Bottleneck using Analytical Studio
Joseph Simpkins
Modern mass spectrometry labs usually contain instruments from multiple vendors generating data for hundreds to thousands of samples per day. The challenge facing most labs today is not data generation. Rather, it is data interpretation.How do labs keep from being buried under all of the data they can generate? We have implemented a software suite (Analytical Studio) to automate the workflow process of interpreting the qualitative and quantitative LC/MS analysis of small molecules. Specific attention was paid to workflow management, data review, exception handling, multi-vendor support and interfacing with legacy systems.
DownloadAn Interview with Kenneth Lewis Opans and Joseph Simpkins Virscidian
Joseph Simpkins, Kenneth Lewis
An interview with Kenneth and Joseph on running a CRO, the challenges and how Opans differentiates itself from other similar companies. Factors affecting the collection, storage and analysis of QC data...
Joseph Simpkins states:
"We have all of the raw data, all of the processed data, all of the results, all of the meta data, and we can serve it up in almost any conceivable way. But virtually all of our customers are limited to receiving PDF and Excel files. It is sad because our customers lose the ability to dig into the data to answer their questions, and this would not be difficult for them to do if they could simply access the data that we can provide."
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