New SCIEX Software Accelerates Drug Screening across Broad Range of Compounds for Clinical Research Laboratories
The MPX™ TF 1.0 Software is now available to accelerate drug screening with accurate mass-based technology for laboratories performing clinical research
July 29, 2013
SCIEX, a global leader in analytical technologies, today announced the availability of MPXTM TF 1.0 Software to accelerate drug screening with accurate mass-based technology for laboratories performing clinical research. The new software is designed to deliver faster turnaround times, increased sample throughput and lower costs compared to single-stream, mass spectrometry (MS) methods. This new software will be showcased to researchers at the American Association for Clinical Chemistry (AACC) conference in Houston, Texas.
With the new MPX TF Software, researchers are now able to increase throughput by as much as twofold. This is made possible by enabling the use of two parallel liquid chromatography streams. The ability to stagger chromatographic runs while collecting sample data allows the use of instrument "dead time" to increase the number of samples run in a given time period. This means identifying more compounds in a shorter period of time.
By combining the increased throughput of the MPX software with the capability of the SCIEX TripleTOF® 4600 accurate mass system to produce reliable data for a large number of compounds, researchers will be able to do more in less time compared to single-stream MS methods while significantly reducing rates of false positives and false negatives, thanks to LC separation of potential interferences and the enhanced specificity of high-resolution accurate mass technology.
Among the researchers who are using accurate mass technology today is Dr. Kara Lynch, PhD. from the University of California, San Francisco (UCSF). She uses a TripleTOF platform to identify unknown compounds, complementing the targeted analysis she does with triple quadrupole instrumentation.
"As the list of drugs and their metabolites are always changing, the value of high resolution, accurate mass technology is identifying unknowns with high specificity," said Dr. Lynchat UCSF. "Accurate mass-based analysis with a TripleTOF system helps identify compounds that could be missed in a targeted approach if a certain drug is not in the original method. Furthermore, with this technology, you are able to re-interrogate the data at a later date to answer new questions, without needing to re-run the samples."
SCIEX is committed to providing the tools to enable the adoption of accurate mass technology in clinical research laboratories. By applying MS/MS on an accurate mass system, clinical researchers can take advantage of the enhanced specificity of compound-specific MS/MS fragmentation. This enables more confident compound identification, including ID of unknown compounds, such as new 'designer' drugs.
SCIEX continues to drive innovation in clinical research to address existing issues, such as slow turnaround times and false positives or negatives, which hinder these labs from increasing productivity and improving data quality," said Rainer Blair, President of SCIEX. "We are helping clinical research labs reshape how they conduct drug screening to accurately identify not only known but also unknown compounds."
About AB SCIEX
SCIEX helps to improve the world we live in by enabling scientists and laboratory analysts to push the limits in their field and address the complex analytical challenges they face. The company's global leadership and world-class service and support in the mass spectrometry industry have made it a trusted partner to thousands of the scientists and lab analysts worldwide who are focused on basic research, drug discovery and development, food and environmental testing, forensics and clinical research. With 30 years of proven innovation, SCIEX excels by listening to and understanding the ever-evolving needs of its customers to develop reliable, sensitive and intuitive solutions that continue to redefine what is achievable in routine and complex analysis. Follow SCIEX on Twitter @ABSCIEX and on Facebook and LinkedIn.