Leco Announce Chemical Ionization Source for Pegasus® GC-HRT

20 Mar 2013

Product news

LECO Corporation is pleased to announce a chemical ionization (HR-CI) source for the Pegasus GC-HRT (high resolution time-of-flight mass spectrometer). This field upgradable option empowers users to dramatically change their high resolution GC/MS information with never before seen mass accuracy and resolution on pseudomolecular ions. The Pegasus GC-HRT is available with both electron ionization (EI) and HR-CI sources, providing the option of comparison with classic library spectra (EI), and preservation of the molecular ion (HR-CI).

"We are excited to announce the availability of this traditional source for our Pegasus GC-HRT,” said Dr. Lorne Fell, Product Manager, LECO Separation Science. “We believe that it will take molecular ion confirmation to a whole new level when combined with the power and capabilities of the GC-HRT."

“For scientists performing petroleum analyses or metabolomics research, the addition of HR-CI makes possible identification of molecular ions and permits the robust assignment of molecular formula enhanced by the resolution and isotope ratios,” said Dr. Jeff Patrick, Director of Marketed Technologies, LECO Separation Science. “This is useful in many other fields of analysis, including environmental, dioxins, and food safety.”

Together, the CI source and the Pegasus GC-HRT provide a complete package for high-throughput/high-information content analysis, with resolution up to 50,000 FWHM, mass accuracies less than 1 ppm, and acquisition rates up to 200 spectra/second—all with high-integrity isotopic abundance measurements to facilitate rich information content and high-confidence analyte identification. ChromaTOF-HRT® software utilizes True Signal Deconvolution® for accurate peak identification, seamless data handling, and compatibility with the NIST library.

Pegasus® GC-HRT

LECO Corp.

While some systems on the market offer users a choice between acquisition speed or resolution, the Pegasus GC-HRT provides scientists with an unprecedented combination of speed, resolution, mass accuracy, isotopic abundance, and dynamic range. This instrumentation utilizes LECO's own Folded Flight Path™ (FFP™) technology to allow users to achieve resolutions of up to 50,000. LECO's exclusive ChromaTOF-HRT™ software with Automated Peak Find and True Signal Deconvolution® provides seamless data handling and compatibility with the NIST Library.

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Mass SpectrometryMass spectrometry (MS) is a powerful analytical technique used to identify and quantify molecules based on the mass-to-charge ratio of gas-phase ions. It provides detailed information about the structure, composition, and properties of compounds and is widely used across fields such as environmental monitoring, materials science, drug discovery and development, food and beverage testing, and wider chemical research. Key MS techniques include tandem mass spectrometry (MS/MS), liquid chromatography–mass spectrometry (LS-MS) and inductively coupled plasma (ICP-MS). Choosing from these wide range of techniques and technologies can be a daunting task, so keep up to date with scientific applications, performance expectations, and customer reviews here all in one place. Visit our product directory to receive quotes direct from the manufacturer. MetabolomicsMetabolomics is the study of small metabolites (the intermediates and products of metabolism). It involves the identification and quantification of cellular metabolites using analytical technologies such as GC, HPLC, NMR, and LC/MS.PittconPittcon is one of the largest conferences and exhibitions dedicated to laboratory science. It brings together professionals and innovators in analytical chemistry, physics, and biology, offering a platform to explore the latest scientific tools and technologies. From cutting-edge laboratory instruments to emerging research trends, Pittcon is a must-attend event for professionals in research and development. High ThroughputHigh throughput experiments allow the simultaneous processing of several samples. This parallelization reduces the cost per experiment and increases reproducibility and output volume of data.