Torion Technologies Inc. Partners with Smiths Detection
Torion Technologies Inc. (American Fork, Utah), a manufacturer of automated miniaturized, hand-portable GC and toroidal ion trap mass spectrometry (TMS) technology, has announced a partnership with Smiths Detection (Danbury, Connecticut), part of the global technology business, Smiths Group and a technology developer and manufacturer of sensors that detect and identify explosives, chemical and biological agents, weapons, and contraband.
Torion Technologies Inc. (American Fork, Utah), a manufacturer of automated miniaturized, hand-portable GC and toroidal ion trap mass spectrometry (TMS) technology, has announced a partnership with Smiths Detection (Danbury, Connecticut), part of the global technology business, Smiths Group and a technology developer and manufacturer of sensors that detect and identify explosives, chemical and biological agents, weapons, and contraband.
According to the companies, the alliance enables the joint development of a next-generation, hand-portable GC-TMS system for the security, defense, and civil emergency responder markets. This technology is designed to identify a variety of substances such as chemical warfare agents (CWAs) and simulants, volatile and semivolatile organic compounds (VOCs and SVs), and other hazardous compounds.
Detangling the Complex Web of GC×GC Method Development to Support New Users
September 12th 2024The introduction of comprehensive two-dimensional gas chromatography (GC×GC) to the sample screening toolbox has substantially increased the ability to comprehensively characterize complex mixtures. However, for many gas chromatography (GC) users, the thought of having to learn to develop methods on a new technology is daunting. Developing a basic GC×GC method for most (nonspecialized) applications can be accomplished in minimal time and effort given parameter suggestions and ranges to target analytes in a sample of interest. In this article, the authors work describe a simple workflow to develop a GC×GC method for a specific sample upon initial use, with the aim of decreasing the time to accomplish functional workflows for new users.
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