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How to Optimize Environmental Monitoring Using Direct Mass Spectrometry

Available On Demand Until February 28, 2020

Conventional methods for analysis of trace volatile organic compounds (VOCs) in air, soil, and water usually involve significant sample preparation followed by slow chromatographic analysis. Direct mass spectrometry (DMS) provides opportunities for simplification – or even elimination – of sample preparation, plus real-time or high-throughput sample analysis.

This Webinar will introduce selected ion flow tube mass spectrometry (SIFT-MS), a DMS technique that provides highly sensitive and selective analysis of a wide range of compounds by applying eight rapidly switchable soft chemical ionization agents. Diverse VOCs (such as benzene and formaldehyde) and inorganic gases (such as sulfur dioxide and hydrogen sulfide) are detected in a single, simple analysis. Various environmental applications of SIFT-MS will be discussed, ranging from real-time ambient air monitoring to high-throughput soil and water analysis.

An audience Q&A will be included.


Will Kerr, Technical Sales Specialist, Syft Technologies

Will Kerr obtained his doctorate in organic chemistry from the University of Canterbury, New Zealand. Joining Syft Technologies in 2017 enabled Will to diverge from his training as a synthetic chemist and explore a new scientific direction in analytical chemistry. Now a technical sales specialist, he is able to share his enthusiasm for the novel applications of SIFT-MS with customers.

Vaughan Langford, Principal Scientist, Syft Technologies

Vaughan Langford joined Syft in 2002 after completing his Ph.D. in physical chemistry at the University of Canterbury, and post-doctoral fellowships at the Universities of Geneva, Western Australia, and Canterbury. With an extensive background in diverse applications of SIFT-MS (including 18 peer-reviewed publications and numerous conference papers), he provides advanced applications support to SIFT-MS users globally.

Moderator: Lisa Arrigo, SAE International

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