Vaughan Langford is a principal scientist at Syft Technologies in New Zealand. He joined Syft in late 2002 after completing his Ph.D. in physical chemistry at the University of Canterbury, and postdoctoral fellowships at the Universities of Geneva, Western Australia, and Canterbury. He has over 30 peer-reviewed publications on a wide range of SIFT-MS applications, and has contributed numerous conference papers. Direct correspondence: vaughan.langford@syft.com
Pharmaceutical excipients, such as polyethylene glycol-based polymers, must be tested for the presence of ethylene oxide (EtO) and 1,4-dioxane as part of a safety assessment, according to USP Chapter <228>.
Rapid Quantitative Analysis of Ethylene Oxide and 1,4-Dioxane in Polymeric Excipients Using SIFT-MS
Pharmaceutical excipients, such as polyethylene glycol-based polymers, must be tested for the presence of ethylene oxide (EtO) and 1,4-dioxane as part of a safety assessment, according to USP Chapter <228>.
Demystifying Sample Preparation for Headspace Analysis Using Direct Injection Mass Spectrometry
May 1st 2023Direct-injection mass spectrometry (DIMS) and gas chromatography (GC) approaches have some significant differences that are pertinent when analyzing volatile organic compounds (VOCs). We explain.
Rapid Classification of Beef Aroma Quality Using SIFT-MS
November 1st 2018Application of multivariate statistical analysis to a combined data set demonstrated that SIFT-MS discriminates premium quality beef from eight sensory defects, and, therefore, could be applied as an instrumental grading tool, obviating sensory panel grading.
High-Throughput Analysis of Volatile Compounds in Air, Water, and Soil Using SIFT-MS
July 1st 2018For the BTEX compounds, detection limits in the single-digit parts-per-billion concentration range (by volume) are readily achievable within seconds using selected ion flow tube mass spectrometry (SIFT-MS), because sample analysis is achieved without chromatography, preconcentration, or drying.
Real-Time, Broad-Spectrum Odor Analysis Using SIFT-MS
March 1st 2016The sensitive, selective, and real-time analysis characteristic of the SIFT-MS technique provides simple, robust, and continuous analysis of extremely diverse odor compounds at trace levels in air. This application note illustrates instantaneous, broad spectrum odor analysis with monitoring data from a chicken meat production facility.