Syft Tracer

Ensuring that volatile leachable impurities are at low levels in packaging materials is crucial to prevent contamination into products such as food or pharmaceuticals. Initiatives that contribute to improved sustainability see more recycled polymer and paper packaging utilized by industry, which may require increased material testing even on the manufacturing line.

Explore how selected ion flow tube mass spectrometry (SIFT-MS) provides a versatile solution across different applications to offer low cost analysis and real-time monitoring.

Aroma compounds have diverse chemical functionalities, impart a wide range of favorable and unfavorable sensations to the human olfactory system, and have a wide range of sensory thresholds. Conventional analytical technologies, such as gas chromatography, often lack the combined time resolution and comprehensiveness of analysis required.

Discover the power of selected ion flow tube mass spectrometry (SIFT-MS) to conduct highly sensitive, highly specific and robust analysis of aroma compounds in air and headspace at trace concentrations. Learn how SIFT-MS can be applied to diverse high-throughput food analysis applications, including objective sensory analysis, authentication, and ingredient screening.

Personal care products (PCPs) are intended for regular use on the body, yet several volatile organic compounds (VOCs) commonly feature among ingredients of concern. This includes known or suspected carcinogens benzene, 1,4-dioxane, and formaldehyde. Syft Technologies presents the headspace-SIFT-MS (selected ion flow tube mass spectrometry) method, for all-in-one analysis of these three impurities in retail hair and skincare products. See how daily sample throughput can be achieved 8- to 30-fold faster with SIFT-MS compared with conventional GC-MS methods.

Selected ion flow tube mass spectrometry (SIFT-MS) was initially used in human breath analysis but has since shown great utility in monitoring for volatile impurities in industrial applications. SIFT-MS provides real-time, selective, and economic analysis of volatile compounds without the need for elaborate sample preparation or calibration with standard mixtures. The next-generation SIFT-MS instrument offers unmatched multi-analyte detection sensitivity, high selectivity, superior analytical stability, and ease of use and data interpretation. Explore how SIFT-MS can be used for real-time, high-throughput volatile impurities analysis, including in sustainable packaging, and real-time analysis of residual solvent and pharmaceutical impurities.

Nitrosamines have been classified as belonging to the Cohort of Concern (CoC) in the International Council for Harmonisation (ICH) M7 with stringent AI limits, and drug manufacturers frequently perform impurity testing to meet such regulatory guidelines. Selected ion flow tube mass spectrometry (SIFT-MS) provides rapid, sensitive, and selective quantitation of nitrosamines in pharmaceutical drug products. This application note describes an alternative approach to quantifying nitrosamines using SIFT-MS: static headspace analysis (SHA) of dissolved drug products. See how headspace-SIFT-MS analysis achieves excellent linearity and limits of detection (<10% of the acceptable daily intake (AI) limits) for six nitrosamines.

Enhancement of workflows for conventional analysis of volatile impurities is a great challenge due to chromatographic separation's relatively long analysis time. Additionally, expert operators are required, there is considerable sample preparation time, switching from one method to another requires a configuration change (hence re-calibration) or separate dedicated instruments and system maintenance is high. Syft Technologies provides information on how its mass spectrometry instruments can increase productivity and describes scenarios applicable to contract research organization (CRO) and contract drug manufacturing organization (CDMO) laboratories in which multiple volatiles methods need to be conducted regularly, while also catering for the occasional urgent and unscheduled analytical procedure.

Terpenes, a large class of organic compounds known for their distinctive smell and flavor profiles, are of significant interest to researchers due to the fact that changes to terpenes can be used to alter the smell or taste of a product. In this video interview with Dr. Sherrie Vicker of St Croix Sensory, discover how she has utilized Syft Tracer to advance her terpene research with exciting results. Syft Tracer is the next generation of real-time trace gas analysis, delivering highly sensitive, reproducible and quantitative data with unparalleled performance stability.

This webinar, presented by David Light (Valisure) and Leslie Silva, PhD (Syft Technologies), highlights the importance of testing consumer products for volatile impurities, and discusses how Syft Technologies’ new instrument, the Syft Tracer™, can be utilized. Several case studies explore how impurities are measured in consumer products, including benzene in aerosol products and other matrices.

Dr. Mark Perkins, Element Materials Technology, and Dr. Vaughan Langford and Dr. Leslie Silva from Syft Technologies discuss SIFT-MS and the latest iteration of that technology, Syft Tracer™, the next generation of SIFT-MS real-time trace gas detection. The speakers explore the challenges of volatile impurities analysis in the pharmaceutical industry and highlight how the Syft Tracer can address these challenges and the revolutionary impact it has on workflows for residual solvents.

Dr. Leslie Silva, an application scientist for Syft Technologies, highlights the features of the Syft Tracer™ – the latest advancement in selected ion flow tube mass spectrometry (SIFT-MS) technology. Relevant markets and applications of this product encompass pharma/CDMO, consumer goods, environmental, food, flavors and fragrances, petrochemical, automotive, lab and research, and emerging applications.

Discover how groundbreaking research on volatile organic compounds (VOCs) links extreme earth environments with outer space, uncovering unexpected connections across various scientific disciplines