Knowledge Base
Learn more about the power of trace gas analysis using SIFT-MS. Download our latest brochures, application notes and white papers or watch an application-focused video. Questions? Contact us!
Rapid Parmesan Classification Using Automated Static Headspace-SIFT-MS
Automated, direct headspace analysis using selected ion flow tube mass spectrometry (SIFT-MS) provides rapid and economic screening of food products and ingredients. This application note describes how SIFT-MS coupled with multivariate statistical analysis rapidly classifies genuine Italian Parmesan cheeses by product and manufacturer via the most important odor impact compounds.
An Analytical Chemistry Research Fellow Shares His Experience with SIFT-MS
We asked Geraint Morgan, Research Fellow at The Open University, about his experience using SIFT-MS. He discusses how his Syft Tracer has opened up new ways of looking at samples that are difficult to analyze by traditional methods such as formaldehyde and other aldehydes.
Taking Real-Time Mass Spec on the Go
Syft Explorer is a comprehensive solution for making real-time mass spec measurements anywhere on-site. It includes next-gen SIFT-MS, onboard clean dry air, and automatic power management bundled in a mobile format. Never miss a contamination event again!
A Complete Solution for Monitoring Chemical Exposure in Workplace Settings
Download this brochure to learn how Syft SafetySure helps to ensure front line worker safety by providing fast and simple monitoring of volatile compounds in workplace settings. Accurate and reproducible results are provided in seconds that are actionable and easy to understand.
Effect of Yogurt on the Deodorization of Raw Garlic Sulfur Volatiles in Breath and the Roles of its Components
Download this cover story article in the June 2024 issue of Dairy which examines the effectiveness of yogurt in deodorizing garlic breath. Learn how SIFT-MS was used in breath (in vivo) and headspace (in vitro) analyses of garlic sulfur volatiles to determine the effect of yogurt on sulfur garlic volatiles.
High Throughput Quantitation of Toxic Impurities in Hair and Skincare Products
This application note describes an automated headspace-SIFT-MS method that provides rapid, sensitive quantitation of benzene, 1,4-dioxane, and formaldehyde simultaneously in personal care products (PCPs). Results indicate that SIFT-MS holds an 8- to 30-fold throughput advantage over conventional gas chromatography (GC-MS) analysis.
What's in Your Air? Protecting the Environment and People with SIFT-MS
In this presentation from Analytica 2024, Marino Beenhakker and Dr. David Muller describe environmental and consumer product applications of next-gen SIFT-MS including ambient air monitoring in New Zealand and PFAS measurement in consumer goods.
High-Throughput Quantitation of NDMA in Recalled Metformin using Headspace-SIFT-MS
This application note describes a headspace-SIFT-MS method for the analysis of N-nitrosodimethylamine (NDMA) that compares well with LC-MS/MS approaches and holds a 3X throughput advantage. Seamless transitions between test methods make Syft Tracer the most efficient and flexible instrument for analysis of volatile impurities, including in QC applications.
Rapid Screening and Quantitation of Hazardous Volatile Impurities in Personal Care Products by Headspace-SIFT-MS
This publication describes the suitability of headspace-SIFT-MS as a potential all-in-one approach to the combined analysis of benzene, 1,4-dioxane, and formaldehyde in personal care products (PCPs). The results suggest that the headspace SIFT-MS method may hold an 8- to 30-fold throughput advantage over conventional GC-MS analyses.
Quantitative Analysis of NDMA in Drug Products
This paper describes a proposed high-throughput method for analyzing nitrosamines in drug product using Headspace–SIFT-MS. In this study, N-nitrosodimethylamine (NDMA) was quantified directly and rapidly from drug product without dissolution, at levels well below the regulatory acceptable intake of 96 ng day−1. Use of the novel MHE-SIFT-MS approach may enable a wider screening of drug products to be conducted, since it provides around a three-fold increase in daily sample throughput.