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!

SIFT-MS provides instant, direct analysis of volatile freshness markers emitted from fish and seafood, ensuring that products are fresh.

Due to relatively long shipping times, and relatively high shipping costs, green kiwifruit producers need to ensure that their fruit is at optimal ripeness before it is shipped. This study demonstrates that SIFT-MS readily analyzes volatile compounds around trays of kiwifruit, yielding an accurate assessment of fruit ripeness.

Process-line or laboratory detection of fish oil oxidation is achieved extremely simply by applying SIFT-MS for instantaneous, direct detection of volatile oxidation markers.

Direct headspace analysis using SIFT-MS is very sensitive and provides straightforward determination of aroma volatile concentrations. This application note uses fruit juices and mixes as a case study, demonstrating the ease with which static headspace and stripping studies can be conducted using SIFT-MS.

This application note demonstrates the simplicity with which small molecules are detected from fruits using direct SIFT-MS analysis, in contrast to conventional gas chromatographic methods. Automated SIFT-MS also provides significant throughput and method development advantages compared to conventional analytical approaches.

Rapid classification of coffee bean origin is achieved simply and objectively by applying SIFT-MS to instantaneous, direct detection of emitted volatile compounds.

Analysis of in vivo flavor release from foods requires high sensitivity, rapid response, and immunity to moisture. SIFT-MS combines these requirements with best-in-class selectivity to effectively measure flavor release, as demonstrated in this case study for chewing gums.

This application note describes how SIFT-MS coupled with multivariate statistical analysis rapidly classifies beer products by targeting well-known beer aroma compounds.  Automated headspace-SIFT-MS analysis can classify beer at throughputs of 12 samples per hour, offering great potential for rapid product screening.

Plant species – even to the cultivar level – usually have distinctive natural aromas. When damaged, additional volatile compounds are generated through enzymatic activity. SIFT-MS readily detects and quantifies volatiles characteristic of both aroma and leaf wounding in real-time, which are of significance to the culinary and agricultural industries, respectively.

In this webinar, we introduce the SIFT-MS technique and its automation, and present a variety of automated food and aroma applications, including:

• Varietal and origin authentication
• Objective sensory screening
• Packaging testing
• Process quality assurance applications

SIFT-MS provides rapid analysis of volatiles that indicate non-conformance of foods and ingredients.  This webinar describes how SIFT-MS can be employed in both targeted and untargeted operational modes to achieve high-throughput detection of product defects.

Watch this webinar to hear the behind-the-scenes story of how Anatune’s passion for automating routine testing coupled with Dr Mark Perkins’ outstanding technical skills took SIFT-MS from manual to automated laboratory analysis. Mark shares how combining Syft Technologies’ SIFT-MS with the GERSTEL multipurpose sampler creates a high-throughput analysis solution for volatiles.