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 presents a breakthrough in the detection, quantitation and tracing of petroleum hydrocarbons.  This brochure outlines several SIFT-MS-based petrochemical industry solutions provided by Syft Technologies including mud logging, sour gas detection, oil and gas prospecting, leak detection, and fence line monitoring.

We present the results of the first study where SIFT-MS was used to detect and quantify hydrogen sulfide in natural gas and liquefied petroleum gas (LPG).  SIFT-MS very effectively detects and quantifies hydrogen sulfide to mid part-per-billion levels in natural gas and LPG (due to the need for dilution).  The degree of souring of natural gas, in addition to determining its light to medium hydrocarbon composition, can be determined.

SIFT-MS can continuously analyze volatiles that indicate non-conformance of raw materials, such as bulk gases utilized in semiconductor manufacture. This webinar describes how SIFT-MS can be deployed in both targeted and un-targeted operational modes to enhance quality assurance and increase yields, via continuous monitoring.

Real-time monitoring of gas streams using selected ion flow tube mass spectrometry (SIFT-MS) provides continuous product quality feedback. This application note describes how SIFT-MS SCAN analysis coupled with multivariate statistical analysis readily detects untargeted defects in semiconductor manufacturing “bulk gas.”

SIFT-MS is a unique analytical solution that provides comprehensive, high-sensitivity detection of volatile organic and inorganic gases (including HCl, HF, and SOx) within seconds. As a single, comprehensive instrument with rapid analysis, SIFT-MS provides great economic benefit. This webinar describes the application of SIFT-MS to AMC monitoring – from the front-opening unified pod (FOUP) to the clean room.

The unique attributes of SIFT-MS enable the speciation and quantitation of volatile compounds in real-time, providing a single solution for online monitoring of clean room relevant organic and inorganic airborne molecular contaminants (AMCs) down to parts-per-trillion by volume (pptv) levels in semiconductor fabs.  Learn how to detect AMCs when they happen and never miss a contamination event again.

The broad-spectrum and high-throughput analysis provided by SIFT-MS, coupled with high sensitivity and selectivity provides simple, real-time analysis of volatile emissions from front-opening unified pods (FOUPs) and components.

This webinar addresses chemical and sensory-like analysis using SIFT-MS in the context of odors from paperboard packaging.  SIFT-MS is a powerful tool for rapid instrument-based sensory screening.

This application note describes the application of SH-SIFT-MS to the detection of very diverse volatiles in eleven paperboard samples with analysis times of less than one minute per sample.

This webinar describes a recent addition to the portfolio of techniques available for routine sample analysis: SIFT-MS. SIFT-MS enables rapid, quantitative analysis of VOCs across the full spectrum of packaging materials.  Detailed case studies will describe applications in polymeric and paperboard emissions analysis.

In this webinar, we discuss how analytical method validation is approached for SIFT-MS so that data collected can be used to support regulatory requirements. This is achieved by applying a strategic approach in accordance with ICH Q2(R1) guidelines. Finally, we will illustrate SIFT-MS method validation using two case studies: 1) common toxic volatiles in water, 2) BTEX in soil following methanolic extraction.

In this paper, the unique capabilities of SIFT-MS are illustrated for residual monomer analysis, using formaldehyde emissions from polyoxymethylene (POM) polymer to illustrate.  SIFT-MS provides significant throughput increases for both testing laboratories and quality assurance/quality control (QA/QC) in a process environment.