High-throughput water analysis.
Analysis of volatile compounds in water is greatly simplified by SIFT-MS. The soft chemical ionization is robust to water and enables moist samples to be analyzed directly. This contrasts with GC and GC/MS approaches, where rigorous drying needs to be undertaken after extraction or purging and trapping. Using SIFT-MS, low ppb concentrations (in water) of hydrophobic volatiles (such as BTEX and low molecular weight halocarbons) are readily detectable without drying.
Linear calibration of benzene, toluene, ethylbenzene, m-xylene, and chloroform from 2.5 to 1,000 ppb in water. Courtesy of Dr Mark Perkins, Element, UK
Water analysis benefits
Direct headspace analysis without drying
High-throughput automated analysis (>12 samples/hour)
High sensitivity and selectivity
Continuous monitoring option
Water and Soil resources
Routine Analysis 3: SIFT-MS Method Development and Validation
SIFT-MS Method Validation
High-Throughput Analysis of Volatile Compounds in Air, Water and Soil Using SIFT-MS
Rapid Analysis of BTEX in Water using Automated SIFT-MS
Selected ion flow tube mass spectrometry (SIFT-MS) combined with GERSTEL automation greatly simplifies analysis of benzene, toluene, ethylbenzene and the xylenes (BTEX) in water. This application note demonstrates the linearity, repeatability and sensitivity achievable with automated SIFT-MS. Automated static headspace (SH)-SIFT-MS provides sample throughputs at least three-fold higher than traditional purge-and-trap-gas chromatography methods.
Enhanced Environmental Monitoring 2: Laboratory Applications
Real-Time Speciation of Ethylbenzene from the Xylenes Using SIFT-MS
Direct mass spectrometry (DMS) techniques struggle to speciate ethylbenzene from the xylene isomers, yet increasingly regulators are imposing different emission and exposure limits for these compounds. This application note describes a significant breakthrough for DMS, because selected ion flow tube mass spectrometry (SIFT-MS) readily achieves direct, real-time speciation of the xylenes from ethylbenzene.
Rapid Analysis of Organochlorine Compounds in Water using Automated SIFT-MS
Combining the power of direct analysis using selected ion flow tube mass spectrometry (SIFTMS) and GERSTEL automation, headspace analysis of chlorinated volatile organic compounds (VOCs) in water is greatly simplified. This application note demonstrates the linearity and and repeatability achievable with automated SIFT-MS. The sample throughput achievable with SIFTMS is at least three-fold higher than traditional purge-and-trap gas chromatography methods.
Syft Tracer: The Next Generation of Volatile Impurities Analysis for Enhanced Workflows
This app note introduces the next generation of SIFT-MS, Syft TracerTM, which launched at Pittcon 2023. It revolutionizes volatile impurities analysis workflows through unparalleled speed, performance stability, and reproducibility. Learn about how this innovation to real-time trace gas detection outpaces chromatography-based methods in the analysis of challenging analytes such as formaldehyde in a PEG excipient.
Recent developments and applications of selected ion flow tube mass spectrometry (SIFT‐MS)
SIFT‐MS is now recognized as the most versatile analytical technique for the identification and quantification of trace gases down to the parts‐per‐trillion by volume, pptv, range. This statement is supported by the wide reach of its applications, from real‐time analysis, obviating sample collection of very humid exhaled breath, to its adoption in industrial scenarios for air quality monitoring. This review touches on the recent extensions to the underpinning ion chemistry kinetics library and the alternative challenge of using nitrogen carrier gas instead of helium.
The Latest Innovation of Real-Time, High-Throughput Volatile Impurities Analysis by SIFT-MS
Join us for this webinar to learn about Syft Tracer, the latest advancement of real-time, trace gas analysis by SIFT-MS which launched at Pittcon 2023. Hear how the recent product innovations unlock analytical bottlenecks and enable faster decisions to be made in critical process steps.