Mass Spectrometry

Webinar Date/Time: Thu, Oct 8, 2026 11:00 AM EDT

A history of the James L. Waters Symposium at Pittcon, from its 1987 origins and its founder, instrument entrepreneur James Logan Waters, through thirty-six installments of speakers spanning gas chromatography to generative AI.

Webinar Date/Time: Thu, Sep 3, 2026 11:00 AM EDT

Webinar Date/Time: Thu, Aug 6, 2026 11:00 AM EDT

Webinar Date/Time: Tue, Jul 7, 2026 11:00 AM EDT

ASMS 2026 highlighted AI-driven MS software, faster/deeper proteomics, spatial biology imaging, biopharma characterization tools, PFAS monitoring, and greener instrumentation.

2026 ASMS awards honor advances in native MS, single-cell proteomics, metabolomics, and instrumentation, spotlighting mass spectrometry's scientific impact.

ASMS 2026 highlights a potential paradigm shift in metabolomics, as new evidence suggests many unknown signals are ESI artifacts.

New R tool auto-decodes polyol structures from mass spec data—great for screening complex formulas.New R tool auto-decodes polyol structures from mass spec data—great for screening complex formulas.

Rapid chromatography-free method enables untargeted detection of food adulterants for quality control.

Vaughan Langford discusses the application of automated selected ion flow tube mass spectrometry (SIFT-MS) analysis to diverse high-throughput food analysis applications, including sensory-correlated analysis, authentication, and ingredient screening.

High-end mass spectroscopy innovation is driven by proteomics, leaving scientists in other fields like drug development, environmental analysis, and metabolomics underserved.

Ionic liquids (ILs) are structurally tunable salts that pose unique analytical challenges.Ionic liquids (ILs) are structurally tunable salts that pose unique analytical challenges. This article reviews how mass spectrometry is used to study IL ion clusters, dissociation pathways, and decomposition products, with a focus on applications in spacecraft propulsion and environmental contamination.

Webinar Date/Time: Wednesday, May 27 and Thursday, May 28, 2026 Morning Session: 9:00 AM EDT Lunchtime Session: 12:00 PM EDT Afternoon Session: 1:00 PM EDT

Μetabolomics enables the comprehensive profiling of small molecules in medicine, plant science, and systems biology. Its true value depends not on the number of detected features but on the reliability of metabolite identification and pathway analysis. Despite well-established guidelines, annotation and definitive identification are often conflated in practice. Simple matches in mass databases are frequently reported as identities, without comparison to standards or chromatographic evidence. This overstatement of confidence compromises validity and risks propagating errors into databases, pathway analyses, and AI-driven workflows. Mass spectrometry (MS) alone is rarely sufficient for identification and orthogonal evidence is essential. Chromatographic retention time is an underused but powerful descriptor reflecting molecular properties. When combined with MS it can provide plausibility checks and form the basis of Level 1 identification. Regulatory frameworks already require such combined criteria in targeted analysis. Systematic use of retention order, retention indices, and prediction models can filter implausible candidates and strengthen identification.

This article discusses how integrating seven prioritization strategies can enhance compound identification, support environmental risk assessment, and accelerate decision-making.

Webinar Date/Time: Tuesday, March 17 and Wednesday, March 18, 2026 Morning Session: 9:30 AM EDT | 1:30 PM GMT | 2:30 PM CET Afternoon Session: 12:00 PM EDT | 4:00 PM GMT | 5:00 PM CET

Webinar Date/Time: Thursday, March 19, 2026 8am PST | 11am EST | 4pm GMT | 5pm CET

Webinar Date/Time: Thu, Feb 26, 2026 12:00 PM EST

Webinar Date/Time: Thursday, February 19, 2025 8am PST | 11am EST | 4pm GMT | 5pm CET

Webinar Date/Time: Tue, Jan 20, 2026 11:00 AM EST

Selected ion flow tube mass spectrometry (SIFT-MS) offers potential for rapid screening of volatile nitrosamines and their amine precursors in a single run.

High-throughput mass spectrometry (HT-MS) is becoming a driving force in modern drug discovery. This article explains how a purpose-built digital ecosystem—featuring structured data, automation, artificial intelligence (AI)-driven analytics, and cloud scalability—is essential to translate massive HT-MS data sets into reproducible, actionable decisions.

Webinar Date/Time: Monday, December 8, 2025 8am PST | 11am EST | 4pm GMT | 5pm CET

Chip Cody discusses his work in mass spectrometry, including DART ion source innovations and insights on chromatography integration.