Application Notes: General

Lee Ferguson, a Professor of Civil and Environmental Engineering at Duke University, and his group are developing and applying analytical methods to measure organic pollutants in the environment, with a focus on high-resolution mass spectrometry (HRMS) for detecting and quantifying emerging contaminants in wastewater and drinking water. In this video interview, we speak with Ferguson about his laboratory’s work accurately tracing these contaminants in complex environmental matrices.

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Per- and polyfluoroalkyl substances demand precise detection. YMC-Triart C18 columns ensure superior separation and accurate quantification, even in complex matrices.

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Molecular rotational resonance (MRR) spectroscopy operates in the microwave region, detecting transitions between pure rotational energy levels. Combined with adiabatic cooling, MRR produces highly selective spectra unique to each molecule’s atomic structure. Even slight changes in atomic position or mass result in distinct spectral differences, allowing MRR to directly analyze complex mixtures, including isomers, without chromatographic separation. This article presents a continuous headspace-MRR method for analyzing Class 2 residual solvents, including low-volatility solvents from Class 2 Mixture C. By evaluating solvents with diverse boiling points, the study demonstrates that MRR meets ICH and USP standards for most Class 2 and Class 3 solvents and half of Class 1 solvents.

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Cyclic peptides, known for their stability and high specificity, are promising therapeutic agents in the fight against cancer, infections, and autoimmune diseases. However, developing effective cyclic peptides presents numerous challenges, including poor pharmacokinetics, efficacy, and toxicity. Traditional methods like liquid chromatography tandem-mass spectrometry (LC-MS/MS) often struggle with resolving isomeric linear peptide metabolites, posing significant risks in safety, efficacy, and regulatory approval. In this paper, Komal Kedia, PhD, will share how she leveraged MOBIE’s high-resolution ion mobility-mass spectrometry (IM-MS) system to achieve a 72% reduction in run times, 200% greater resolving power, and enhanced accuracy in identifying “soft spots” prone to enzymatic degradation.

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Explore advancements in utilizing alternative solvents for SIFT-MS. This tech note introduces three new solvents—acetonitrile, N,N'-dimethylpropyleneurea (DMPU), and propylene glycol (PG)—and highlights the enhanced sensitivity and applications of existing solvents like triacetin. The findings demonstrate significant benefits in analyzing diverse VOCs while addressing challenges in method development.

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SIFT-MS instruments show exceptional reproducibility. By comparing standardized analytical methods on multiple instruments, it demonstrates high consistency in trace gas quantitation with 95% confidence intervals below 21% for the Syft Tracer and 38% for legacy devices. The findings emphasize Syft's commitment to advancing reliable, real-time analysis solutions for diverse applications.

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Learn about the world's only 21 CFR Part 11 compliant real-time mass spec, Syft Tracer Pharm11. It is a high-throughput solution for compliant pharma and CDMO workflows.

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This study demonstrates that headspace-SIFT-MS meets United States Pharmacopeia (USP) criteria for six nitrosamines, achieving low limits of quantitation (0.06 ppm for NDMA and 0.03 ppm for NDEA) even in complex drug matrices. With high recovery rates and significant reductions in solvent usage, consumables, and operational complexity compared to traditional chromatographic methods, the Syft Tracer Pharm11 solution is an efficient screening tool for nitrosamines and volatile impurities.

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Sensory Directed Analysis quickly identifies off-odors associated with lipid oxidation in food products such as edible oils and fats. Automated solventless extraction of food products is carried out using DHS or direct thermal extraction. This is followed by a concentration step and GC-O/MS determination of odors. The use of olfactory and MS detection enables the simultaneous determination of sensory-active regions of the chromatogram and mass spectral identification of associated compounds. The dedicated evaluation software ensures an efficient identification of the off-odors based on the GC-O/MS data.