LC–MS

This instalment of “Column Watch” presents many of the highlighted topics and trends observed at this exceptionally well-run symposium.

Webinar Date/Time: Tue, Sep 19, 2023 11:00 AM EDT

The combination of the “bottom-up” approach with digest-free, direct-sequencing proteomics, along with the addition of a proteogenomics pipeline that identified missing data, yielded the determination of almost 3000 proteins.

Researchers in China studied a new process for measuring aberrant metabolites.

What critical components can help to resolve the separation challenges related to pesticides analysis in food?

Webinar Date/Time: Thursday, September 14th, 2023 at 8am PDT | 11am EDT | 4pm BST | 5pm CEST Thursday, September 14th, 2023 at 11am PDT | 2pm EDT | 7pm BST | 8pm CEST Friday, September 15th, 2023 at 11am CST | 12pm JST

Webinar Date/Time: Thursday, September 7, 2023 at 9am EST and 2pm ES

Webinar Date/Time: Thu, Aug 24, 2023 11:00 AM EDT

To gain a better understanding of phosphatidylinositols, scientists used different LC–MS/MS techniques to find classifications to use in identifying further species of Pls.

Increases and decreases in anthocyanin concentration, which relates to the level of sugars found in red wine, were observed at specific weekly intervals of the grape ripening process.

Trypsin is one of the most commonly used proteases in peptide mapping protocols because of its high level of specificity. However, trypsin alone is not always sufficient for full sequence coverage. In this article, the authors detail how trypsin was combined with chymotrypsin to overcome this, and the benefits of an automated platform.

An overview of different approaches for the qualitative and quantitative analysis of polysorbates.

Plant growth regulators (PGRs) have significant effects on plant physiological processes, but the complex matrices of plants, along with polarity and instability issues inherent with PGRs, complicate trace analysis of these compounds.

Sauce-flavor or sauce-aroma baijiu, one variant of a popular Chinese liquor, is treated with a fermentation starter called daqu, giving the concoction a unique taste profile, and scientists want more information about how it can inform the manufacturing of higher-quality baijiu.

Webinar Date/Time: Tue, Aug 15, 2023 11:00 AM EDT

Among the compounds of concern found in the samples were nicotine-related alkaloids, psychoactive cannabinoids, and chemicals that promoted inflammation of the respiratory system.

While both branched-chain fatty acids (BCFAs) and straight-chain fatty acids (SCFAs) were analyzed, the profiling of BCFAs was considered especially important for future metabolomics and lipidomics studies.

High-throughput proteomic research has been hampered by the limited peak capacity of one-dimensional liquid chromatography (1D-LC) separation performance.

A water-resistant, highly adsorptive molecularly imprinted polymer was developed to address the issues of unstable adsorption performance and high organic solvent consumption in traditional materials.

Although closantel (CLO) is well-regarded as a curative antiparasitic drug, even low doses have been found to cause serious side effects in the human retina and central nervous system.

Examining the role that LC–MS/MS plays in metabolomics, and metabolomics’ growing importance in the field of disease biology.

Researchers have developed a robust method utilizing high-performance liquid chromatography–tandem mass spectrometry (HPLC–MS/MS) to accurately quantify amino acids in plasma, making it a valuable tool for clinical diagnostics and research in amino acid metabolism.

Levoglucosan, which is emitted from the combustion of cellulose and hemicelluloses, can be transported over a long range of time to ice caps, where it may indicate fire activity both regionally and globally.

Researchers have developed an ultrahigh-pressure liquid chromatography (UHPLC)—tandem mass spectrometry (MS/MS) method for the simultaneous determination of 10 aminoglycoside antibiotics in aquatic products.

Researchers have introduced MCnebula, a new framework for untargeted LC–MS/MS data analysis. MCnebula focuses on critical chemical classes and utilizes visualization techniques to streamline the analysis process, enabling efficient pathway analysis, biomarker discovery, and classification of unknown compounds beyond the limits of spectral libraries.