Practical Chemometrics for Profiling Contaminants

Saer Samanipour from the Van ‘t Hoff Institute for Molecular Sciences (HIMS) at the University of Amsterdam spoke to LCGC International about the benefits of a data-driven reversed-phase liquid chromatography (RPLC) approach his team developed.

In a new study, scientists introduced no-code automation as a strategic response for addressing talent shortages in the chemical industry.

Analyzing functional foods reveals numerous health benefits. These foods are rich in bioactive compounds that go beyond basic nutrition, boosting the immune system and improving overall wellness. However, analyzing these compounds can be challenging. This article discusses AI algorithms to support automated method development for liquid chromatography, simplifying the process, enhancing labor efficiency, and ensuring precise results, making it accessible to non-experts for tea analysis.

As part of our ISC 2024 coverage, we recently interviewed Bram Huygens of Vrije Universiteit Brussel about his scientific background and his thoughts on receiving our Rising Stars of Separation Science Award for Liquid Chromatography.

Here is some of the most popular content posted on LCGC International this week.

MS-SMART integrates three intelligent algorithms: automatic mining of diagnostic ions, rapid filtration of alkaloids from untargeted MS/MS data, and structural recommendations for filtered components.