LC-MS – News and Features

A new report reveals alarming levels of toxic heavy metals in protein powders, with nearly 50% of products exceeding safety thresholds for lead, cadmium and arsenic. The study highlights organic and plant-based powders as the most contaminated.

This article explores some of the challenges in food authenticity testing, how advancements in technology have impacted the field, and consumer awareness and protection.

Impurities in pharmaceuticals are a major concern for drug manufacturers. This article will discuss the importance of monitoring and minimizing impurities in drug substances and products and key developments in the field.

As the field of oligonucleotide therapeutics continues to evolve, the integration of robust analytical tools will be essential in advancing personalized medicine and improving patient outcomes across a wide range of diseases.

To properly monitor PFAS exposure and protect public health, researchers are building an analytical toolkit to ensure that all relevant PFAS are captured.

PFAS are raising health concerns due to accumulation in the environment and humans. This article explores the advanced analytical methods that aid PFAS detection in drinking water, ensuring compliance and enhancing public health protection.

This article delves into MS data analysis and its associated challenges, how AI/ML can aid analyses and exciting potential future developments in the field, with specific applications to proteomics and metabolomics research.

Technology Networks asked a selection of startups featured in the ELRIG Drug Discovery 2024 Breakthrough Zone how their technology might reshape the pharmaceutical industry and pave the way for the next generation of therapeutic discovery.

This article highlights several inspiring men and women working across academia and industry who are breaking barriers and regaining ownership of their own narratives.

A new study offers fresh insights into our understanding of colorectal cancer, challenging the conventional right- and left-sided disease classifications.