Analysis of Organic Micro-pollutants in the Environment by Multi-dimensional UHPLC and High Resolution/Accurate Mass Spectrometry
The application of high resolution, accurate mass (HRAM) mass spectrometry coupled with multidimensional chromatographic separations, bioaffinity isolation techniques, and online sample preparation methods to detect, identify, and quantify emerging contaminants (including endocrine disruptors, pharmaceuticals, and surfactants) in wastewater and drinking water.The overarching goal of Lee’s research is to gain an increased understanding of how emerging contaminants are transported, transformed and induce deleterious effects within aquatic ecosystems.
The application of high resolution, accurate mass (HRAM) mass spectrometry coupled with multidimensional chromatographic separations, bioaffinity isolation techniques, and online sample preparation methods to detect, identify, and quantify emerging contaminants (including endocrine disruptors, pharmaceuticals, and surfactants) in wastewater and drinking water.
The overarching goal of Lee’s research is to gain an increased understanding of how emerging contaminants are transported, transformed and induce deleterious effects within aquatic ecosystems.
This is a modal window.
The Video Cloud video was not found.
Investigating the Protective Effects of Frankincense Oil on Wound Healing with GC–MS
April 2nd 2025Frankincense essential oil is known for its anti-inflammatory, antioxidant, and therapeutic properties. A recent study investigated the protective effects of the oil in an excision wound model in rats, focusing on oxidative stress reduction, inflammatory cytokine modulation, and caspase-3 regulation; chemical composition of the oil was analyzed using gas chromatography–mass spectrometry (GC–MS).
Evaluating Natural Preservatives for Meat Products with Gas and Liquid Chromatography
April 1st 2025A study in Food Science & Nutrition evaluated the antioxidant and preservative effects of Epilobium angustifolium extract on beef burgers, finding that the extract influenced physicochemical properties, color stability, and lipid oxidation, with higher concentrations showing a prooxidant effect.
Rethinking Chromatography Workflows with AI and Machine Learning
April 1st 2025Interest in applying artificial intelligence (AI) and machine learning (ML) to chromatography is greater than ever. In this article, we discuss data-related barriers to accomplishing this goal and how rethinking chromatography data systems can overcome them.
