Two Dimensional Liquid Chromatography: A Powerful Tool for The Characterization of Humic Substances
Analysis of natural compounds is becoming increasingly important. One thriving area is the evaluation and application of environmental biopolymers, such as humic substances (HSs) in various applications, including medicine, industry, agriculture and environmental protection.
Analysis of natural compounds is becoming increasingly important. One thriving area is the evaluation and application of environmental biopolymers, such as humic substances (HSs) in various applications, including medicine, industry, agriculture and environmental protection. Such work is aided by ancient knowledge on the biological activity of HSs and their interactions with other living organisms. HSs — along with cellulose and chitin — are some of the most common types of organic matter on Earth.
Analysis of Pesticides in Foods Using GC–MS/MS: An Interview with José Fernando Huertas-Pérez
December 16th 2024In this LCGC International interview with José Fernando Huertas-Pérez who is a specialist in chemical contaminants analytics and mitigation at the Nestlé Institute for Food Safety and Analytical Sciences at Nestlé Research in Switzerland, In this interview we discuss his recent research work published in Food Chemistry on the subject of a method for quantifying multi-residue pesticides in food matrices using gas chromatography–tandem mass spectrometry (GC–MS/MS) (1).
The Use of SPME and GC×GC in Food Analysis: An Interview with Giorgia Purcaro
December 16th 2024LCGC International sat down with Giorgia Purcaro of the University of Liege to discuss the impact that solid-phase microextraction (SPME) and comprehensive multidimensional gas chromatography (GC×GC) is having on food analysis.
Next Generation Peak Fitting for Separations
December 11th 2024Separation scientists frequently encounter critical pairs that are difficult to separate in a complex mixture. To save time and expensive solvents, an effective alternative to conventional screening protocols or mathematical peak width reduction is called iterative curve fitting.
