Determination of Trichloroanisole and Tribromoanisole using SPME Coupled to Comprehensive GCxGC and Mass Selective Detection (HS-SPME-GCxGC-NCI-qMS)

In 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).

LCGC 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.

In this LCGC International interview with Philip J. Marriott and Michelle S. S. Amaral from the Australian Centre for Research on Separation Science, School of Chemistry, Monash University, in Clayton, Victoria, Australia, we discuss their recent review published in Analytical Chemistry on the subject of analysis of food contaminants using multidimensional gas chromatography (1).

In this LCGC International interview with Beatrice Campanella from the Institute of Chemistry of Organometallic Compounds (ICCOM) in Pisa, Italy, which is part of the Italian National Research Council (CNR), we discuss her recent research work published in Food Chemistry on the subject of a method for quantifying methionine and selenomethionine in food matrices using gas chromatography–mass spectrometry (GC–MS) with aqueous derivatization by triethyloxonium salts (1).

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

Separation 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.