March 28th 2025
Here is some of the most popular content posted on LCGC International this week.
Flying High with Sensitivity and Selectivity:- GC–MS to GC–MS/MS
February 1st 2021Mass spectrometry (MS) is the most powerful detector available for gas chromatography (GC). This article reviews the fundamentals of MS/MS and how they relate to MS as a detector for GC, then examines scenarios where use of GC–MS/MS can solve complex problems.
Detecting Biomarkers in Breath using GC–MS
July 7th 2020Biomarker studies using exhaled breath are rapidly emerging as a technique for early disease detection and precision medicine. By offering a completely non-invasive experience for patients as an alternative to painful biopsy procedures. A new approach has the potential to enhance patient compliance, while making clinical workflows simpler. Exhaled breath analysis, however, requires a highly sensitive analytical technique capable of accurately measuring the broad range of volatiles present in breath. In this article, we present a proof-of-concept study to demonstrate a reliable and sensitive method to detect analytes in breath samples. Using high‑resolution accurate mass (HRAM) mass spectrometry (MS), the method validates how low- and high-abundance biomarkers can be quantified from exhaled breath.
Beat the Heat: Cold Injections in Gas Chromatography
July 1st 2020In gas chromatography, heating the sample in the inlet can lead to sample losses and loss of quantitative reproducibility, but these problems can be avoided using cold sample introduction. This article describes various types of cold injection and how they can benefit the analyst.
Achieving Highly Sensitive Dioxin Analysis with Novel GC–MS Methods
January 20th 2020PCDDs, PCDFs, and PCBs are toxic compounds categorized as POPs and are ubiquitous throughout the world. Detecting trace levels of PCDD and PCDF is important to monitor food supplies and to ensure industrial emissions meet regulatory standards. In line with the ongoing innovation in dioxin analysis technology, the US EPA is currently evaluating a new method-APGC–MS/MS-for PCDD and PCDF confirmatory analysis. Joe Romano and Douglas Stevens from Waters Corporation discuss the benefits of this new method.
Diagnosing Cancer Using Cerumen and HSGC–MS
November 6th 2019The Column spoke to Nelson Roberto Antoniosi Filho, a professor at the Chemistry Institute of the Federal University of Goiás (UFG), in Goiânia, Brazil, about his development of a gas chromatography–mass spectrometry (GC–MS) method for cancer diagnosis using cerumen.
The chemical analysis of organic compounds in environmental samples is often targeted on predetermined analytes. A major shortcoming of this approach is that it invariably excludes a vast number of compounds of unknown relevance. Nontargeted chemical fingerprinting analysis addresses this problem by including all compounds that generate a relevant signal from a specific analytical platform and so more information about the samples can be obtained. A DHS−TD−GC−MS method for the fingerprinting analysis of mobile VOCs in soil is described and tested in this article. The analysis parameters, sorbent tube, purge volume, trapping temperature, drying of sorbent tube, and oven temperature were optimized through qualitative and semiquantitative analysis. The DHS−TD–GC−MS fingerprints of soil samples from three sites with spruce, oak, or beech were investigated by pixel-based analysis, a nontargeted data analysis method.
A Novel Snapshot of Wine Analysis Using Automated Gas Chromatography–Mass Spectrometry
February 12th 2018The Column spoke to Ricardo Lopez from the University of Zaragoza, in Spain, about his work characterizing the composition of the vapours from wine during consumption using an automated gas chromatography–mass spectrometry (GC–MS) technique.
Sampling Volatiles From Fragranced Consumer Products Using High-Capacity Sorptive Extraction
January 16th 2018This study describes the analysis of fragranced washing detergent and washing powder using probe-based headspace and immersive sorptive extraction, in conjunction with analysis by thermal desorption–gas chromatography–mass spectrometry (TD–GC–MS). As well as discussing the differences between the two samples, the analyte ranges covered by headspace and immersive sampling are compared.
Analyzing Chemical Secretions in Lizards Using GC–MS/MS
November 1st 2017The chemical messages that animals use to communicate can trigger a range of responses in members of the same species. The Column spoke to Jorge Saiz from the Centre of Metabolomics and Bioanalysis (CEMBIO) at the University San Pablo CEU, Spain, about his research into the chemical secretions of lizards and the role of gas chromatography–tandem mass spectrometry (GC–MS/MS) in his work.
Novel Sample Preparation and GC–MS/MS Analysis of Triclosan and Methyl Triclosan in Biosolids
October 1st 2017The antimicrobial triclosan is present in myriad personal care products, many of which are disposed of down household drains and travel to wastewater treatment plants. This article describes a simple and rapid method for the preparation and extraction of triclosan and methyl triclosan from the complex matrix of biosolids and paper mulch samples followed by analysis using GC–MS/MS.
Analysis of Terpenes in Cannabis Using Headspace Solid-Phase Microextraction and GC–MS
May 1st 2017As the legalization of medicinal cannabis continues to sweep across the United States, an urgent need has developed for fast, accurate and efficient analytical testing. In addition to testing for contaminants and potency, there is also interest in the determination of terpene identity and concentration levels present in different strains of cannabis. Terpenes have been shown to have therapeutic uses for treatment of different medical conditions ranging from cancer and inflammation, to anxiety and sleeplessness. It is believed that the combination of terpenes and cannabinoids in cannabis produce a synergistic effect with regards to medical benefits. The traditional testing method for terpenes in plant materials involves a solvent-based extraction followed by GC analysis. In this work, headspace solid phase microextraction (HS-SPME) was used to identify and quantify terpene content in cannabis. The HS-SPME method provided several advantages over solvent extraction in that it provided a cleaner analysis, free of interferences from co-extracted matrix, and was non-destructive to the sample. A cannabis sample of unknown origin was first analyzed qualitatively by HS-SPME and GC-MS. Spectral library matching and retention indices were used to identify 42 different terpenes. Quantitative analysis was then performed for several selected terpenes using spiked samples. Method accuracy was >90%, with reproducibility of