Volatile Analysis makes strong moves into Odor Analysis and the use of comprehensive two-dimensional gas chromatography (GCxGC).


Off-Odor Detection Utilizing Gas Chromatography- Mass Spectrometry/Olfactometry
(GC-MS/O)

Muddy/earthy odor from plastic bottles used for packaging medicine or in wine bottle corks, stinky sulfurous smell in hand lotion, oxidized- burnt hair aroma in dairy: off-odors destroy consumer confidence and present challenging problems for the food/ beverage/ cosmetics/packaging industries. Odors frequently are intermittent, are perceived differently by individuals (various descriptors), and are difficult to reproduce. Sources may be one or many trace level (parts per million, µg/mL), or ultra-trace level (parts per billion, ng/mL, or lower) aroma active chemicals introduced during manufacturing, shipment, or storage. To add to the complexity of the problem, often it is unclear whether off-odors originate from packaging or product. Click here to read more.

 

Utilizing GCxGC for Advanced Analytical Analysis of Volatile and Semi-Volatile Organic Compounds

Volatile and semi-volatile organic compounds are some of the most widely studied samples. Traditional analytical methods rely on single dimension gas chromatography (GC) coupled to selective detectors or mass selective detectors (MS). More recently, the use of comprehensive two-dimensional gas chromatography (GCxGC) as an advanced analytical tool has gained significant popularity for complex sample analysis, target species in a heavy matrix, screening of difficult samples and quantification of compounds below traditionally reported L.O.D's. Recent advances to GCxGC instrumentation have made this technique more robust to routine analysis, screening of complex samples and the simultaneous quantitative detection of compounds found within. This paper will introduce GCxGC and explore the opportunities that make it a viable analytical tool for advanced analysis of food and flavors, metabolomics, petroleum, forensic and environmental samples. Click here to read more.

 

 

 

 

 

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