Gas Chromatography – Multimedia

Poster
Crude Oil And Asphaltene Characterization by Pyrolysis Coupled to Gas Chromatography High Resolution Time-of-flight Mass Spectrometry
Py-GC-HRTOFMS analysis with high resolution and high mass accuracy is crucial for identification of crude oil and asphaltene pyrolysis products by unequivocal chemical formula assignment, with enhancement of sensitivity and selectivity. Analysis of petroleum and respective asphaltene fractions from diverse geographical origins are under evaluation as part of future work.

Poster
GC-MS Comparison of Lavindin Grosso Oil Obtained by Steam Distillation and SFE
Oil was extracted from Lavindin Grosso using steam distillation and using supercritical fluid extraction (SFE). Multiple analyses of the same extract demonstrated repeatability of the analytical method. The variability between batches of distillate bracketed the composition obtained by SFE. The differences among the oils could be attributed more to where the lavender was grown than to the extraction method.

Poster
Isolation, Identification, and Determination of Designer Anabolic Steroids Commonly Found in Dietary Supplements
A general analytical approach in identifying emerging steroid-like compounds is presented, including analysis by GC-MS, LC-MS, and/or HPLC-UV. Isolation of unknown compounds was achieved by high performance liquid chromatography with fraction collection. Isolated compounds were characterized by Nuclear Magnetic Resonance spectroscopy and high resolution accurate mass-mass spectrometry to elucidate their structure.

Poster
Identification and classification of antifouling compounds secreted by anti MIC microorganisms. A metabolomic analysis.
BIOCORIN project, aims to develop a green alternative to the coatings and solutions used up to date for MIC corrosion control. Some of the results of this project are presented here, with the identification of several relevant antifouling compounds secreted by environmentally isolated anti-MIC strains of microorganisms via a metabolomic approach.

Poster
Investigation of Chemical Contaminants in Soils Following Superstorm Sandy
Investigation of Chemical Contaminants in Soils Following Superstorm Sandy

App Note / Case Study
A Complete Forensic Toxicology Screening Procedure for Drugs and Toxic Compounds in Urine and Plasma Using LC-MS/MS
Implementation of liquid chromatography-mass spectrometry (LC-MS) for forensic toxicology screening provides specific and sensitive analysis of drugs and toxic substances.

App Note / Case Study
Performance Evaluation of a Thermal Desorption System for Detection of Basic Drugs in Forensic Samples by GC/MS
Stir bar sorptive extraction (SBSE) is an innovative sample extraction technique that can be used to process blood, urine, and tissue samples for routine drug screening in the forensic toxicology laboratory.

App Note / Case Study
Toxtyper™ – a Comprehensive LC-MSn Screening Solution for Clinical and Forensic Toxicology
In the clinic and the routine lab, fast and unambiguous identification of toxic compounds is the primary task. The screening solution presented here is based on ultrahigh performance liquid chromatography (UHPLC) coupled to an LC-MSn ion trap system.

App Note / Case Study
Automation of Solid Phase Extraction (SPE) Multi-method for GC/MS Analysis of Drugs of Abuse in Human Serum
This application demonstrates the extraordinary flexibility of the GX-271 ASPEC and TRILUTION LH software since the desired SPE products can be eluted in fractionated mode.

Poster
Enhanced method development capabilities with automated SPME extraction optimization
A workflow has been described enabling the automated selection of the most suitable extraction conditions (type of fiber, extraction time and temperature) for the GC/MS analysis of a number of contaminants in oil and water samples.
Applying the automated workflow described above the total time to identify the most suitable fiber and then optimize conditions was 4.5 days. Compared to performing the experiments manually which is estimated at 15 days this represents of time saving of 10 days.
Applying the automated workflow described above the total time to identify the most suitable fiber and then optimize conditions was 4.5 days. Compared to performing the experiments manually which is estimated at 15 days this represents of time saving of 10 days.
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