|Fragmentation Trees for Automated de novo Interpretation of Impure Electron Ionization Spectra from Gas Chromatographic Complex Mixture Analysis—Chemical Deconvolution|
Kevin Siek, Vasily Makarov, Viatcheslav Artaev, Dmitry Mazur, Albert T. Lebedev
-Chemical deconvolution algorithms accurately reported independent
components of dead coelutions where such components belong to distinct chemical classes.
-Present algorithms fail to distinguish chemically similar analytes such as branched and linear alkanes, thus chemical deconvolution is not a
substitute for GCxGC.
-Chemical deconvolution algorithms accurately rejected more than 80% of spurious signals from manually curated spectra found to be contaminated with unrelated signa
|Effective Comparison of Yeast Extracts Using High Resolution GC and GCxGC-HRTOFMS|
David E. Alonso and Joe Binkley
The Pegasus GC-HRT and GC-HRT 4D instruments are effective tools for the comprehensive analysis of yeast extracts.
• Enhanced chromatographic resolution of the HRT 4D system facilitated compound characterization by improving spectral similarity scores
• High quality data resulted in excellent spectral similarity scores when compared to large, well-established databases (NIST, Wiley)
• High resolution, accurate mass data was crucial for determination of fragment, molecular, and adduct
|Performance Characteristics of a Comprehensive Two=Dimensional Gas Chromatography-High Resolution Time-of=Flight Mass Spectrometry System (GCxGC=HRTOFMS) Utilizing Chemical Ionization|
Jonelle Shiel, Mark Merrick, Scott Pugh, Matthew Soyk, and Viatcheslav Artaev
Combining comprehensive two-dimensional gas chromatography (GC×GC) with a High Resolution Time-of-Flight Mass Spectrometer and Chemical Ionization is a powerful tool for compound identification. Performance of the LECO Pegasus GC-HRT 4D using Chemical Ionization (CI) was demonstrated using Benzophenone and Diesel. GC×GC separation results in narrow peaks, therefore, a high speed detection system is necessary.
|Non-Target Analysis of Electronic Waste Samples from China|
Jonathan D. Byer, Ed Sverko, Kurunthachalam Kannan, Qian Wu, Joe Binkley
GC×GC-HRT is a powerful tool for the comprehensive analysis and
chemical characterization of analytes in complex matrices. The combination of high resolution front-end separation with high
resolution time-of-flight mass spectrometry made possible the
identification of compounds previously unknown in these samples.
|Spice Wars- Are You Battle Ready? Analysis of Synthetic Cannabinoids via Gas Chromatography—High Resolution Time-of-Flight Mass Spectrometry|
David E. Alonso, John Rorabeck, and Joe Binkley
-EI/CI workflow facilitates confident compound identification.
-GC-HRT and HR-CI source provides high quality, accurate mass data for:
-Database searches (NIST, Wiley, etc.)
-Formula determination (fragment, molecular, and adduct ions)
|A proteomic analysis of p27kip1-binding proteins reveals a putative role in transcription regulation through RNA polymerase II interaction|
Juan Triviño Paredes1, Atilla Biçer1, Arnauld Besson2, Edurne Gallastegui1, Josep Maria Estanyol3, Maria Jesus Pujol1 and Oriol Bachs1
A proteomic analysis of p27kip1-binding proteins reveals a putative role in transcription regulation through RNA polymerase II interaction
|Quantitative Analysis Of Pesticides In Quechers Extracts Using UPLC- and APGC- MS/MS |
Sara Stead, Simon Hird, Eimear McCall
In this study, we demonstrate sensitive, accurate and repeatable results for the analysis of pesticides in QuEChERS extracts of a selection of
commodities below the regulatory limits.
|TGA/IST16/GC/MS coupling : an advanced technique for LLDPE structure interpretation|
Tiffany Marre1 ; Axel Bart1 ; Alain Delauzun1 ; Xavier Cardot1 ; Ronan Cozic1 ; Olivier Boyron2 ; Christophe Boisson2
An innovative TGA/IST16/GC/MS coupling is presented.
|DETERMINATION OF THE QUALITY OF ACTIVE INGREDIENTS IN PAIN KILLERS USING GC-MS|
Elizabeth N.M Murago1, Nathan Oyaro1, Anthony N. Gachanja, Onditi O. Anam, Felix M. Mawili, Steve Lancaster
From this study, the pain killers sampled were found to have large error bars suggesting that there exist counterfeit drugs in the market. The brands mostly affected for analysis of acetaminophen were panadol, action, P500, P5500, elymol and neladol. The error bars for caffeine analysis were quite low indicating that all tablets either counterfeit or original maintained the same amount of this active ingredient.