« Back
Packaging Analysis by Extraction Cell Thermal Desorption GC/MS
Poster Title: Packaging Analysis by Extraction Cell Thermal Desorption GC/MS
Submitted on 31 Mar 2017
Author(s): Ronald E Shomo, II, Christopher Baker, John J. Manura
Affiliations: Scientific Instrument Services
This poster was presented at Pittcon 2017
Poster Views: 635
View poster »

Poster Information
Abstract: TD/GC/MS utilizing the extraction cell to collect the volatile and semivolatile components from packaging materials is a quick way to identify contaminates in food packaging without the use of solvents. Each sample has its own unique transfer line (desorption needle) and this eliminates the problem of carry over or cross contamination that is frequently present in other TD/GC/MS instruments.
This study was able to identify an organophosphate herbicide in a health power bar wrapper. The most likely origin of the herbicide was the wrapper being directly exposed to the herbicide of a contaminated feed stock or as a result of using recycled material.
Summary: This study utilizes the advantages of Thermal Desorption GC/MS to identify components found in food packaging that potentially could migrate over to the food product. Samples are collected utilizing an extraction cell. Thermal Desorption GC/MS provides for a fast analysis with no carryover problems that can be associated with other GC/MS techniques.
Report abuse »
Ask the author a question about this poster.
Ask a Question »

Creative Commons

Related Posters

Identification using Forensic Odontology
Vyom Rathi

Helana Lutfi and Shaban Nuredini

Applying Trapped Ion Mobility Separation (TIMS) in combination with Parallel Accumulation Serial Fragmentation (PASEF) for analysis of lipidomics samples
Sebastian Götz1, Sven W Meyer1,Ulrike Schweiger-Hufnagel1,Aiko Barsch1, Ningombam Sanjib Meitei2

Multiplex miRNA Profiling for Biomarker Discovery and Verification Studies Using the FirePlex® Platform
M. Tackett, B. Heinrich, I. Diwan, G. Tejada, C. Rafferty, E. Atabakhsh, and D. Pregibon

PEAKS™ Software for the processing of timsTOF Pro PASEF data: identification and label-free quantitation
Markus Lubeck(1), Heiner Koch(1), Scarlet Beck(1), Paul Savage(2), Oliver Raether(1), Pierre-Olivier Schmit(2) Paul Shan (3) and Gary Kruppa (4)