2005
DOI: 10.3183/npprj-2005-20-03-p277-282
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Z-profile of styrene acrylate and urea formaldehyde resin in foils, measured by Py-GC/MS (analytical pyrolysis – gas chromatography/mass spectrometry)

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Cited by 5 publications
(5 citation statements)
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“…The given Py-GC/MS conditions had been chosen, as they had been applied as standard parameters, Odermatt et al [27,28]. For many samples types, 500 8C is a good compromise between sufficient thermal degradation and not too intense break down of pyrolysis products.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…The given Py-GC/MS conditions had been chosen, as they had been applied as standard parameters, Odermatt et al [27,28]. For many samples types, 500 8C is a good compromise between sufficient thermal degradation and not too intense break down of pyrolysis products.…”
Section: Resultsmentioning
confidence: 99%
“…It is possible to quantify references using Py-GC/MS technique, demonstrated by Odermatt et al [27,28]. But it takes such a huge effort to find suitable mass fragments for a reliable quantification.…”
Section: Database Set-upmentioning
confidence: 99%
“…As mentioned above, Curie point Py-GC/MS was used to study doped PTh polymers (111)(112)(113). Odermatt et al used Py-GC/ MS to quantify paper additives from three polymeric materials: a styrene acrylate copolymerizate latex, a urea formaldehyde resin, and a poly(vinyl acetate) (117). Because of the separation achieved by GC, they were able to increase the sensitivity of the analysis by using single ion monitoring and quantify several additives in a single Py-GC/MS run.…”
Section: Pyrolysis Mass Spectrometrymentioning
confidence: 99%
“…In pyrolysis, stickies are decomposed into individual compounds and are then identi ed and quanti ed. Py-GC/MS has been used by many authors (Holmbom, 1997;Lenes et al, 2001;Odermatt et al, 2005Odermatt et al, , 2007Öqvist et al, 2005;Sjoestroem et al, 1987). In addition, Sjöström et al used HPLC for separating stickies from other substances with a Size Exclusion Column (SEC), where substances are separated based on molecular size (Sjoestroem et al, 1987).…”
Section: Introductionmentioning
confidence: 99%