2003
DOI: 10.1016/s0165-2370(02)00155-9
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Rapid quality checking of polyethylene water/gas-pipelines: a model based on pyrolysis-gas chromatography/mass spectrometry and discriminant analysis

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Cited by 4 publications
(4 citation statements)
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“…Pyrolysis coupled with gas chromatographic separation and mass spectrometry detection (Py-GC/MS) is increasingly being employed in the analysis of complex substances including synthetic polymers [16][17][18]. This hyphenated technique, which allows direct chromatographic separation of the vapours evolved from the flash pyrolysis process, has been reportedly used in applications like identification of polymer additives [19][20][21]; evaluation of thermal stability and quality assurance [22,23]; study of degradation kinetics of polymeric materials [24,25] and evaluation of structural and chemical characteristics [26]. Some studies have also been conducted to study the catalytic effect of different additives, metal impurities and other components (basic zeolites, iron and cupper chlorides, carboxylates, carbon black, etc.)…”
Section: Introductionmentioning
confidence: 99%
“…Pyrolysis coupled with gas chromatographic separation and mass spectrometry detection (Py-GC/MS) is increasingly being employed in the analysis of complex substances including synthetic polymers [16][17][18]. This hyphenated technique, which allows direct chromatographic separation of the vapours evolved from the flash pyrolysis process, has been reportedly used in applications like identification of polymer additives [19][20][21]; evaluation of thermal stability and quality assurance [22,23]; study of degradation kinetics of polymeric materials [24,25] and evaluation of structural and chemical characteristics [26]. Some studies have also been conducted to study the catalytic effect of different additives, metal impurities and other components (basic zeolites, iron and cupper chlorides, carboxylates, carbon black, etc.)…”
Section: Introductionmentioning
confidence: 99%
“…In each chromatogram, ␣-,-dienes, ␣-alkenes, and alkanes from 9 to 33 carbon atoms in the backbone were quantified and subjected to discriminant analysis using the software Statistica (Release 5.1) [15] according to the statistical method described in a previous work [14]. Briefly, the statistical method allowed the discrimination of PE samples in three main groups A, B and C where A represents pipes made of good quality PE and C those made of the worst material.…”
Section: Non-volatile Organic Fractionmentioning
confidence: 99%
“…The results obtained by discriminant analysis, according to the previously set-up method [14] are shown in Fig. 2. 3.1.2.…”
Section: Non-volatile Organic Fractionmentioning
confidence: 99%
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