Abstract

Poster Presentations

Day 1: Wednesday, May 18  Poster Room(Ume)

Comparison of Pyrolysis behavior between Block and Random Copolymer with EGA-GC/APGC-QTof MS and multivariate data analysis

(Nihon Waters)
oTatsuya Ezaki, Nobutake Sato

Evolved gas analysis (EGA) gas chromatography mass spectrometry (EGA-GC/MS) can be used the polymer characterization. The polymer sample is pyrolyzed at a temperature determined by EGA data and EGA-GC/MS data facilitates the identification of the polymeric composition of the sample. On polymer pyrolysis behavior analysis, GC/Electron Ionization (EI)-Quadrupole-MS has been often used. On copolymer pyrolysis with EGA-GC/EI-MS, total ion chromatogram (TIC) is extremely complex, for various pyrolyzed materials are formed on pyrolysis process and fragment ions are produced on ionization. TIC can be improved simple with APGC ionization developed as high sensitivity and soft ionization to observe molecular ion without fragmentation. On multivariate analysis of APGC MS data, it is drastically reduced when carry out peak deconvolution. QTof MS combined with APGC ionization source can be obtained MS and MS/MS spectrum of each peak at same time, elemental composition needed on chemical structural elucidation is achieved from exact mass of molecular and fragment ion on their spectrum. On this time, pyrolysis behavior between acrylic acid -styrene block and random copolymer is compared with EGA-GC/APGC-QTof MS and all markers on each copolymer can be extracted by multivariate data analysis.