日本質量分析学会 第70回質量分析総合討論会会

演題概要

ポスター発表

第1日 6月22日(水)  P会場(501,502,503)

PyGC-高分解能TOFMSとKMD解析を組み合わせたポリオレフィン中に含まれる微量成分のデータマイニング

(産総研)
o中村清香渡邉亮太山根祥吾管原明希萩原英昭佐藤浩昭

A combination of PyGC-high resolution TOFMS and Kendrick mass defect (KMD) analysis was applied for an efficient data mining of targeted trace components among numerous polyolefin pyrolysates in PyGC-TOFMS analysis. KMD plot efficiently highlighted oxidative antioxidants containing in a PET bottle cap made of polyethylene. Remainder of Kendrick mass (RKM) plot was applied to comprehensively detect oxidative products of polypropylene. Based on the intensities of extracted peaks, the degree of oxidation was able to be assessed with high sensitivity.