The Mass Spectrometry society of Japan - The 68th Annual Conference on Mass Spectrometry, Japan

Abstract

Poster Presentations

Day 1, June 22(Wed.)  Room P (501, 502 and 503)

Data mining of trace components in polyolefins by a combination of PyGC-high resolution TOFMS and KMD analysis

(AIST)
oSayaka Nakamura, Ryota Watanabe, Shogo Yamane, Aki Sugahara, Hideaki Hagihara, Hiroaki Sato

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.