Table of contents
Oral Sessions (Day1, Day2, Day3)
Poster Presentations (Day1, Day2, Day3)
Poster Presentations
- Day 1, June 22(Wed.) Room P (501, 502 and 503)
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1P-23 PDF
Data mining of trace components in polyolefins by a combination of PyGC-high resolution TOFMS and KMD analysis
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.