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Oral Sessions
Day 2, June 23（Mon.） 11:40-11:55
Room A (Maesato West)
- 2A-O1-1140
Detection of Different Additives from Evolved Gas Analysis-Mass Spectrometry Data Using Two-dimensional Correlation Spectroscopy
(AIST)
oShogo Yamane, Yasumasa Suzuki, Hideyuki Shinzawa
A commonly used method for analyzing additives in resin materials is to extract the additives by immersing crushed resin in a solvent and quantifying the solution by liquid chromatography-mass spectrometry. Although this method is widely used and reliable, it requires time-consuming procedures such as crushing the sample and extracting it with a solvent.
Such pretreatment can be reduced by analysis using a gas chromatograph-mass spectrometer connected to a heating furnace, and the heart-cut method is a method for analyzing low-molecular-weight additives in polymer materials. This method makes it possible to separate and analyze low-molecular-weight additives by columns, but since premeasurements such as evolved gas analysis-mass spectrometry (EGA-MS) and thermogravimetric analysis are performed to determine appropriate heating conditions, and gas chromatography-mass spectrometry measurements are performed after the conditions are determined, the analysis takes a relatively long time. Here we aimed to develop a technology to detect multiple low molecular weight additives from the EGA-MS data and investigated applying two-dimensional correlation analysis which is often used in spectroscopic analysis.