[17p-D221-1~13] 9.2 Nanoparticles, Nanowires and Nanosheets

▼ [17p-D221-7] In-situ Compositional Identification of Mixed Aliphatic Molecules Adsorbed on Nanostructured Metal Oxide Surfaces via Machine Learning of Infrared Spectra

〇(M2)WENJIN LEI¹, Chaiyanut Jirayupat¹, Guozhu Zhang¹, Takuro Hosomi^1,2, Jiangyang Liu¹, Yu Yamaguchi¹, Wataru Tanaka¹, Tsunaki Takahashi^1,2, Kazuki Nagashima^1,2, Takeshi Yanagida^1,3 (1.Univ. Tokyo, 2.JST PRESTO, 3.Kyushu Univ.)

Keywords:IR, VOC, Machine Learning

Understanding in-situ molecules’ information on metal oxide (MOx) nanostructure surfaces are essential but challenging. We proposed a new identification method for in-situ compositions of mixed similar aliphatic molecules on nanostructured MOx surfaces by analyzing infrared (IR) spectra via machine learning. This method successfully identified the composition of mixed aliphatic carboxylic acids and amines with different carbon numbers.