121st General Meeting of the KCS

Type Poster Presentation
Area Analytical Chemistry
Room No. Event Hall
Time 4월 19일 (목요일) 11:00~12:30
Code ANAL.P-236
Subject Statistical Analysis Software for Building 3D Statistical Models and Classification of Edible Oils using MATLAB
Authors Minhee Son, Han Bin Oh*
Department of Chemistry, Sogang University, Korea
Abstract In this study, we made a software that designed to be able to project and classify unknown edible oil mass spectra on 3D PCA / PLS-DA model by importing mass analysis data of unknown edible oil by using different amount and composition of lipids such diacylglycerols (DAGs) and triacylglycerols (TAGs) according to kinds of edible oil. For the statistical analysis model, 9 kinds of edible oil were used, such as sesame, perilla, olive, canola, grape-seed, sunflower-seed, corn, soybean, coconut oils, and the equipment was Tinkerbell MALDI-TOF (Asta, Korea). Load mass data of unknown sample in this software, it can be projected and classified on 3D model built through PCA / PLSDA. We have also developed software that allows software applications to be applied to materials other than edible oils or other materials that are used in addition to data generated by Asta.
E-mail mh122192@gmail.com