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-306
Subject Component Ratio Analysis of Mixed Oil Paints Using Resonance Raman Scattering
Authors Chang Hyun Bae, Si Won Song, Chan Ryang Park1,*, Hyung Min Kim*
Department of Bionano Chemistry, Kookmin University, Korea
1Department of Chemistry, Kookmin University, Korea
Abstract Raman spectroscopy is a non-destructive and effective spectroscopic tool when investigating chemical components of materials. Raman spectroscopy has various advantages as well as non-destructive analysis. It measures the chemical composition, structure, and binding of a sample by measuring the molecular vibration mode of scattered light by a laser. This property provides a sensitive measure for artistic and cultural characterization because Raman spectroscopy has practically historical value and is not damaged in samples that provide chemical fingerprints to sample identification. In addition, Raman spectroscopy has advantages such as portability and field monitoring .However, the radioactive fluorescence of the paints interrupt to measure Raman signals. To avoid this problem, we use various lasers to check the paints. Resonance Raman scattering (RSR) can be used to avoid fluorescence, the relevant region of the electron state, and to take on an improved Raman signal. Resonance Raman measurements were performed using a microscope (Olympus Bx73) coupled to a spectrometer (Andor Shamrock 303i) with a charge coupled device (Andor iDus 420). The lasers used was 488 nm Ar-ion, 532 nm diode and 632.8 nm He-Ne laser. In this study, the oil paints (ShinHanart) of different colors are mixed in a mass ratio and then received Raman signals by various lasers. Through the obtained signals, the correlation is found according to the ratio of each color. Using this correlation can be seen that the ratio of unknown paint. In conclusion, we analyzed the paint to help create a database to help identify chemicals by using resonance Raman methodology. And, it will help in the preservation and restoration of old paintings.
E-mail anjsidlrh@kookmin.ac.kr