Fast identification of mural pigments at Mogao Grottoes using a LIBS-based spectral matching algorithm

Author:

ZHANG Yiming,SUN Duixiong,YIN Yaopeng,YU Zongren,SU Bomin,DONG Chenzhong,SU Maogen

Abstract

Abstract To quickly identify the mineral pigments in the Dunhuang murals, a spectral matching algorithm (SMA) based on four methods was combined with laser-induced breakdown spectroscopy (LIBS) for the first time. The optimal range of LIBS spectrum for mineral pigments was determined using the similarity value between two different types of samples of the same pigment. A mineral pigment LIBS database was established by comparing the spectral similarities of tablets and simulated samples, and this database was successfully used to identify unknown pigments on tablet, simulated, and real mural debris samples. The results show that the SMA method coupled with the LIBS technique has great potential for identifying mineral pigments.

Funder

2020 Industry Support Plan Project in University of Gansu Province

National Natural Science Foundation of China

National Key Research and Development Program of China

Funds for Innovative Fundamental Research Group Project of Gansu Province

Young Teachers Scientific Research Ability Promotion Plan of Northwest Normal University Province

Publisher

IOP Publishing

Subject

Condensed Matter Physics

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