Volume 13 Issue 6
Dec.  2020
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LI Chen-yu, QU Liang, GAO Fei, DUAN Hong-ying, GUAN Ming, LIU Han-wen, ZOU Fei-chi. Composition analysis of the surface and depth distribution of metal and ceramic cultural relics by laser-induced breakdown spectroscopy[J]. Chinese Optics, 2020, 13(6): 1239-1248. doi: 10.37188/CO.2020-0112
Citation: LI Chen-yu, QU Liang, GAO Fei, DUAN Hong-ying, GUAN Ming, LIU Han-wen, ZOU Fei-chi. Composition analysis of the surface and depth distribution of metal and ceramic cultural relics by laser-induced breakdown spectroscopy[J]. Chinese Optics, 2020, 13(6): 1239-1248. doi: 10.37188/CO.2020-0112

Composition analysis of the surface and depth distribution of metal and ceramic cultural relics by laser-induced breakdown spectroscopy

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  • Corresponding author: lionat528@hotmail.com
  • Received Date: 30 Jun 2020
  • Rev Recd Date: 27 Jul 2020
  • Available Online: 18 Mar 2021
  • Publish Date: 01 Dec 2020
  • Composition analysis of the surface and depth distribution of bronze artifacts excavated from the Chu Tomb in Guozhuang Shangcai, Henan Province and ceramic tiles of Lingzhaoxuan from the Palace Museum are carried out by laser-induced breakdown spectroscopy and laser scanning confocal microscopy. Studies have shown that the elemental distribution of the corroded layer on the surface of bronze is uneven. This corrosion might originate from the surrounding soil environment and surrounding artifacts or ion migration from the artifacts’ insides to their outsides. Luckily, the composition of bronze is relatively simple. The corrosion mechanism of the corroded layer can be understood by analyzing the depth distribution of the composition in bronze, thereby providing a scientific method for its protection. The elemental distribution of ceramic is homogeneous in transparent and colored glaze. Colored glaze includes Boron (B), which could effectively reduce its melting temperature range and surface tension, but there is no boron (B) in transparent glaze. Furthermore, confocal microscope tests of the depth of erosion combined with its spectra can be used to estimate the approximate thickness of different glaze layers.

     

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