JOURNAL ARTICLE

Micro‐Raman study of black and red decorations of Neolithic Yangshao potteries excavated from Taiyuan city, Shanxi province, China (c. 3000 BCE).

  • Published In: Journal of Raman Spectroscopy, 2024, v. 55, n. 12. P. 1333 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: WANG, YING; Yang, Yuanqing; Hou, Liangliang; Guo, Rui; Wang, Fen; Zhu, Jianfeng; Pei, Jingrong; Luo, Hongjie; Wang, Tian 3 of 3

Abstract

Yangshao culture, as the most important Neolithic culture in China, is famous for its finely decorated pottery. In this work, Yangshao potteries excavated in Shanxi province, one of the core distribution areas, were studied by micro‐Raman spectroscopy combined with optical microscopy, X‐ray fluorescence, and scanning electron microscopy equipped with energy‐dispersive X‐ray spectroscopy. The color of the red decor is derived from hematite and maghemite. The black decorations on the surface are more complex, which could be divided into two types according to the Mn/Fe ratios and crystalline types: (1) low MnO2/Fe2O3 ratio and jacobsite and magnetite and (2) high MnO2/Fe2O3 ratio and hausmannite. The former color is obviously brighter than the latter. This study also demonstrates the potential of micro‐Raman microscopy in analyzing the nature of colorant crystals in Yangshao painted potteries and, therefore, better deciphering the technical details involved in the potteries of Yangshao culture. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Raman Spectroscopy. 2024/12, Vol. 55, Issue 12, p1333
  • Document Type:Article
  • Subject Area:Visual Arts
  • Publication Date:2024
  • ISSN:0377-0486
  • DOI:10.1002/jrs.6714
  • Accession Number:181778467
  • Copyright Statement:Copyright of Journal of Raman Spectroscopy is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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