Published May 2018
| Version v1
Journal article
Authentication of two samples of ancient Chinese coins with component element depth analysis by confocal 3D XRF
Creators
- 1. College of Nuclear Science and Technology, Beijing Normal University, Beijing, 100875 (China)
Description
Highlights: • Identification of ancient Chinese iron coins nondestructive by 3D XRF. • Double Peaks Gaussian curve reveals the existence of corrosion layer. • To help archaeologists familiarize 3D XRF and broaden their research tools. Two samples of ancient Chinese coins were analyzed with a confocal three-dimensional micro-X-ray fluoroscope. The depth distributions of elemental iron (Fe), calcium (Ca) and copper (Cu) were obtained based on this non-destructive measurement method. One coin, named "Chongning Tongbao", was certified as genuine in accordance with the available archaeological data, whereas another coin, named "Zhenglong Yuanbao", was identified as a reproduction.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.nimb.2018.03.007Additional details
Identifiers
- DOI
- 10.1016/j.nimb.2018.03.007;
- PII
- S0168583X1830171X;
Publishing Information
- Journal Title
- Nuclear Instruments and Methods in Physics Research. Section B, Beam Interactions with Materials and Atoms
- Journal Volume
- 423
- Journal Page Range
- p. 37-41
- ISSN
- 0168-583X
- CODEN
- NIMBEU
INIS
- Country of Publication
- Netherlands
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 52118982
- Subject category
- S75: CONDENSED MATTER PHYSICS, SUPERCONDUCTIVITY AND SUPERFLUIDITY;
- Descriptors DEI
- CALCIUM; CHINA; COPPER; CORROSION; DEPTH; IRON; NONDESTRUCTIVE ANALYSIS; SPATIAL DISTRIBUTION; THREE-DIMENSIONAL LATTICES; X RADIATION
- Descriptors DEC
- ALKALINE EARTH METALS; ASIA; CHEMICAL ANALYSIS; CHEMICAL REACTIONS; CRYSTAL LATTICES; CRYSTAL STRUCTURE; DIMENSIONS; DISTRIBUTION; ELECTROMAGNETIC RADIATION; ELEMENTS; IONIZING RADIATIONS; METALS; RADIATIONS; TRANSITION ELEMENTS
Optional Information
- Copyright
- Copyright (c) 2018 Elsevier B.V. All rights reserved.