PXRF correction for jade lithology identification from Sanxingdui and Lianhe sites in the Chengdu plain

Abstract Portable X-ray fluorescence spectrometry (pXRF) holds significant value in archaeological studies of cultural relics. However, previous studies indicate that non-destructive elemental analysis of jade and stone artifacts using pXRF may produce certain deviations. To address this issue, jade and stone artifacts unearthed from the Sanxingdui and Lianhe sites were analyzed through a combination of techniques, including macroscopic examination, thin-section microscopy, Raman spectroscopy, WD-XRF, pXRF, scanning electron microscopy, and energy-dispersive spectroscopy. This study systematically investigates the primary causes of deviations in pXRF elemental analysis and proposes corresponding correction approaches. The results demonstrate that systematic instrumental error is the main factor affecting the accuracy of pXRF data. After correction, the data can effectively support the lithological identification of these artifacts. Furthermore, the established correction equation provides an important reference for the pXRF analysis of jade and stone artifacts from other sites in the Chengdu Plain with similar chronological, burial, and post-depositional conditions.

Authors

Institutions

Publication Details

Journal
npj Heritage Science
Published
2025-11-24
DOI
https://doi.org/10.1038/s40494-025-02185-w
Citations
1
Primary Topic
Cultural Heritage Materials Analysis
Type
article
Field-Weighted Citation Impact
8.27

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

PXRF correction for jade lithology identification from Sanxingdui and Lianhe sites in the Chengdu plain

Honglin Ran, Hengxu Huang, Zhonghua Xin, Xiang Fang et al.
1 citations
npj Heritage Science
Cultural Heritage Materials Analysis
8.27
article

PXRF correction for jade lithology identification from Sanxingdui and Lianhe sites in the Chengdu plain

Honglin Ran, Hengxu Huang, Zhonghua Xin, Xiang Fang, Gang Zhou, Qian Xiao, Qian Wu
article en
1 citations

Abstract

Abstract Portable X-ray fluorescence spectrometry (pXRF) holds significant value in archaeological studies of cultural relics. However, previous studies indicate that non-destructive elemental analysis of jade and stone artifacts using pXRF may produce certain deviations. To address this issue, jade and stone artifacts unearthed from the Sanxingdui and Lianhe sites were analyzed through a combination of techniques, including macroscopic examination, thin-section microscopy, Raman spectroscopy, WD-XRF, pXRF, scanning electron microscopy, and energy-dispersive spectroscopy. This study systematically investigates the primary causes of deviations in pXRF elemental analysis and proposes corresponding correction approaches. The results demonstrate that systematic instrumental error is the main factor affecting the accuracy of pXRF data. After correction, the data can effectively support the lithological identification of these artifacts. Furthermore, the established correction equation provides an important reference for the pXRF analysis of jade and stone artifacts from other sites in the Chengdu Plain with similar chronological, burial, and post-depositional conditions.

npj Heritage ScienceVol. 13(1)
Chengdu University of Information Technology (CN), Chengdu University of Technology (CN), Yunnan Archaeology (CN)
Chengdu University of Technology, State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Chengdu University, National Social Science Fund of China
Openalex Percentile: Top 3%
Cultural Heritage Materials Analysis
8.27
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.