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| An Exploration of Geographic Determination of Serpentine Jade by
Raman Spectroscopy Combined With Principal Component
Analysis and Linear Discriminant Analysis |
| YE Xu1, 2, YANG Jiong2, 3*, QIU Zhi-li1, 2, YUE Zi-long1 |
1. Institute of Jewelry and Jade Carving, Nanyang Normal University, Nanyang 473061, China
2. School of Earth Science and Engineering, Sun Yat-sen University, Guangdong Provincial Key Lab of Geological Processes and Mineral Resource Survey, Guangzhou 510275, China
3. School of Tourism, Taishan University, Research Institute of Taishan, Taian 271000, China
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Abstract Serpentine is one of the earliest jade used in China. Identifying the origin of serpentine jade is of great significance to understanding the development of Chinese ancient jade culture and rebuilding the ancient jade trade route. However, due to the large number of sources of serpentine jade, there is still no proven technology to identify the geographic determination of serpentine jade. In this paper, serpentine jade from Hanzhong, Shaanxi; Dunhuang, Gansu; Luanchuan, Henan; Xiuyan, Liaoning; Tai'an, Shandong, and Wushan, Gansu were studied. A Linear Discriminant Analysis (LDA) model was established based on Principle Component Analysis（PCA） of 200 high-quality Raman data collected from 66 samples. The results show that the mineral compositions of serpentine jade from the six regions differ. The main mineral compositions of serpentine jade in Hanzhong are chrysotile and lizardite. Dunhuang serpentine jade is a homogeneous mixture of chrysotile and serpentite. The main mineral composition of Tai'an serpentine jade includes lizardite (Mojade) and antigorite (Bijade and Cuibanjade). The main mineral composition of serpentine jade in Luanchuan, Xiuyan, and Wushan areall antigorite. Under the premise of strictly controlling the experimental conditions, the Raman spectrum data combined with PCA+LDA analysis can distinguish serpentine jade from different origins. The established LDA model's correct rate of origin discrimination is 96.25% and 92.50% for training and test data, respectively. There sult shows the potential value of tracing the origin of serpentine jade by nondestructive Raman spectroscopy. Combining Raman spectroscopy data with statistics or machine learning methods to build a discriminant model may be a new technical path to solve the serpentine jade origin traceability bottleneck.
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Received: 2023-09-06
Accepted: 2024-03-29
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Corresponding Authors:
YANG Jiong
E-mail: tsxyyj@163.com
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