Acta Optica Sinica, Volume. 39, Issue 3, 0330001(2019)

Nephrite Origin Identification Based on Raman Spectroscopy and Pattern Recognition Algorithms

Huidi Xu1, Lulu Lin1, Zheng Li2, Meizhen Huang1、*, and Zhengyu Zhou3
Author Affiliations
  • 1 Department of Instrument Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
  • 2 Shanghai Instrument and Electrical Analysis Instrument Co., Ltd., Shanghai 201805, China
  • 3 School of Ocean and Earth Science, Tongji University, Shanghai 200092, China
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    The self-developed portable Raman spectrometer is used to analyze the Raman spectral characteristics of nephrites from Gansu, Qinghai, and Xinjiang, and the spectral differences are analyzed. The nondestructive identification of nephrites from three different origins is realized based on the two pattern recognition algorithms of Mahalanobis distance discriminated method and random forest discriminated method. The results show that the Mahalanobis distance discriminated method and the random forest discriminated method can be used to distinguish the nephrites from different origins with the same Raman peak, and the identification accuracies of them are 87.5% and 95.83%, respectively.

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    Huidi Xu, Lulu Lin, Zheng Li, Meizhen Huang, Zhengyu Zhou. Nephrite Origin Identification Based on Raman Spectroscopy and Pattern Recognition Algorithms[J]. Acta Optica Sinica, 2019, 39(3): 0330001

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    Paper Information

    Category: Spectroscopy

    Received: Sep. 13, 2018

    Accepted: Nov. 8, 2018

    Published Online: May. 10, 2019

    The Author Email:

    DOI:10.3788/AOS201939.0330001

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