Quantitative Prediction of Heavy Metal Elements in white peony root Using Laser‐Induced Breakdown Spectroscopy and Semi‐Supervised Sequential Learning

Fudong Nian; Yujie Hu; Fuqiang Chen; Zhao Cheng; Yanhong Gu

doi:10.3788/CJL240790

Chinese Journal of Lasers, Volume. 51, Issue 23, 2311003(2024)

Quantitative Prediction of Heavy Metal Elements in white peony root Using Laser‐Induced Breakdown Spectroscopy and Semi‐Supervised Sequential Learning

Fudong Nian¹, Yujie Hu¹, Fuqiang Chen², Zhao Cheng³, and Yanhong Gu^1、*

Author Affiliations

¹Institute of Advanced Manufacturing Engineering, Hefei University, Hefei 230601, Anhui , China

²College of Environmental Science and Optoelectronic Technology, University of Science and Technology of China, Hefei 230026, Anhui , China

³Chinese Academy of Environmental Planning, Beijing 100043, China

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Fudong Nian, Yujie Hu, Fuqiang Chen, Zhao Cheng, Yanhong Gu. Quantitative Prediction of Heavy Metal Elements in white peony root Using Laser‐Induced Breakdown Spectroscopy and Semi‐Supervised Sequential Learning[J]. Chinese Journal of Lasers, 2024, 51(23): 2311003

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Paper Information

Category: spectroscopy

Received: Apr. 19, 2024

Accepted: May. 27, 2024

Published Online: Dec. 10, 2024

The Author Email: Yanhong Gu (guyh@hfuu.edu.cn)

DOI:10.3788/CJL240790

CSTR:32183.14.CJL240790

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology