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Feng Q, Li J, He Q. Photoelectric Measurement and Sensing: New Technology and Applications. SENSORS (BASEL, SWITZERLAND) 2023; 23:8584. [PMID: 37896677 PMCID: PMC10610686 DOI: 10.3390/s23208584] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Accepted: 10/18/2023] [Indexed: 10/29/2023]
Abstract
Laser-based measurement and sensing technology has been paid more and more attention by academia and industry because of its incomparable advantages, such as high sensitivity, fast response, and no contact [...].
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Affiliation(s)
- Qibo Feng
- MoE Key Lab of Luminescence and Optical Information, Beijing Jiaotong University, No. 3 Shangyuancun, Beijing 100044, China; (J.L.); (Q.H.)
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Enhanced Laser-Induced Breakdown Spectroscopy for Heavy Metal Detection in Agriculture: A Review. SENSORS 2022; 22:s22155679. [PMID: 35957235 PMCID: PMC9370981 DOI: 10.3390/s22155679] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 07/19/2022] [Accepted: 07/27/2022] [Indexed: 02/05/2023]
Abstract
Heavy metal pollution in agriculture is a significant problem that endangers human health. Laser-induced breakdown spectroscopy (LIBS) is an emerging technique for material and elemental analysis, especially heavy metals, based on atomic emission spectroscopy. The LIBS technique has been widely used for rapid detection of heavy metals with its advantages of convenient operation, simultaneous detection of multi-elements, wide range of elements, and no requirement for the state and quantity of samples. However, the development of LIBS is limited by its detection sensitivity and limit of detection (LOD). Therefore, in order to improve the detection sensitivity and LOD of LIBS, it is necessary to enhance the LIBS signal to achieve the purpose of detecting heavy metal elements in agriculture. This review mainly introduces the basic instruments and principles of LIBS and summarizes the methods of enhanced LIBS signal detection of heavy metal elements in agriculture over the past 10 years. The three main approaches to enhancing LIBS are sample pretreatment, adding laser pulses, and using auxiliary devices. An enhanced LIBS signal may improve the LOD of heavy metal elements in agriculture and the sensitivity and stability of the LIBS technique. The enhanced LIBS technique will have a broader prospect in agricultural heavy metal monitoring and can provide technical support for developing heavy metal detection instruments.
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Huang J, Dong M, Lu S, Yu Y, Liu C, Yoo JH, Lu J. A hybrid model combining wavelet transform and recursive feature elimination for running state evaluation of heat-resistant steel using laser-induced breakdown spectroscopy. Analyst 2019; 144:3736-3745. [PMID: 30984923 DOI: 10.1039/c9an00370c] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Heat-resistant steel is widely used in various industries, and the running state is of great importance for equipment function and safety. In this work, laser-induced breakdown spectroscopy (LIBS) is applied to evaluate the running state of steel using indicators of micro and macro properties. The hybrid model based on wavelet threshold denoising (WTD) and K-fold-support vector machine-recursive feature elimination (K-SVM-RFE) is proposed to estimate the different indictors of various service conditions of steel. Fourteen T91 specimens, including 4 industrial specimens obtained from different service conditions in the power plant boiler, were used as the analytes. Firstly, the noise signal of the LIBS spectra of each specimen was analyzed and removed with WTD. Secondly, an improved approach K-SVM-RFE was applied to select the optimal feature subset and build the classification models of aging grade and hardness grade. The influence of denoising pretreatment on model performance was compared and discussed. Finally, the assessment matrix, established using the indicators from the aging grade and hardness grade, was used to evaluate the running state of steel. The results show that the test assessment matrix obtained with the hybrid model based on WTD and K-SVM-RFE is consistent with the reference matrix on the running state of steel.
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Affiliation(s)
- Jianwei Huang
- School of Electric Power, South China University of Technology, Guangzhou, Guangdong 510640, China. and Guangdong Province Engineering Research Center of High Efficiency and Low Pollution Energy Conversion, Guangzhou, Guangdong 510640, China
| | - Meirong Dong
- School of Electric Power, South China University of Technology, Guangzhou, Guangdong 510640, China. and Guangdong Province Engineering Research Center of High Efficiency and Low Pollution Energy Conversion, Guangzhou, Guangdong 510640, China
| | - Shengzi Lu
- School of Electric Power, South China University of Technology, Guangzhou, Guangdong 510640, China. and Guangdong Province Engineering Research Center of High Efficiency and Low Pollution Energy Conversion, Guangzhou, Guangdong 510640, China
| | - Yishan Yu
- School of Electric Power, South China University of Technology, Guangzhou, Guangdong 510640, China. and Guangdong Province Engineering Research Center of High Efficiency and Low Pollution Energy Conversion, Guangzhou, Guangdong 510640, China
| | - Chunyi Liu
- Applied Spectra, Inc., 46665 Fremont Blvd, Fremont, CA 94538, USA
| | - Jong H Yoo
- Applied Spectra, Inc., 46665 Fremont Blvd, Fremont, CA 94538, USA
| | - Jidong Lu
- School of Electric Power, South China University of Technology, Guangzhou, Guangdong 510640, China. and Guangdong Province Engineering Research Center of High Efficiency and Low Pollution Energy Conversion, Guangzhou, Guangdong 510640, China
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Sensitive determination of silicon contents in low-alloy steels using micro laser-induced breakdown spectroscopy assisted with laser-induced fluorescence. Talanta 2019; 194:697-702. [DOI: 10.1016/j.talanta.2018.10.069] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2018] [Revised: 10/18/2018] [Accepted: 10/19/2018] [Indexed: 12/16/2022]
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Li J, Zhu Z, Zhou R, Zhao N, Yi R, Yang X, Li X, Guo L, Zeng X, Lu Y. Determination of Carbon Content in Steels Using Laser-Induced Breakdown Spectroscopy Assisted with Laser-Induced Radical Fluorescence. Anal Chem 2017; 89:8134-8139. [DOI: 10.1021/acs.analchem.7b01932] [Citation(s) in RCA: 39] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Jiaming Li
- Wuhan National Laboratory
for Optoelectronics (WNLO), Huazhong University of Science and Technology, Wuhan, Hubei 430074, P. R. China
| | - Zhihao Zhu
- Wuhan National Laboratory
for Optoelectronics (WNLO), Huazhong University of Science and Technology, Wuhan, Hubei 430074, P. R. China
| | - Ran Zhou
- Wuhan National Laboratory
for Optoelectronics (WNLO), Huazhong University of Science and Technology, Wuhan, Hubei 430074, P. R. China
| | - Nan Zhao
- Wuhan National Laboratory
for Optoelectronics (WNLO), Huazhong University of Science and Technology, Wuhan, Hubei 430074, P. R. China
| | - Rongxing Yi
- Wuhan National Laboratory
for Optoelectronics (WNLO), Huazhong University of Science and Technology, Wuhan, Hubei 430074, P. R. China
| | - Xinyan Yang
- Wuhan National Laboratory
for Optoelectronics (WNLO), Huazhong University of Science and Technology, Wuhan, Hubei 430074, P. R. China
| | - Xiangyou Li
- Wuhan National Laboratory
for Optoelectronics (WNLO), Huazhong University of Science and Technology, Wuhan, Hubei 430074, P. R. China
| | - Lianbo Guo
- Wuhan National Laboratory
for Optoelectronics (WNLO), Huazhong University of Science and Technology, Wuhan, Hubei 430074, P. R. China
| | - Xiaoyan Zeng
- Wuhan National Laboratory
for Optoelectronics (WNLO), Huazhong University of Science and Technology, Wuhan, Hubei 430074, P. R. China
| | - Yongfeng Lu
- Wuhan National Laboratory
for Optoelectronics (WNLO), Huazhong University of Science and Technology, Wuhan, Hubei 430074, P. R. China
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Li J, Hao Z, Zhao N, Zhou R, Yi R, Tang S, Guo L, Li X, Zeng X, Lu Y. Spatially selective excitation in laser-induced breakdown spectroscopy combined with laser-induced fluorescence. OPTICS EXPRESS 2017; 25:4945-4951. [PMID: 28380761 DOI: 10.1364/oe.25.004945] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
Spatially selective excitation was proposed to improve excitation efficiency in laser-induced breakdown spectroscopy combined with laser-induced fluorescence (LIBS-LIF). Taking chromium (Cr) and nickel (Ni) elements in steels as examples, it was discovered that the optimal excitation locations were the center of the plasmas for the matrix of the iron (Fe) element but the periphery for Cr and Ni elements. By focusing an excitation laser at the optimal locations, not only excitation efficiency but also the analytical accuracy and sensitivity of quantitative LIBS-LIF were better than those with excitation at the plasma center in conventional LIBS-LIF. This study provides an effective way to improve LIBS-LIF analytical performance.
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