LIBS Enhancement Technique of Metal Elements in Liquid Based on Dispersed Phase

Biao Yang; Yuanhang Wang; Yang Bu

doi:10.3788/CJL240713

Chinese Journal of Lasers, Volume. 51, Issue 23, 2311001(2024)

LIBS Enhancement Technique of Metal Elements in Liquid Based on Dispersed Phase

Biao Yang^1,2, Yuanhang Wang^3、**, and Yang Bu^1,2、*

¹Laboratory of Information Optics and Opto-Electronic Technology, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai 201800, China

²Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China

³Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413, China

show less

Abstract Get PDF(in Chinese)

Figures & Tables(15)

Fig. 1. Schematic of LIBS experimental setup

Download full size

Fig. 2. Sample preparation processes. (a) Liquid sample; (b) mixed sample

Download full size

Fig. 3. Spectrum of blank sample for wheat starch

Download full size

Fig. 4. Spectra at Al I 394.40 nm and Al I 396.15 nm for mixed samples prepared by different dispersed phases

Download full size

$Al I 396.15 nm spectral intensity versus mass fraction of dispersed phase. (a) Wheat flour; (b) wheat starch; (a) sweet potato starch; (b) corn starch$

Fig. 5. Al I 396.15 nm spectral intensity versus mass fraction of dispersed phase. (a) Wheat flour; (b) wheat starch; (a) sweet potato starch; (b) corn starch

Download full size

Fig. 6. Evolution of Al I 396.15 nm spectral intensity under atmospheric drying

Download full size

$Saha-Boltzmann plot of dispersed phase sample with high mass fraction at delay time of 900 ns$

Fig. 7. Saha-Boltzmann plot of dispersed phase sample with high mass fraction at delay time of 900 ns

Download full size

Fig. 8. Temporal evolutions of plasma electron temperature and electron density based on dispersed phase LIBS. (a) Electron temperature; (b) electron density

Download full size

Fig. 9. Calibration curves of mixed sample and liquid sample

Download full size

Fig. 10. Calibration curves of mixed sample under atmospheric drying

Download full size

Table 1. Emission and transition parameters of Mg spectral lines
View table
Table 1. Emission and transition parameters of Mg spectral lines
Line $λ_{j i}$ /nm $E_{j}$ /eV $g_{j}$ $A_{j i}$ /（10⁸ s^-1）
Mg I 285.21 4.345803 3 4.91
Mg II 279.55 4.433784 4 2.60
Mg II 280.27 4.422431 2 2.57

Table 2. Analytical performances of mixed sample and liquid sample

View table

Table 2. Analytical performances of mixed sample and liquid sample

Sample	Drying time /min	$P_{L O D}$ /（mg/L）	$R^{2}$	Factor of increase in LOD
Liquid sample	‒	120.14	0.908	‒
Mixed sample	0	19.92	0.977	6.03
Mixed sample	20	14.85	0.912	8.09
Mixed sample	40	9.98	0.966	12.03
Mixed sample	60	6.96	0.941	17.26

Table 3. PLSR prediction errors

View table

Table 3. PLSR prediction errors

Spectral pre-processing method	$E_{A R}$ /%	$P_{R M S E}$ /（mg/L）	Spectral pre-processing method	$E_{A R}$ %	$P_{R M S E}$ /（mg/L）
Raw	74.43	34.29	FD with smooth point numbers of 7	77.70	37.12
Nor	38.20	16.53	FD with smooth point numbers of 9	75.22	35.26
MSC	67.63	31.96	SD with smooth point numbers of 5	103.41	53.42
SNV	71.01	29.96	SD with smooth point numbers of 7	94.12	47.30
FD with smooth point numbers of 5	83.81	41.55	SD with smooth point numbers of 9	82.09	46.59

Table 4. Prediction errors of PLSR model in generalized spectral method

View table

Table 4. Prediction errors of PLSR model in generalized spectral method

Spectral pre-processing method	$E_{A R}$ /%	$P_{R M S E}$ /（mg/L）	Spectral pre-processing method	$E_{A R}$ /%	$P_{R M S E}$ /（mg/L）
Raw	57.03	31.60	FD with smooth point numbers of 7	77.70	37.12
Nor	29.05	14.20	FD with smooth point numbers of 9	57.77	32.47
MSC	44.49	24.09	SD with smooth point numbers of 5	82.85	47.85
SNV	71.01	29.96	SD with smooth point numbers of 7	94.12	47.30
FD with smooth point numbers of 5	62.86	35.70	SD with smooth point numbers of 9	74.10	42.40

Table 5. Prediction errors of PLSR model in generalized spectral method after Nor pre-processing
View table
Table 5. Prediction errors of PLSR model in generalized spectral method after Nor pre-processing
Mass concentration of sample /（mg/L） 20 50 100 200
E_AR /% 90.02 12.70 6.71 6.78

Tools

Get Citation

Copy Citation Text

Biao Yang, Yuanhang Wang, Yang Bu. LIBS Enhancement Technique of Metal Elements in Liquid Based on Dispersed Phase[J]. Chinese Journal of Lasers, 2024, 51(23): 2311001

Download Citation

EndNote(RIS)BibTex Plain Text

Set citation alerts for article

Save article for my favorites