Quantitative Analysis of Copper Element in Pig Feed Using Laser Induced Breakdown Spectroscopy Combined with CARS Algorithm

Shanshan Liu; Jun Zhang; Sihan Lin; Muhua Liu; Jing Li; Zuodong Pan

doi:10.3788/LOP55.023001

Laser & Optoelectronics Progress, Volume. 55, Issue 2, 023001(2018)

Quantitative Analysis of Copper Element in Pig Feed Using Laser Induced Breakdown Spectroscopy Combined with CARS Algorithm

Shanshan Liu^1,2, Jun Zhang¹, Sihan Lin^1,2, Muhua Liu^1,2,3, Jing Li^1,2,3、*, and Zuodong Pan¹

Author Affiliations

¹ College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, Jiangxi 330045, China

¹ School of Engineering, Jiangxi Agricultural University, Nanchang, Jiangxi 330045, China

² Jiangxi Key Laboratory of Modern Agricultural Equipment, Nanchang, Jiangxi 330045, China

³ Collaborative Innovation Center of Postharvest Key Technology and Quality Safety of Fruits and Vegetables in Jiangxi Province, Nanchang, Jiangxi 330045, China

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Figures & Tables(8)

Fig. 1. Schematic of LIBS system

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$LIBS spectrum of pig feed samples with copper mass fraction of 4.2459×10-4 in 322-329 nm band$

Fig. 2. LIBS spectrum of pig feed samples with copper mass fraction of 4.2459×10-4 in 322-329 nm band

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Fig. 3. CARS variable preference diagrams of pig feed. (a) Trend chart of wavelength number; (b) trend chart of RMSECV; (c) trend chart of wavelength variable regression coefficient

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Fig. 4. Predicted results of all optical spectrum-PLS model. (a) Modeling set; (b) prediction set

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Fig. 5. Predicted results of CARS-PLS model. (a) Modeling set; (b) prediction set

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Table 1. True content of copper element in pig feed samples
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Table 1. True content of copper element in pig feed samples
Sample Mass fraction /10^-6
1 8.61
2 28.97
3 38.96
4 85.24
5 89.15
6 153.00
7 167.72
8 173.29
9 192.45
10 202.22
11 206.13
12 220.03
13 255.55
14 305.30
15 359.27
16 368.75
17 424.59
18 433.53
19 477.04

Table 2. Modeling results of all optical spectrum-PLS model and CARS-PLS model
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Table 2. Modeling results of all optical spectrum-PLS model and CARS-PLS model
Modelingmethod Variablenumber Modeling set Prediction set
R² RMSECV R² Average relative error /%
All optical spectrum-PLS 2048 0.9676 24.51 0.9533 10.86
CARS-PLS 22 0.978 19.25 0.9932 5.59

Table 3. Predicted content and true content of Cu element in pig feed samples in prediction set PLS model

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Table 3. Predicted content and true content of Cu element in pig feed samples in prediction set PLS model

Sample	Truemassfraction /^-6	Predicted massfraction /10^-6	Averagerelativeerror /%
1	38.960	44.80	14.87
2	89.150	88.52	0.54
3	153.000	138.93	9.19
4	173.290	153.91	11.03
5	192.450	178.57	7.00
6	220.037	231.04	5.02
7	256.550	240.00	6.25
8	368.750	367.30	0.46
9	305.300	296.66	2.73
10	424.590	408.90	3.79
11	433.520	436.73	0.63

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Shanshan Liu, Jun Zhang, Sihan Lin, Muhua Liu, Jing Li, Zuodong Pan. Quantitative Analysis of Copper Element in Pig Feed Using Laser Induced Breakdown Spectroscopy Combined with CARS Algorithm[J]. Laser & Optoelectronics Progress, 2018, 55(2): 023001

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