Fluorescence Detection of Oil Pollutants Based on PARAFAC and ART Algorithms

Chen Zhikun; Mi Yang; Shen Xiaowei; Cheng Pengfei

doi:10.3788/LOP55.013004

Laser & Optoelectronics Progress, Volume. 55, Issue 1, 13004(2018)

Fluorescence Detection of Oil Pollutants Based on PARAFAC and ART Algorithms

Chen Zhikun¹, Mi Yang^1、*, Shen Xiaowei¹, and Cheng Pengfei^1,2

Author Affiliations

¹College of Electrical Engineering, North China University of Science and Technology, Tangshan, Hebei 0 63210, China

²Measurement Technology and Instrument Key Lab of Hebei Province, Yanshan University, Qinhuangdao, Hebei 0 66004, China

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Figures & Tables(9)

Fig. 1. Model decomposition schematic of PARAFAC algorithm

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Fig. 2. Three-dimensional fluorescence spectra of standard solutions. (a) Diesel; (b) gasoline; (c) kerosene

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Fig. 3. Two-dimensional fluorescence spectra of diesel, gasoline and kerosene standard solutions. (a) Excitation spectra; (b) emission spectra

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Fig. 4. Fluorescence spectra estimated by PARAFAC algorithm model. (a) Excitation spectra; (b) emission spectra

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Fig. 5. Residual square sum of (a) PARAFAC and (b) ART algorithms changing with component number

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Fig. 6. Fluorescence spectra estimated by ART algorithm. (a) Excitation spectra; (b) emission spectra

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Table 1. Mass concentration of samples

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Table 1. Mass concentration of samples

Number	Mass concentration /(mg·L^-1)			Number	Mass concentration /(mg·L^-1)
Number		No. 0 diesel	No. 95 gasoline	Kerosene	No. 0 diesel	No. 95 gasoline	Kerosene
1	0.2	0.1	0.5	11	0.3	0.3	0.3
2	0.1	0.5	0.2	12	0.3	0.1	0.5
3	0.5	0.2	0.1	13	0.5	0.3	0.1
4	0.5	0.5	0.5	14	0.1	0.5	0.2
5	0.8	0.8	0.8	15	0.4	0.3	0.2
6	1.0	1.0	1.0	16	0.7	0.7	0.7
7	0.5	0.8	1.0	17	0.6	0.9	0.8
8	0.8	1.0	0.5	18	0.8	0.6	0.7
9	1.0	0.5	0.8	19	0.9	0.8	0.6
10	0.8	1.0	0.8	20	0.8	0.9	0.6

Table 2. Predicted mass concentration and recovery rate of mixed solutions obtained by PARAFAC algorithm

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Table 2. Predicted mass concentration and recovery rate of mixed solutions obtained by PARAFAC algorithm

Number	Predicted massconcentration /(mg·L^-1)			Recoveryrate /%			Average recoveryrate /%
Number	No. 0diesel	No. 95gasoline	Kerosene	No. 0diesel	No. 95gasoline	Kerosene	No. 0diesel	No. 95gasoline	Kerosene
11	0.287	0.279	0.290	95.67	93.00	96.67	95.60±3.60	94.67±3.66	95.49±4.49
12	0.283	0.092	0.472	94.33	92.00				94.40
13	0.479	0.282	0.091	95.80	94.00				91.00
14	0.092	0.485	0.193	92.00	97.00				96.50
15	0.376	0.286	0.192	94.00	95.33				96.00
16	0.687	0.665	0.674	98.14	95.00				96.29
17	0.575	0.870	0.778	95.83	96.67				97.25
18	0.774	0.564	0.673	96.75	94.00				96.14
19	0.857	0.730	0.566	95.22	91.25				94.33
20	0.786	0.885	0.578	98.25	98.33				96.33

Table 3. Predicted mass concentration and recovery rate of mixed solutions obtained by ART algorithm

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Table 3. Predicted mass concentration and recovery rate of mixed solutions obtained by ART algorithm

Number	Predicted massconcentration /(mg·L^-1)			Recoveryrate /%			Averagerecovery rate /%
Number	No. 0diesel	No. 95gasoline	Kerosene	No. 0diesel	No. 95gasoline	Kerosene	No. 0diesel	No. 95gasoline	Kerosene
11	0.285	0.293	0.261	95.00	97.67	87.00	96.58±2.17	95.17±9.17	95.90±8.90
12	0.289	0.086	0.484	96.33	86.00				96.80
13	0.487	0.291	0.095	97.40	97.00				95.00
14	0.095	0.470	0.203	95.00	94.00				101.50
15	0.385	0.273	0.190	96.25	91.00				95.00
16	0.687	0.673	0.652	98.14	96.14				93.14
17	0.587	0.882	0.772	97.83	98.00				96.50
18	0.760	0.579	0.682	95.00	96.50				97.42
19	0.865	0.762	0.589	96.11	95.25				98.17
20	0.790	0.901	0.591	98.75	100.11				98.50

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Chen Zhikun, Mi Yang, Shen Xiaowei, Cheng Pengfei. Fluorescence Detection of Oil Pollutants Based on PARAFAC and ART Algorithms[J]. Laser & Optoelectronics Progress, 2018, 55(1): 13004

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Paper Information

Category: Spectroscopy

Received: Jul. 13, 2017

Accepted: --

Published Online: Sep. 10, 2018

The Author Email: Mi Yang (18232595806@163.com)

DOI:10.3788/LOP55.013004

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology