Fluorescence Detection of Oil Pollutants Based on PARAFAC and ART Algorithms

Chen Zhikun; Mi Yang; Shen Xiaowei; Cheng Pengfei

doi:10.3788/LOP55.013004

Journals >Laser & Optoelectronics Progress >Volume 55 >Issue 1 >Page 13004 > Article

Laser & Optoelectronics Progress
Vol. 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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DOI: 10.3788/LOP55.013004 Cite this Article Set citation alerts

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 Copy Citation Text

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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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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 1. Mass concentration of samples

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

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

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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