In-situ Detection of Petroleum Hydrocarbon Pollutants in Soil by Ultraviolet-Induced Fluorescence

Jinqiang Yang; Ruifang Yang; Nanjing Zhao; Gaofang Yin; Mingjun Ma; Li Fang; Gaoyong Shi; Liangchen Liu; Desuo Meng; Wenqing Liu

doi:10.3788/AOS221531

Journals >Acta Optica Sinica >Volume 43 >Issue 6 >Page 0612009 > Article

Acta Optica Sinica
Vol. 43, Issue 6, 0612009 (2023)

In-situ Detection of Petroleum Hydrocarbon Pollutants in Soil by Ultraviolet-Induced Fluorescence

Jinqiang Yang^1、2、3, Ruifang Yang^2、3、*, Nanjing Zhao^2、3、**, Gaofang Yin^2、3, Mingjun Ma^2、3, Li Fang^2、3, Gaoyong Shi^1、2、3, Liangchen Liu^1、2、3, Desuo Meng⁴, and Wenqing Liu^2、3

Author Affiliations

¹University of Science and Technology of China, Hefei 230026, Anhui, China

²Key Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, China Academy of Sciences, Hefei 230031, Anhui, China

³Key Laboratory of Optical Monitoring Technology for Environment of Anhui Province, Hefei 230031, Anhui, China

⁴Huainan Normal University, Huainan 232000, Anhui, China

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DOI: 10.3788/AOS221531 Cite this Article Set citation alerts

Jinqiang Yang, Ruifang Yang, Nanjing Zhao, Gaofang Yin, Mingjun Ma, Li Fang, Gaoyong Shi, Liangchen Liu, Desuo Meng, Wenqing Liu. In-situ Detection of Petroleum Hydrocarbon Pollutants in Soil by Ultraviolet-Induced Fluorescence[J]. Acta Optica Sinica, 2023, 43(6): 0612009 Copy Citation Text

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Fig. 1. Three-dimensional fluorescence spectra of diesel engine oil

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Fig. 2. Emission spectra of different soil blank samples under 280 nm-LED irradiation. (a) Red soil; (b) yellow soil; (c) black soil

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Fig. 3. Emission spectra of samples containing 10% engine oil under different soil types irradiated by 280 nm-LED

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Fig. 4. Schematic diagram and physical picture of experimental system. (a) Schematic diagram;(b) physical picture

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$Correlation between mass fraction of oil in soil and fluorescent electrical signal. (a) LIF system; (b) experimental system$

Fig. 5. Correlation between mass fraction of oil in soil and fluorescent electrical signal. (a) LIF system; (b) experimental system

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Fig. 6. Average RSD measured by proposed system under different soil types

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Fig. 7. Average RE measured by proposed system under different soil types

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Integration time /s	RSD /%
0.4	6.77
0.6	5.56
0.8	4.72
1.0	4.57
1.4	4.41
1.6	4.23
2.0	3.61
2.2	3.67
2.4	3.65
2.6	3.61
3.0	3.52

Table 1. RSD of signal of experimental system under different integration times

Soil type	Petroleum hydrocarbon	Regression equation	Correlation coefficient R²	Detection limit / （mg·kg^-1）
Red soil	Gasoline engine oil	y=7121.3x+8803.12	0.9734	60.38
	Diesel engine oil	y=14374.4x+8791.96	0.9941	29.91
	Air compressor engine oil	y=49681.01x+8827.11	0.9953	8.66
Yellow soil	Gasoline engine oil	y=6915.7x+10724.4	0.9625	62.37
	Diesel engine oil	y=13730.1x+11400.7	0.9937	31.39
	Air compressor engine oil	y=48622.8x+11641.1	0.9964	8.87
Black soil	Gasoline engine oil	y=6001.63x+18761.29	0.9572	104.97
	Diesel engine oil	y=12113.57x+18912.43	0.9901	52.01
	Air compressor engine oil	y=37619.13x+18317.61	0.9926	16.75

Table 2. Quantitative analysis of soil petroleum hydrocarbons for different soil types

Petroleum hydrocarbon	Standard mass fraction	Predicted mass fraction	RE	Average RE	RSD	Average RSD
Gasoline engine oil	0.150	0.143	4.67	5.62	3.70	3.53
	0.250	0.233	6.80		3.71
	0.350	0.371	6.00		3.42
	0.600	0.579	3.50		3.49
	0.800	0.857	7.13		3.33
Diesel engine oil	0.150	0.141	6.00	4.76	3.59	3.59
	0.250	0.257	2.80		3.61
	0.350	0.341	2.57		3.44
	0.600	0.613	2.17		4.17
	0.800	0.882	10.25		3.12
Air compressor engine oil	0.150	0.155	3.33	4.40	3.36	3.36
	0.250	0.261	4.40		3.28
	0.350	0.357	2.00		3.51
	0.600	0.631	5.17		3.55
	0.800	0.859	7.38		3.12

Table 3. Prediction results of different types of petroleum hydrocarbons in red soil

Petroleum hydrocarbon	Standard mass fraction	Predicted mass fraction	RE	Average RE	RSD	Average RSD
Gasoline engine oil	0.150	0.134	10.67	7.69	3.17	3.70
	0.250	0.234	6.40		4.63
	0.350	0.329	6.00		3.76
	0.600	0.570	5.00		3.01
	0.800	0.883	10.38		3.92
Diesel engine oil	0.150	0.137	8.67	6.31	2.42	3.16
	0.250	0.261	4.40		3.31
	0.350	0.332	5.14		3.86
	0.600	0.567	5.50		3.01
	0.800	0.863	7.88		3.19
Air compressor engine oil	0.150	0.143	4.60	6.40	3.21	3.04
	0.250	0.232	7.20		2.01
	0.350	0.326	6.86		3.45
	0.600	0.626	4.33		3.12
	0.800	0.728	9.00		3.43

Table 4. Prediction results of different types of petroleum hydrocarbons in yellow soil

Petroleum hydrocarbon	Standard mass fraction	Predicted mass fraction	RE	Average RE	RSD	Average RSD
Gasoline engine oil	0.150	0.159	6.00	8.25	3.33	3.40
	0.250	0.270	8.00		3.71
	0.350	0.377	7.71		3.12
	0.600	0.672	12.00		3.29
	0.800	0.891	11.38		3.61
Diesel engine oil	0.150	0.162	8.00	6.72	3.52	3.51
	0.250	0.263	5.20		3.90
	0.350	0.359	2.57		3.37
	0.600	0.663	10.50		3.21
	0.800	0.862	7.75		3.53
Air compressor engine oil	0.150	0.138	7.33	7.24	3.53	3.01
	0.250	0.268	7.20		3.52
	0.350	0.369	5.43		3.23
	0.600	0.654	9.00		3.09
	0.800	0.853	6.62		2.19

Table 5. Prediction results of different types of petroleum hydrocarbons in black soil

Petroleum hydrocarbon

Regression equation

Correlation coefficient

R²

Detection limit /

（mg·kg^-1）

Gasoline engine oil

y=4718.51x+46940.9

0.9515

135.65

Diesel engine oil

y=10781.53x+47113.3

0.9793

59.37

Air compressor engine oil

y=32629.52x+47467.6

0.9901

19.62

Table 6. Quantitative analysis of soil petroleum hydrocarbons in lake bottom mud

Petroleum hydrocarbon	Standard mass fraction	Predicted mass fraction	RE	Average RE
Gasoline engine oil	0.150	0.178	18.67	8.25
	0.250	0.275	10.00
	0.350	0.326	6.86
	0.600	0.565	5.83
	0.800	0.846	5.75
Diesel engine oil	0.150	0.128	14.67	6.72
	0.250	0.236	5.60
	0.350	0.323	7.71
	0.600	0.571	4.83
	0.800	0.764	4.50
Air compressor engine oil	0.150	0.163	8.69	7.24
	0.250	0.234	6.40
	0.350	0.329	6.00
	0.600	0.563	6.17
	0.800	0.773	8.63

Table 7. Prediction results of different types of petroleum hydrocarbons in lake bottom mud

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