Application of Kilowatt MPT-AES in Oil Analysis†

doi:10.7503/cjcu20180377

Abstract

Abstract:

The direct atomization injection analysis of oil samples by the kilowatt microwave plasma torchatomic emission spectrometry(MPT-AES) device was realized for the first time. To demonstrate the performance of this device, eight metal elements in the directly diluted lubricating oil were tested and the changes of plasma morphology during injection were recorded. The results show the high accuracy of our device with the R² values of the linear regression equations of all tested elements are greater than 0.995. Furthermore, the detection limit of this device achieves a comparable level to the traditional ICP-AES method. These results further suggest that our MPT-AES device have a great potential in the analysis and online rapid monitoring of oil-based maintenance. At the same time, an online oil mixing device was developed, which makes the operation of elements detection more convenient and the injection volume more accurate, and is especially suitable for the collection, direct dilution and injection of trace samples.

Key words: Microwave plasma torch(MPT), Lubricating oil, Element detection, Sample introduction device

CLC Number:

O657

TrendMD:

YAN Yuwei,JIN Wei,ZHU Dan,ZHANG Tao,YING Yangwei,SHAN Jin,ZHANG Xuchen,YU Bingwen,CHEN Ting,LIU Chao,JIN Qinhan. Application of Kilowatt MPT-AES in Oil Analysis^†[J]. Chem. J. Chinese Universities, 2018, 39(12): 2651.

Figures/Tables 8

Fig.1 Schematic diagram of kilowatt MPT-AES setup

Fig.2 Comparison of plasma morphology without(A, C) and with oil sample injection(B, D)(A, B) 10 ms exposure; (C, D) 1 ms exposure.

Fig.3 Emission intensities of Cu 324.754 nm at different sampling rates

Fig.4 Emission intensities of Cu 324.754 nm at different flow rates of carrier gas

Fig.5 Emission intensities of Cu 324.754 nm at different flow rates of shielding gas

Fig.6 Relative intensities of Cu 324.754 nm at different MW forward powersS/B: signal to background ratio.

Table 1 Testing results of eight elements

Element	λ/nm	Linear regression equation	R²	RSD(%,n=11)	Detection limit
Element	λ/nm	Linear regression equation	R²	RSD(%,n=11)	MPT/(μg·mL^-1)	ICP/(μg·g^-1)
Ag	Ⅰ 328.068	y=2142.4x+221.5	0.9985	2.28	0.033	0.020^[1]
Al	Ⅰ 396.152	y=1244.0x-544.3	0.9967	2.77	0.10	0.15^[1]
Cd	Ⅰ 228.802	y=97.7x+252.4	0.9992	2.36	0.94	1.1^[30]
Cr	Ⅰ 425.435	y=1655.4x-591.4	0.9951	2.28	0.048	0.030^[1]
Cu	Ⅰ 327.396	y=3709.1x+4015.6	0.9996	1.88	0.022	0.015^[1]
Mg	Ⅱ 279.553	y=2523.5x-553.2	0.9991	2.03	0.079	0.050^[1]
Ti	Ⅱ 334.941	y=124.2x-399.3	0.9982	2.63	0.92	0.020^[1]
Zn	Ⅰ 213.856	y=271.8x+12.2	0.9996	3.45	0.35	0.015^[1]

Fig.7 Schematic diagram of online oil mixing and injection device

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