Determination of Water Content in Watered Anhydrous Coolant Liquid and Brake Fluid of Automobile Using Fourier Transform Near-Infrared Spectroscopy
ZHANG Yu1, TAN Li-hong1, HE Yong2, 3*
1. Zhejiang Technical Institute of Economics, Hangzhou 310018, China
2. College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China
3. Key Laboratory of Spectroscopy Sensing, Ministry of Agriculture, Hangzhou 310058, China
Abstract:Coolant liquid and brake fluid are important vehicle oils, and they are of great significance for the normal operation of vehicles. Adding water into the coolant liquid and brake fluid is the common adulteration method for coolant liquid and brake fluid. The active ingredients in adulterated coolant liquid and brake fluid will reduce, and function of coolant liquid and brake fluid will be influenced. This will result in the harm of vehicles, which will influence the normal operation of vehicles. Rapid and accurate detection of water content in coolant liquid and brake fluid is of importance for quality assurance. In this paper, Fourier transform near-infrared spectroscopy was used to determine water content in different brands of watered anhydrous coolant liquid and brake fluid. Three brands of anhydrous coolant liquid, and four brands of brake fluid were used. In addition, samples with water contents of 0%, 5%, 10%, 15%, 20%, 25%, 30% and 35% were prepared. Fourier transform near-infrared transmittance spectra of the samples were acquired, and the spectral range of 10 067~5 442 cm-1 were used for analysis. There were differences on near-infrared transmittance spectra among samples with different water contents. Based on each brand of anhydrous coolant liquid and brake fluid, principal component analysis (PCA) indicated the obvious differences among samples with different water contents. Besides, second derivative spectra were used to select optimal wavenumbers for each brand of anhydrous coolant liquid and brake fluid, as well as the combination of all brands. The selected optimal wavenumbers were similar among different brands of anhydrous coolant liquid as well as the combination of brands, and the selected optimal wavenumbers were similar among different brands of brake fluid as well as the combination of brands. The number of wavenumbers reduced at least 98.67% after selection. Based on the full spectra and the selected optimal wavenumbers, partial least squares (PLS) and least-squares support vector machine (LS-SVM) were built. All the models obtained quite good performances, with determination of coefficient (R2) over 0.9 and residual prediction deviation (RPD) over 3. These prediction models obtained good performances. The performances of models for single brands were similar to those for the combination of brands, indicating that it was feasible to build calibration models using the combination of brands which would benefit the practical application. The overall results indicated the feasibility of using Fourier transform near-infrared transmittance spectroscopy combined with chemometric methods could be used to determine water adulteration in different brands of anhydrous coolant liquid and brake fluid. The results would help to develop on-line detection systems for water adulteration in different brands of anhydrous coolant liquid and brake fluid, and would provide guidance for detecting water content other fluids for automobile.
张 瑜,谈黎虹,何 勇. 基于傅里叶变换近红外透射光谱的汽车用无水冷却液和制动液掺水检测[J]. 光谱学与光谱分析, 2019, 39(07): 2128-2135.
ZHANG Yu, TAN Li-hong, HE Yong. Determination of Water Content in Watered Anhydrous Coolant Liquid and Brake Fluid of Automobile Using Fourier Transform Near-Infrared Spectroscopy. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2019, 39(07): 2128-2135.
[1] Lima F S G, Araujo M A S, Borges L E P. Journal of Near Infrared Spectroscopy, 2004, 12(3): 159.
[2] JIANG Lu-lu, ZHANG Yu, LIU Fei, et al (蒋璐璐, 张 瑜, 刘 飞, 等). Acta Petrolei Sinica·Petroleum Processing Section(石油学报·石油加工), 2011, 27(1): 112.
[3] HU Bi-xia, ZHANG Hong-guang, LU Jian-gang,et al(胡碧霞, 张红光, 卢建刚, 等). Journal of Nanjing University of Science and Technology(南京理工大学学报), 2017, 41(5): 660.
[4] Balabin R M, Safieva R Z, Lomakina E I. Microchemical Journal, 2011, 98(1): 121.
[5] ZHANG Yu, TAN Li-hong, HE Yong(张 瑜, 谈黎虹, 何 勇). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2016, 36(10): 3179.
[6] Zhao Y, Zhu S, Zhang C, et al. RSC Advances, 2018, 8(3): 1337.
[7] Zhang C, Liu F, Kong WW, et al. Sensors, 2015, 15(7): 16576.
[8] Cheng J H, Sun D W. Food Engineering Reviews, 2017, 9(1): 36.
[9] Bao Y D, Liu F, Kong W W, et al. Food and Bioprocess Technology, 2014, 7(1): 54.
[10] Cui C, Fearn T. Journal of Near Infrared Spectroscopy, 2017, 25(1): 5.
[11] Zhang C, Jiang H, Liu F, et al. Food & Bioprocess Technology, 2017, 10(1): 213.
[12] Siedliska A, Baranowski P, Zubik M, et al. Postharvest Biology & Technology, 2018, 139: 115.
[13] Zornoza R, Guerrero C, Mataix-Solera J, et al. Soil Biology & Biochemistry, 2008, 40(7): 1923.