1. Zhejiang Technology Institute of Economy, Hangzhou 310018, China 2. College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310029, China
Abstract：new method was developed to fast discriminate brands of brake fluid by means of visual-near infrared spectroscopy. Five different brands of brake fluid were analyzed using a handheld near infrared spectrograph, manufactured by ASD Company, and 60 samples were gotten from each brand of brake fluid. The samples data were pretreated using average smoothing and standard normal variable method, and then analyzed using principal component analysis (PCA). A 2-dimensional plot was drawn based on the first and the second principal components, and the plot indicated that the clustering characteristic of different brake fluid is distinct. The foregoing 6 principal components were taken as input variable, and the band of brake fluid as output variable to build the discriminate model by stepwise discriminant analysis method. Two hundred twenty five samples selected randomly were used to create the model, and the rest 75 samples to verify the model. The result showed that the distinguishing rate was 94.67%, indicating that the method proposed in this paper has good performance in classification and discrimination. It provides a new way to fast discriminate different brands of brake fluid.
[1] LI Hong-bo(李红波). Equipment for Geophysical Prospecting(物探装备)，2006, 16（4）：292. [2] SUN Yong-tai(孙永泰). Auto Application(汽车运用), 2006, (12): 31. [3] ZHANG Hai-shan(张海山). Road Traffic Management(道路交通管理), 2006, (6): 56. [4] GUO Yi-ming(郭亦明). Petroleum Products Application Research(石油商技), 2005, 23(6): 29. [5] Blanco M, Villarroya I. Trends in Analytical Chemistry, 2002, 21(4): 240. [6] YAN Yan-lu, ZHAO Long-lian, HAN Dong-hai, et al(严衍禄, 赵龙莲, 韩东海, 等). The Foundation of Near Infrared Spectroscopy Its Analysis and Application(近红外光谱分析基础与应用). Beijing: China Light Industry Press(北京: 中国轻工业出版社), 2005. 108. [7] Cen Haiyan, He Yong, Huang Min. Journal of Agricultural and Food Chemistry, 2006, 54(20): 7437. [8] HE Yong, FENG Shui-juan, LI Xiao-li, et al(何 勇, 冯水娟，李晓丽, 等). Spectroscopy and Spectral Analysis（光谱学与光谱分析）, 2006, 26(11): 2021. [9] Fassio A, Cozzolino D. Industrial Crops and Products, 2004, 20：21. [10] SHAO Yong-ni, HE Yong, PAN Jia-zhi, et al(邵咏妮, 何 勇, 潘家志, 等). Spectroscopy and Spectral Analysis（光谱学与光谱分析）, 2007, 27(9): 1739. [11] Cen Haiyan, He Yong, Huang Min. Europen Food Research and Technology, 2007, 225（5-6）：699. [12] HUANG Min, HE Yong, CEN Hai-yan, et al(黄 敏，何 勇，岑海燕, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2007, 27(5): 916. [13] Shao Yongni, He Yong, Wang Yanyan. Europen Food Research and Technology, 2007, 224(5): 591. [14] He Yong, Li Xiao-li, Deng Xun-fei. Journal of Food Engineering, 2007, 79(4): 1238. [15] REN Guang-wei, WANG Feng-long, GAO Han-jie, et al(任广伟，王凤龙，高汉杰, 等). Plant Protection(植物保护)，2004, 30（4）：57.
