101. Rapid determination of acid number in used aviation lubricating oil by FTIR spectrometry combined chemometrics.
- Author
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Wang Juxiang, Xing Zhina, and Shen Gang
- Subjects
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LUBRICATING oils , *FOURIER transform infrared spectroscopy , *CHEMOMETRICS , *BACK propagation , *ARTIFICIAL neural networks , *LEAST squares - Abstract
The method of acid number determination in used aviation lubricating oil by fourier transform infrared (FTIR) spectrometry was studied. Infrared spectra was pretreated by S-G smoothing and the first derivative, and the respective wave number of 19 point and 17 point were selected respectively. After analyzing the spectral absorption of acid radical and comparing the spectra of new oil and used ones, wave number ranges of 3 597~3 202 cm-1, 2 600~2 250 cm-1 and 920~800 cm-1 were selected to establish model. Calibration model was built with chemometrics methods of partial least square (PLS) and back propagation-artificial neural network (BPANN) respectively. Standard deviation of calibration(SEC) of PLS model was 0. 004, and standard deviation of prediction (SEP) was 0. 005. The accuracy of the model was validated by means of t-test (α = 0.05), and the result of t-test showed that acid number of used aviation lubricating oil could be determined quickly by FTIR spectrometry with advantages of high accuracy and nopollution. [ABSTRACT FROM AUTHOR]
- Published
- 2014
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