期刊
TALANTA
卷 73, 期 4, 页码 629-634出版社
ELSEVIER
DOI: 10.1016/j.talanta.2007.04.036
关键词
synthetic turbine engine oil; infrared spectroscopy; principal components regression; partial least squares; total acid number; antioxidants; 2D IR correlation spectroscopy
Synthetic turbine oils from military aircraft engines were analysed for antioxidant content and total acid number using infrared (IR) spectroscopy. Two-dimensional IR correlation analysis was employed to investigate and interpret observed trends in the spectra, as acid was formed and antioxidant species were depleted in the oils, as a function of aging and engine wear. Principal components and partial least squares algorithms were used and compared for the development of calibration and prediction models. Transmission IR spectrometry is demonstrated to be effective for the analysis and monitoring of synthetic aviation turbine engine oils and shown to provide rapid and accurate information as compared with traditional analytical techniques and methods. (c) 2007 Elsevier B.V. All rights reserved.
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