The EI library in London is temporarily closed, as a precautionary measure in light of the ongoing COVID-19 situation. The Knowledge Service will still be answering email queries via, and is available for live chats on this page during working hours (09:15-17:00 GMT). Our e-library is always open for members here:, for full-text access to over 200 e-books and millions of articles. We are sorry for any inconvenience.

Quality control of jet fuels---PLS regression analysis of gas chromatographic and i.r. spectroscopic data. (In German). K. Seinsche, F. Luigart and P. Bartl. Erdol Erdgas Kohle, June 1996, 112(6), 261--263.

Details are presented of multivariate regression analysis of gas chromatographic and i.r. spectroscopic data to predict important properties of aviation turbine fuels (kerosene type). In the two-step approach described a calibration model is established by correlating analysis data of a representative set of samples with their experimentally determined properties and then applied to unknowns. It is shown that this enables the flash point, freezing point, density, viscosity, aniline point and aromatics to be predicted at adequate confidence levels, involving a minimum of manual work and time. 23 refs.

Abstract details

Please login to save this item