Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/66779
Title: Quality characterisation of crude oils by partial least square calibration of NIR spectral profiles
Authors: Hidajat, K. 
Chong, S.M.
Keywords: ASTM
Chemometrics
Crude oils
Density
Multivariate calibration
Near infrared spectroscopy
True boiling point
Issue Date: 2000
Source: Hidajat, K.,Chong, S.M. (2000). Quality characterisation of crude oils by partial least square calibration of NIR spectral profiles. Journal of Near Infrared Spectroscopy 8 (1) : 53-59. ScholarBank@NUS Repository.
Abstract: The correlation of near infrared (NIR) spectral profiles of crude oils with total boiling point (TBP) assay and density has been studied. Fourteen partial least square (PLS) models were calibrated by a training set of 110 samples. The developed NIR methods have reproducibility limits equivalent to the American Society for Testing and Materials (ASTM) reference procedures. Predictive accuracy of the models was estimated from the root mean square error of prediction (RMSEP) using cross validation. The correlation coefficients were better than 0.98 in these calibrations indicating good model structure. Such a rapid, reliable and inexpensive quantitative method, which is sufficient to assess the potential quality of the crude oil, especially the product yield, is essential in today's competitive refining environment.
Source Title: Journal of Near Infrared Spectroscopy
URI: http://scholarbank.nus.edu.sg/handle/10635/66779
ISSN: 09670335
Appears in Collections:Staff Publications

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