TY - JOUR
T1 - Chemometric analysis of gas chromatography with flame ionisation detection chromatograms
T2 - a novel method for classification of petroleum products
AU - Nielsen, Nikoline Juul
AU - Ballabio, D.
AU - Tomasi, G.
AU - Todeschini, R.
AU - Christensen, Jan H.
PY - 2012/5/18
Y1 - 2012/5/18
N2 - Most oil characterisation procedures are time consuming, labour intensive and utilise only part of the acquired chemical information. Oil spill fingerprinting with multivariate data processing represents a fast and objective evaluation procedure, where the entire chromatographic profile is used. Methods for oil classification should be robust towards changes imposed on the spill fingerprint by short-term weathering, i.e. dissolution and evaporation processes in the hours following a spill. We propose a methodology for the classification of petroleum products. The method consists of: chemical analysis; data clean-up by baseline removal, retention time alignment and normalisation; recognition of oil type by classification followed by initial source characterisation. A classification model based on principal components and quadratic discrimination robust towards the effect of short-term weathering was established. The method was tested successfully on real spill and source samples.
AB - Most oil characterisation procedures are time consuming, labour intensive and utilise only part of the acquired chemical information. Oil spill fingerprinting with multivariate data processing represents a fast and objective evaluation procedure, where the entire chromatographic profile is used. Methods for oil classification should be robust towards changes imposed on the spill fingerprint by short-term weathering, i.e. dissolution and evaporation processes in the hours following a spill. We propose a methodology for the classification of petroleum products. The method consists of: chemical analysis; data clean-up by baseline removal, retention time alignment and normalisation; recognition of oil type by classification followed by initial source characterisation. A classification model based on principal components and quadratic discrimination robust towards the effect of short-term weathering was established. The method was tested successfully on real spill and source samples.
U2 - 10.1016/j.chroma.2012.03.062
DO - 10.1016/j.chroma.2012.03.062
M3 - Journal article
C2 - 22503620
SN - 0021-9673
VL - 1238
SP - 121
EP - 127
JO - Journal of Chromatography A
JF - Journal of Chromatography A
ER -