Classification of weathered petroleum oils by multi-way analysis of gas chromatography-mass spectrometry data using PARAFAC2 parallel factor analysis.

[1]  Hua Tang,et al.  A statistical method for chromatographic alignment of LC-MS data. , 2007, Biostatistics.

[2]  Rolf Danielsson,et al.  Rapid multivariate analysis of LC/GC/CE data (single or multiple channel detection) without prior peak alignment , 2006 .

[3]  A. Stegeman Degeneracy in Candecomp/Parafac explained for p × p × 2 arrays of rank p + 1 or higher , 2006 .

[4]  M. Fingas,et al.  Forensic fingerprinting of diamondoids for correlation and differentiation of spilled oil and petroleum products. , 2006, Environmental science & technology.

[5]  B. W. Wright,et al.  Fisher ratio method applied to third-order separation data to identify significant chemical components of metabolite extracts. , 2006, Analytical chemistry.

[6]  Gregory J. Hall,et al.  Chemometric Determination of Target Compounds Used to Fingerprint Unweathered Diesel Fuels , 2006 .

[7]  Kevin J Johnson,et al.  Classification of gasoline data obtained by gas chromatography using a piecewise alignment algorithm combined with feature selection and principal component analysis. , 2005, Journal of chromatography. A.

[8]  Chun Yang,et al.  Characterization, weathering, and application of sesquiterpanes to source identification of spilled lighter petroleum products. , 2005, Environmental science & technology.

[9]  J. Gooding,et al.  Data analysis for chemistry : an introductory guide for students and laboratory scientists , 2005 .

[10]  Giorgio Tomasi,et al.  Integrated methodology for forensic oil spill identification. , 2004, Environmental science & technology.

[11]  David E. Booth,et al.  Chemometrics: Data Analysis for the Laboratory and Chemical Plant , 2004, Technometrics.

[12]  Ralf J. O. Torgrip,et al.  Peak alignment using reduced set mapping , 2003 .

[13]  Edward H. Owens,et al.  The Roles of Photooxidation and Biodegradation in Long-term Weathering of Crude and Heavy Fuel Oils , 2003 .

[14]  Henk A. L. Kiers,et al.  Degenerate solutions obtained from several variants of factor analysis , 2002 .

[15]  K. Markides,et al.  Chromatographic alignment by warping and dynamic programming as a pre-processing tool for PARAFAC modelling of liquid chromatography-mass spectrometry data. , 2002, Journal of chromatography. A.

[16]  Kevin J. Johnson,et al.  Pattern recognition of jet fuels: comprehensive GC×GC with ANOVA-based feature selection and principal component analysis , 2002 .

[17]  Per S. Daling,et al.  Improved and Standardized Methodology for Oil Spill Fingerprinting , 2002 .

[18]  Barry K. Lavine,et al.  Genetic algorithm for fuel spill identification , 2001 .

[19]  D. Massart,et al.  The influence of data pre-processing in the pattern recognition of excipients near-infrared spectra. , 1999, Journal of Pharmaceutical and Biomedical Analysis.

[20]  M. Fingas,et al.  Oil spill identification , 1999 .

[21]  Claus A. Andersson,et al.  PARAFAC2—Part II. Modeling chromatographic data with retention time shifts , 1999 .

[22]  R. Bro,et al.  PARAFAC2—Part I. A direct fitting algorithm for the PARAFAC2 model , 1999 .

[23]  J. Carstensen,et al.  Aligning of single and multiple wavelength chromatographic profiles for chemometric data analysis using correlation optimised warping , 1998 .

[24]  R. Bro PARAFAC. Tutorial and applications , 1997 .

[25]  P. Doumenq,et al.  In vitro photooxidation of crude oil maltenic fractions : Evolution of fossil biomarkers and polycyclic aromatic hydrocarbons , 1996 .

[26]  J. Andersson Polycyclic aromatic sulfur heterocycles III. Photochemical stability of the potential oil pollution markers phenanthrenes and dibenzothiophenes , 1993 .

[27]  Yongguang Yin,et al.  Journal of Chromatography A , 2014 .

[28]  Heng Tao Shen,et al.  Principal Component Analysis , 2009, Encyclopedia of Biometrics.

[29]  J. Albaigés,et al.  Selective Aerobic Degradation of Methyl-Substituted Polycyclic Aromatic Hydrocarbons in Petroleum by Pure Microbial Culturest , 1986 .