Assessing petroleum oils biodegradation by chemometric analysis of spectroscopic data

被引：33

作者：

Abbas, O. ^{[1
]}

Rebufa, C. ^{[1
]}

Dupuy, N. ^{[1
]}

Permanyer, A. ^{[2
]}

Kister, J. ^{[1
]}

机构：

[1] Univ Paul Cezanne, UMR Syst Chim Complexes 6171, F-13397 Marseille 20, France

[2] Univ Barcelona, Dpt Geoquim Petrol & Prospeccio Geol, E-08028 Barcelona, Spain

来源：

TALANTA | 2008年 / 75卷 / 04期

关键词：

chemometric; biodegradation; Petroleum oils; FTIR; fluorescence; PCA; SIMPLISMA;

D O I：

10.1016/j.talanta.2007.12.027

中图分类号：

O65 [分析化学];

学科分类号：

070302 [分析化学]; 081704 [应用化学];

摘要：

This study was conducted to classify petroleum oils in terms of their biodegradation stage by using spectroscopic analysis associated to chemometric treatments. Principal Component Analysis (PCA) has been applied on infrared and UV fluorescence spectra of Brazilian and Pyrenean oils. For Brazil samples, the method allowed to distinguish the biodegraded oils from the non-affected ones. Pyrenean sampling including oils at different levels, of biodegradation has been chosen to follow their alteration rate. PCA loadings have shown spectral regions which have differentiated oils after biodegradation whereas Simple-to-use Interactive Self-Modelling Mixture Analysis (SIMPLISMA) has permitted to obtain a repartition in terms of components families (saturated, aromatic and polar ones) characterizing chemical composition of oils at different biodegradation degrees. Results are in good agreement with conclusions of usual hydrocarbon biomarker analysis. (c) 2008 Elsevier B.V. All rights reserved.

引用

页码：857 / 871

页数：15

共 46 条

[1]

Application of chemometric methods to synchronous UV fluorescence spectra of petroleum oils [J].

Abbas, O. ;

Rebufa, C. ;

Dupuy, N. ;

Permanyer, A. ;

Kister, J. ;

Azevedo, D. A. .

FUEL, 2006, 85 (17-18) :2653-2661

[2]

Prediction of source rock origin by chemometric analysis of Fourier transform infrared-attenuated total reflectance spectra of oil petroleum: Evaluation of aliphatic and aromatic fractions by self-modeling mixture analysis [J].

Abbas, O ;

Dupuy, N ;

Rebufa, C ;

Vrielynck, L ;

Kister, J ;

Permanyer, A .

APPLIED SPECTROSCOPY, 2006, 60 (03) :304-314

[3]

ABBAS O, 2007, THESE U AIX MARSEILL, V3

[4]

[Anonymous], 1989, MULTIVARIATE CALIBRA

[5]

MICROBIAL-DEGRADATION OF PETROLEUM-HYDROCARBONS - AN ENVIRONMENTAL PERSPECTIVE [J].

ATLAS, RM .

MICROBIOLOGICAL REVIEWS, 1981, 45 (01) :180-209

[6]

Study of biodegradation processes along the Carnaubais trend, Potiguar Basin (Brazil) - Part 1 [J].

Behar, F. ;

Penteado, H. L. de Barros ;

Lorant, F. ;

Budzinski, H. .

ORGANIC GEOCHEMISTRY, 2006, 37 (09) :1042-1051

[7]

APPLICATION OF MULTIVARIATE ANALYSES TO NIR SPECTRA OF GELATINIZED STARCH [J].

BERTRAND, D ;

SCOTTER, CNG .

APPLIED SPECTROSCOPY, 1992, 46 (09) :1420-1425

[8]

Identification and geochemical significance of demethylated highly cyclized regular polyprenoids in oils and source rocks [J].

Charrie-Duhaut, A. ;

Grosjean, E. ;

Adam, P. ;

Schaeffer, P. ;

Trendel, J. ;

Dessort, D. ;

Connan, J. ;

Albrecht, P. .

ORGANIC GEOCHEMISTRY, 2007, 38 (09) :1501-1515

[9]

Practical aspects of chemometrics for oil spill fingerprinting [J].

Christensen, Jan H. ;

Tomasi, Giorgio .

JOURNAL OF CHROMATOGRAPHY A, 2007, 1169 (1-2) :1-22

[10]

Multivariate statistical methods for evaluating biodegradation of mineral oil [J].

Christensen, JH ;

Hansen, AB ;

Karlson, U ;

Mortensen, J ;

Andersen, O .

JOURNAL OF CHROMATOGRAPHY A, 2005, 1090 (1-2) :133-145

← 1 2 3 4 5 →