Centrifugal partition chromatography a first dimension for biomass fast pyrolysis oil analysis

Agnès Le Masle 1 Sandra Santin 1 Léa Marlot 1 Ludovic Chahen 1 Nadège Charon 1
1 IFPEN - IFP Energies nouvelles
Abstract : Biomass fast pyrolysis oils contain molecules having a large variety of chemical functions and a wide range of molecular weights (from several tens to several thousand grams per mole). The good knowledge of their complex composition is essential for optimizing the conversion of bio-oils to biofuels, thereby requiring powerful separation techniques. In this work, we investigate the interest of centrifugal partition chromatography (CPC) as a first dimension for the analysis of a bio-oil. A CPC method is proposed to separate oxygen containing compounds according to their partition coefficients in the solvent system. This approach is a powerful and easy-to-use technique that enables fractionation of a bio-oil at a semi-preparative scale, without any sample loss related to adsorption on the stationary phase. Collected fractions are then injected in liquid chromatography as a second dimension of separation. Contour plot representations of the CPC × LC separation are established to discuss the potential of this approach. These representations can be used as a veritable fingerprint in the comparison of different samples or samples at different steps of a conversion process but also as a powerful tool to identify new compounds and describe the entire composition of the bio-oil.
Keywords : Comprehensive off-line CPC×LC CPC Centrifugal partition chromatography Bio-oil Fast pyrolysis Lignocellulosic biomass
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Journal articles
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https://hal-ifp.archives-ouvertes.fr/hal-01976117
Contributor : Nadine Couëdel <>
Submitted on : Wednesday, January 9, 2019 - 5:58:30 PM
Last modification on : Thursday, February 7, 2019 - 3:32:40 PM

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Agnès Le Masle, Sandra Santin, Léa Marlot, Ludovic Chahen, Nadège Charon. Centrifugal partition chromatography a first dimension for biomass fast pyrolysis oil analysis. Analytica Chimica Acta, Elsevier Masson, 2018, 1029, pp.116-124. ⟨10.1016/j.aca.2018.04.040⟩. ⟨hal-01976117⟩

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