HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Journal articles

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

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.
Document type :
Journal articles
Complete list of metadata

Contributor : Nadine Couëdel Connect in order to contact the contributor
Submitted on : Wednesday, January 9, 2019 - 5:58:30 PM
Last modification on : Thursday, February 7, 2019 - 3:32:40 PM





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⟩



Record views