In recent years, various alternatives to fossil fuels
have been
developed. One of them involves the production of bio-oils from lignocellulosic-based
biomass through pyrolysis. However, bio-oils present numerous heteroatoms
and, in particular, oxygen atoms that need to be removed by an upgrading
process. To optimize these processes, it is necessary to have good
knowledge of the composition of the bio-oils at the molecular level.
This work aims to establish the usefulness of laser desorption ionization
(LDI) and matrix-assisted laser desorption/ionization (MALDI) techniques
on lignocellulosic biomass-based bio-oils. Using a Fourier transform
ion cyclotron mass spectrometer (FTICR MS), we showed that MALDI gives
more information than LDI. The selectivity of a series of MALDI matrices
was investigated, showing that some matrices are selective toward
compound families and others ionize a wider range of compounds. In
this study, nine proton-transfer matrices and three electron-transfer
matrices were used and compared to results obtained in LDI. Dithranol,
acetosyringone, and graphene oxide were the three promising matrices
selected from all matrices, giving an overall characterization of
oxygenated classes in a bio-oil. They allowed the ionization of many
more species covering a wide range of polarity, aromaticity, and mass
with a homogeneous relative intensity for all molecular classes such
as lignin-derivative species, sugars, and lipid-derivative species.