This work aims to investigate the
behavior of analytes in complex
mixtures and matrixes with the use of solid-phase microextraction
(SPME). Various factors that influence analyte uptake such as coating
chemistry, extraction mode, the physicochemical properties of analytes,
and matrix complexity were considered. At first, an aqueous system
containing analytes bearing different hydrophobicities, molecular
weights, and chemical functionalities was investigated by using commercially
available liquid and solid porous coatings. The differences in the
mass transfer mechanisms resulted in a more pronounced occurrence
of coating saturation in headspace mode. Contrariwise, direct immersion
extraction minimizes the occurrence of artifacts related to coating
saturation and provides enhanced extraction of polar compounds. In
addition, matrix-compatible PDMS-modified solid coatings, characterized
by a new morphology that avoids coating fouling, were compared to
their nonmodified analogues. The obtained results indicate that PDMS-modified
coatings reduce artifacts associated with coating saturation, even
in headspace mode. This factor, coupled to their matrix compatibility,
make the use of direct SPME very practical as a quantification approach
and the best choice for metabolomics studies where wide coverage is
intended. To further understand the influence on analyte uptake on
a system where additional interactions occur due to matrix components, ex vivo and in vivo sampling conditions
were simulated using a starch matrix model, with the aim of mimicking
plant-derived materials. Our results corroborate the fact that matrix
handling can affect analyte/matrix equilibria, with consequent release
of high concentrations of previously bound hydrophobic compounds,
potentially leading to coating saturation. Direct immersion SPME limited
the occurrence of the artifacts, which confirms the suitability of
SPME for in vivo applications. These findings shed
light into the implementation of in vivo SPME strategies
in quantitative metabolomics studies of complex plant-based systems.