Glycosylation is the enzymatic process of covalently adding carbohydrate molecules onto proteins andlipids, primarily as a post-translational modification. This modification occurs in approximately 70% ofthe proteins in human serum, playing a crucial role in various biological functions, such as properprotein folding, cellular interactions, and signal transduction. The process is regulated by a well-conserved array of enzymes, whose behavior can be significantly dysregulated by changes inenvironmental conditions, leading to the synthesis of altered glycosylation patterns. These abnormalpatterns are often associated with pathological conditions, making them valuable biomarkers fordisease diagnosis and monitoring. Conventional methodologies for glycoprofiling frequently requirespecialized and expensive pre-treatment protocols prior to sample analysis followed by glycanseparation, sometimes lacking specific recognition molecules or suffering from cross-reactions. Toaddress this limitation, this thesis tackles different nanotechnology-based approaches involving the useof nanoparticles to enhance the detection of glycan profiles via surface-enhanced Raman scattering(SERS). SERS has been developed during the past 50 years as a versatile technique in the biologicalsensing and imaging fields, offering high sensitivity as well as robust multiplexing capabilities and long-term signal stability. Finally, this thesis also delves, though in a preliminary manner, into the use ofglycan moieties as vectorization molecules. By functionalizing gold nanoparticles with specific glycans,we intended to take advantage of its strong interaction with the asyaloprotein receptor (ASGPR),primarily expressed in hepatocytes, directing the new nanocarriers to be internalized, preferably in theliver.