Lectin-functionalized silver nanoparticles have been successfully designed for use as molecular imaging agents to investigate carbohydrate-lectin interactions at the surface of mammalian cells, using surface-enhanced Raman scattering (SERS). Carbohydrate-lectin interactions are key to many cellular processes and are responsible for controlling an array of cellular interactions. In this study, lectin-functionalized silver nanoparticles were used to detect the expression of carbohydrate species at the cellular interface. The carbohydrate-lectin interactions were demonstrated using three different lectin species for three distinct cell types. Due to the known difference between the expressions of glycans in cancerous versus noncancerous cells of the same origin, this approach has been expanded to study both cancerous and noncancerous prostate cells. This has been achieved via confocal SERS mapping of the expression of the key glycan, sialic acid, on the surface of each of these cell types. In achieving such discrimination, a novel method has been created by which glycan expression can be reproducibly monitored. Comparative studies were performed using both fluorescence and SERS. SERS provided an increased discrimination over fluorescence when analyzing cell subsets to discriminate between cancerous and noncancerous cells. The success of this method means that it could be used to complement the current gold standard histopathological techniques.

An on/off SERS aggregation system has been designed to investigate carbohydrate-lectin interactions. Detection of the lectin ConA was achieved at pico molar levels. Discrimination was also demonstrated between two different carbohydrate moieties demonstrating the specific interaction between the carbohydrate and specific protein present.

Cholera toxin B subunit (CTB) is detected sensitively in samples of synthetic freshwater by measuring changes in the SERS intensity of the glyconanoparticles upon their binding of CTB and subsequently aggregating. The particles are coated in both galactose and sialic acid.

Fluorescent glucose sensing technologies have been identified as possible alternatives to current continuous glucose monitoring approaches. We have recently introduced a new, smart fluorescent ligand to overcome the traditional problems of ConA-based glucose sensors. For this assay to be translated into a continuous glucose monitoring device where both components are free in solution, the molecular weight of the smart fluorescent ligand must be increased. We have identified ovalbumin as a naturally-occurring glycoprotein that could serve as the core-component of a 2nd generation smart fluorescent ligand. It has a single asparagine residue that is capable of displaying an N-linked glycan and a similar isoelectric point to ConA. Thus, binding between ConA and ovalbumin can potentially be monovalent and sugar specific. This work is the preliminary implementation of fluorescently-labeled ovalbumin in the ConA-based assay. We conjugate the red-emitting, long-lifetime azadioxatriangulenium (ADOTA+) dye to ovalbumin, as ADOTA have many advantageous properties to track the equilibrium binding of the assay. The ADOTA-labeled ovalbumin is paired with Alexa Fluor 647-labeled ConA to create a Förster Resonance Energy Transfer (FRET) assay that is glucose dependent. The assay responds across the physiologically relevant glucose range (0-500 mg/dL) with increasing intensity from the ADOTA-ovalbumin, showing that the strategy may allow for the translation of the smart fluorescent ligand concept into a continuous glucose monitoring device