BackgroundPyro-electrohydrodynamic jetting (p-jet) has emerged recently as a promising technique for biosensing applications, through the concentration of highly diluted biomolecules in fluorescent spots at microscale. However, a great challenge still remains in optimizing the binding strategy for the sensing interface, enabling the detection of low abundance proteins through immunofluorescence protocols. Indeed, the surface of reaction can be functionalized with different chemical groups able to bind the target molecule with a strong interaction, prior to the p-jet spots decreasing the possibility to lose sensitivity after the common rinsing steps. ResultsHere, we characterize the immobilization of a model protein, specifically the bovine serum albumin (BSA), in the concentrated p-jet spots to demonstrate the reliability of the technique for highly sensitive immunodetection assays. We first performed spectroscopic measurements on BSA deposited through pipette spots at relatively high concentrations and we achieved a higher efficiency in case of the covalent bond by using the carbonate buffer and the epoxy-based slides. We then tested the covalent setting in case of the p-jet spots with highly diluted samples of pre-labelled BSA. A significant concentration-dependent behavior of the signal was obtained down to picogram levels. Finally, an immunofluorescent protocol was settled with the p-jet spots and a Limit of the Detection (LOD) of 0. 27 pg/mL was reached. SignificanceThe demonstration here that the p-jet spots are compatible with immunodetection procedures and provide a LOD down to 0.27 pg/mL, launches the p-jet technique towards the development in future of a point-of-care (POC) diagnostic tool. This would become a major force in analytical chemical laboratories. The identification of highly diluted biomarkers from peripheral body fluids would help clinicians performing early diagnosis, overcoming the limitations of the traditional immunochemistry tests, such as the enzyme-linked immunosorbent assay (ELISA).
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