Nanoengineered capsules for selective SERS analysis of biological samples

Yil-Hwan You; Monika Schechinger; Andrea Locke; Gerard Coté; Mike McShane

doi:10.1117/12.2290572

20 February 2018 Nanoengineered capsules for selective SERS analysis of biological samples

Yil-Hwan You, Monika Schechinger, Andrea Locke, Gerard Coté, Mike McShane

Proceedings Volume 10501, Optical Diagnostics and Sensing XVIII: Toward Point-of-Care Diagnostics; 1050103 (2018) https://doi.org/10.1117/12.2290572
Event: SPIE BiOS, 2018, San Francisco, California, United States

Abstract

Metal nanoparticles conjugated with DNA oligomers have been intensively studied for a variety of applications, including optical diagnostics. Assays based on aggregation of DNA-coated particles in proportion to the concentration of target analyte have not been widely adopted for clinical analysis, however, largely due to the nonspecific responses observed in complex biofluids. While sample pre-preparation such as dialysis is helpful to enable selective sensing, here we sought to prove that assay encapsulation in hollow microcapsules could remove this requirement and thereby facilitate more rapid analysis on complex samples. Gold nanoparticle-based assays were incorporated into capsules comprising polyelectrolyte multilayer (PEMs), and the response to small molecule targets and larger proteins were compared. Gold nanoparticles were able to selectively sense small Raman dyes (Rhodamine 6G) in the presence of large protein molecules (BSA) when encapsulated. A ratiometric based microRNA-17 sensing assay exhibited drastic reduction in response after encapsulation, with statistically-significant relative Raman intensity changes only at a microRNA-17 concentration of 10 nM compared to a range of 0-500 nM for the corresponding solution-phase response.

Citation Download Citation

Yil-Hwan You, Monika Schechinger, Andrea Locke, Gerard Coté, and Mike McShane "Nanoengineered capsules for selective SERS analysis of biological samples", Proc. SPIE 10501, Optical Diagnostics and Sensing XVIII: Toward Point-of-Care Diagnostics, 1050103 (20 February 2018); https://doi.org/10.1117/12.2290572

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