Moore, Colin, Giovannini, Giorgia, Kunc, Filip, Hall, Andrew J., Gubala, Vladimir (2017) ‘Overloading’ fluorescent silica nanoparticles with dyes to improve biosensor performance. Journal of Materials Chemistry B, 2017 (5). pp. 5564-5572. ISSN 2050-750X. (doi:10.1039/C7TB01284E) (KAR id:62152)
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Official URL: https://doi.org/10.1039/C7TB01284E |
Abstract
Using dye-doped silica nanoparticles (DSNP) as reporter probes, we describe a simple method of enhancing fluorescent signal and the extension of the detectable target concentration range in a proof-of-concept ‘dissolution immunoassay’. DSNPs were intentionally ‘overloaded’ with 3% (w/w) FITC such that the high concentration of dye inside the NP core induced self-quenching. Despite exhibiting reduced brightness, the ‘overloaded’ DSNPs were then functionalized with anti-human IgG and were subsequently used to detect human IgG, a model biomarker, in whole serum. Following human IgG recognition, the ‘overloaded’ DSNPs were dissolved using pH10.6, 0.1M sodium carbonate-bicarbonate buffer. The large quantity of FITC inside the NP core was consequently released into solution, thus liberating the dyes from self-quenching, and led to a large increase in fluorecein emission intensity. This effect was further enhanced when coupled with FITC’s increased quantum yield in basic conditions. The overall result was a 12-fold enhancement in fluorescent signal intensity and an 11-fold improvement in signal-to-noise ratio after a dissolution time of 60 mins. In the assay setup presented, the net signal-to-noise ratio for ‘overloaded’ DSNPs was up to 9 times greater following degradation compared to traditionally used 1% (w/w) ‘optimal’ dye-loaded DSNPs. Crucially, this ‘dissolution assay’ strategy using ‘overloaded’ DSNPs could confidently detect human IgG at a 10-fold lower concentration than traditionally used ‘optimal’ DSNPs.
Item Type: | Article |
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DOI/Identification number: | 10.1039/C7TB01284E |
Divisions: | Divisions > Division of Natural Sciences > Medway School of Pharmacy |
Depositing User: | Andrew Hall |
Date Deposited: | 27 Jun 2017 10:53 UTC |
Last Modified: | 05 Nov 2024 10:56 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/62152 (The current URI for this page, for reference purposes) |
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