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Designing multilayered nanoplatforms for SERS-based detection of genetically modified organisms

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Abstract

In this study, the multilayered surface-enhanced Raman spectroscopy (SERS) platforms were developed for the analysis of genetically modified organisms (GMOs). For this purpose, two molecules [11-mercaptoundecanoic acid (11-MUA) and 2-mercaptoethylamine (2-MEA)] were attached with Aurod and Auspherical nanoparticles to form multilayered constructions on the gold (Au)slide surface. The best multilayered platform structure was chosen depending on SERS enhancement, and this surface was characterised with atomic force microscopy (AFM) and attenuated total reflectance Fourier transform infrared spectroscopy. After the optimum multilayered SERS platform and nanoparticle interaction was identified, the oligonucleotides on the Aurod nanoparticles and Auslide were combined to determine target concentrations from the 5,5′-dithiobis (2-nitrobenzoic acid) (DTNB) signals using SERS. The correlation between the SERS intensities for DTNB and target concentrations was found to be linear within a range of 10 pM to 1 µM, and with a detection limit of 34 fM. The selectivity and specificity of the developed sandwich assay were tested using negative and positive controls, and nonsense and real sample studies. The obtained results showed that the multilayered SERS sandwich method allows for sensitive, selective, and specific detection of oligonucleotide sequences.

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Acknowledgments

The authors would like to thank Dr. Hande Unsal and Dr. Nihal Aydogan from Hacettepe University, Department of Chemical Engineering for providing AFM images. We also thank to Assoc. Prof. Dr Demet Cetin and Prof. Dr. Zekiye Suludere for TEM measurements.

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Correspondence to Ismail Hakki Boyaci.

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Guest Editors: Mustafa Culha, Rawil F. Fakhrullin, Ratnesh Lal

This article is part of the topical collection on Nanobiotechnology

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Uluok, S., Guven, B., Eksi, H. et al. Designing multilayered nanoplatforms for SERS-based detection of genetically modified organisms. J Nanopart Res 17, 43 (2015). https://doi.org/10.1007/s11051-014-2849-5

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  • DOI: https://doi.org/10.1007/s11051-014-2849-5

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