Citation
Abstract
We used 40 ± 5 nm gold nanoparticles (GNPs) as colorimetric sensor to visually detect swine-specific conserved sequence and nucleotide mismatch in PCR-amplified and non-amplified mitochondrial DNA mixtures to authenticate species. Colloidal GNPs changed color from pinkish-red to gray-purple in 2 mM PBS. Visually observed results were clearly reflected by the dramatic reduction of surface plasmon resonance peak at 530 nm and the appearance of new features in the 620–800 nm regions in their absorption spectra. The particles were stabilized against salt-induced aggregation upon the adsorption of single-stranded DNA. The PCR products, without any additional processing, were hybridized with a 17-base probe prior to exposure to GNPs. At a critical annealing temperature (55 °C) that differentiated matched and mismatched base pairing, the probe was hybridized to pig PCR product and dehybridized from the deer product. The dehybridized probe stuck to GNPs to prevent them from salt-induced aggregation and retained their characteristic red color. Hybridization of a 27-nucleotide probe to swine mitochondrial DNA identified them in pork–venison, pork–shad and venison–shad binary admixtures, eliminating the need of PCR amplification. Thus the assay was applied to authenticate species both in PCR-amplified and non-amplified heterogeneous biological samples. The results were determined visually and validated by absorption spectroscopy. The entire assay (hybridization plus visual detection) was performed in less than 10 min. The LOD (for genomic DNA) of the assay was 6 µg ml − 1 swine DNA in mixed meat samples. We believe the assay can be applied for species assignment in food analysis, mismatch detection in genetic screening and homology studies between closely related species.
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Official URL or Download Paper: http://iopscience.iop.org/article/10.1088/0957-448...
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Additional Metadata
Item Type: | Article |
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Divisions: | Faculty of Agriculture Faculty of Veterinary Medicine Halal Products Research Institute |
DOI Number: | https://doi.org/10.1088/0957-4484/22/19/195503 |
Publisher: | IOP Publishing |
Keywords: | Nanoparticle sensor; Detection |
Depositing User: | Nur Farahin Ramli |
Date Deposited: | 31 Dec 2013 04:40 |
Last Modified: | 25 Aug 2017 10:13 |
Altmetrics: | http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1088/0957-4484/22/19/195503 |
URI: | http://psasir.upm.edu.my/id/eprint/22268 |
Statistic Details: | View Download Statistic |
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