| Literature DB >> 28965053 |
Bixia Lin1, Ying Yu2, Yujuan Cao1, Manli Guo1, Debin Zhu1, Jiaxing Dai1, Minshi Zheng1.
Abstract
The rapid detection of antibiotic residual in everyday life is very important for food safety. In order to realize the on-site and visual detection of antibiotic, a POCT method was established by using digital image colorimetry based on smartphone. Streptomycin was taken as the analyte model of antibiotics, streptomycin aptamer preferentially recognized analyte, and the excess aptamer hybridized with the complementary DNA to form the dsDNA. SYBR Green I combined with the dsDNA and then emitted obvious green fluorescence, thus the fluorescence intensity decreased with the increasing of streptomycin concentration. Then a smartphone-based device was constructed as the fluorescence readout. The smartphone camera acquired the images of the fluorescence derived from the samples, and the Touch Color APP installed in smartphone read out the RGB values of the images. There was a linear relationship between the G values and the streptomycin concentrations in the range of 0.1-100µM. The detection limit was 94nM, which was lower than the maximum residue limit defined by World Health Organization. The POCT method was applied for determining streptomycin in chicken and milk samples with recoveries in 94.1-110%. This method had the advantages of good selectivity, simple operation and on-site visualization.Entities:
Keywords: Aptamer recognizing; Fluorescence analysis; On-site visualization; Point-of-care testing; Streptomycin
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Year: 2017 PMID: 28965053 DOI: 10.1016/j.bios.2017.09.028
Source DB: PubMed Journal: Biosens Bioelectron ISSN: 0956-5663 Impact factor: 10.618