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Point-of-care testing for streptomycin based on aptamer recognizing and digital image colorimetry by smartphone.
Lin, Bixia; Yu, Ying; Cao, Yujuan; Guo, Manli; Zhu, Debin; Dai, Jiaxing; Zheng, Minshi.
  • Lin B; School of Chemistry and Environment, Guangzhou Key Laboratory of Analytical Chemistry for Biomedicine, South China Normal University, Guangzhou, China.
  • Yu Y; School of Chemistry and Environment, Guangzhou Key Laboratory of Analytical Chemistry for Biomedicine, South China Normal University, Guangzhou, China. Electronic address: yuyhs@scnu.edu.cn.
  • Cao Y; School of Chemistry and Environment, Guangzhou Key Laboratory of Analytical Chemistry for Biomedicine, South China Normal University, Guangzhou, China.
  • Guo M; School of Chemistry and Environment, Guangzhou Key Laboratory of Analytical Chemistry for Biomedicine, South China Normal University, Guangzhou, China.
  • Zhu D; School of Chemistry and Environment, Guangzhou Key Laboratory of Analytical Chemistry for Biomedicine, South China Normal University, Guangzhou, China.
  • Dai J; School of Chemistry and Environment, Guangzhou Key Laboratory of Analytical Chemistry for Biomedicine, South China Normal University, Guangzhou, China.
  • Zheng M; School of Chemistry and Environment, Guangzhou Key Laboratory of Analytical Chemistry for Biomedicine, South China Normal University, Guangzhou, China.
Biosens Bioelectron ; 100: 482-489, 2018 Feb 15.
Article en En | MEDLINE | ID: mdl-28965053
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.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Estreptomicina / Técnicas Biosensibles / Aptámeros de Nucleótidos / Teléfono Inteligente / Análisis de los Alimentos / Antibacterianos Tipo de estudio: Diagnostic_studies Límite: Animals Idioma: En Año: 2018 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Estreptomicina / Técnicas Biosensibles / Aptámeros de Nucleótidos / Teléfono Inteligente / Análisis de los Alimentos / Antibacterianos Tipo de estudio: Diagnostic_studies Límite: Animals Idioma: En Año: 2018 Tipo del documento: Article