Literature DB >> 28965053

Point-of-care testing for streptomycin based on aptamer recognizing and digital image colorimetry by smartphone.

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.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Aptamer recognizing; Fluorescence analysis; On-site visualization; Point-of-care testing; Streptomycin

Mesh:

Substances:

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


  9 in total

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Authors:  Bixia Lin; Tingyun Zhang; Xiaolan Xin; Duo Wu; Yan Huang; Yawen Liu; Yujuan Cao; Manli Guo; Ying Yu
Journal:  Mikrochim Acta       Date:  2019-06-13       Impact factor: 5.833

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Journal:  Anal Bioanal Chem       Date:  2021-09-06       Impact factor: 4.142

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Review 4.  Aptamer-Based Biosensors for Antibiotic Detection: A Review.

Authors:  Asol Mehlhorn; Parvaneh Rahimi; Yvonne Joseph
Journal:  Biosensors (Basel)       Date:  2018-06-11

Review 5.  Applications of Smartphone-Based Aptasensor for Diverse Targets Detection.

Authors:  Ying Lan; Baixun He; Cherie S Tan; Dong Ming
Journal:  Biosensors (Basel)       Date:  2022-06-30

6.  Density-adjusted liquid-phase microextraction with smartphone digital image colorimetry to determine parathion-methyl in water, fruit juice, vinegar, and fermented liquor.

Authors:  Xinyuan Bi; Haijuan Jiang; Xingle Guo; Min Wang; Yu Niu; Liyan Jia; Xu Jing
Journal:  RSC Adv       Date:  2022-06-21       Impact factor: 4.036

7.  An aptasensor for ampicillin detection in milk by fluorescence resonance energy transfer between upconversion nanoparticles and Au nanoparticles.

Authors:  Chong Chen; Hong Lei; Nan Liu; Hui Yan
Journal:  Food Chem X       Date:  2022-09-06

8.  A Smartphone Camera Colorimetric Assay of Acetylcholinesterase and Butyrylcholinesterase Activity.

Authors:  Miroslav Pohanka; Jitka Zakova
Journal:  Sensors (Basel)       Date:  2021-03-05       Impact factor: 3.576

9.  Label-free Electrochemical Impedance Spectroscopy Aptasensor for Ultrasensitive Detection of Lung Cancer Biomarker Carcinoembryonic Antigen.

Authors:  Yawei Wang; Lei Chen; Tiantian Xuan; Jian Wang; Xiuwen Wang
Journal:  Front Chem       Date:  2021-07-19       Impact factor: 5.221

  9 in total

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