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Smartphone-based kanamycin sensing with ratiometric FRET.

Saurabh Umrao1, Anusha S1, Vasundhara Jain1

  • 1Department of Chemical Engineering, Indian Institute of Science Bangalore 560012 India rahulroy@iisc.ac.in +91-80-2360-8121 +91-80-2293-3115 +91-80-2293-3118.

RSC Advances
|May 6, 2022
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Summary
This summary is machine-generated.

This study introduces a smartphone-based biosensor for sensitive kanamycin detection using Förster resonance energy transfer (FRET) and DNA aptamers. The developed kanamycin binding aptamer (KBA) sensor offers rapid, specific, and quantitative on-site analysis.

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Area of Science:

  • Biomedical Engineering
  • Analytical Chemistry
  • Molecular Biology

Background:

  • Smartphone-based fluorescence detection offers potential for on-site biosensing.
  • Quantitative field analysis is hindered by excitation and calibration challenges.
  • Förster resonance energy transfer (FRET) offers a promising approach for sensitive detection.

Purpose of the Study:

  • To develop a rapid and sensitive method for kanamycin detection using smartphone-based fluorescence.
  • To utilize ratiometric analysis with FRET between dye pairs on DNA aptamers for quantitative detection.
  • To enable on-site, specific, and repeatable kanamycin detection in complex matrices like milk.

Main Methods:

  • Developed a FRET-based kanamycin binding aptamer (KBA) sensor utilizing ligand binding-induced aptamer structural changes.
  • Employed ratiometric analysis for quantitative fluorescence detection.
  • Integrated the KBA sensor with a custom-built smartphone setup for field analysis.

Main Results:

  • The KBA sensor demonstrated two linear ranges for kanamycin detection: 0.05–5 nM (LOD 0.18 nM) and 50–900 nM.
  • The aptamer exhibited high specificity, even in the presence of milk background.
  • The smartphone-based FRET aptamer scheme achieved a linear range of 50–500 nM with an LOD of 28 nM.

Conclusions:

  • Ratiometric FRET analysis on DNA aptamers enables rapid, sensitive, and quantitative kanamycin detection.
  • The smartphone-based KBA sensor is suitable for on-site, specific, and repeatable analysis.
  • This approach overcomes limitations of traditional field fluorescence detection methods.