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A Portable Smartphone Platform Using a Ratiometric Fluorescent Paper Strip for Visual Quantitative Sensing.

Suyun Chu1,2, Haiqian Wang3, Xiao Ling3

  • 1Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei 230031, China.

ACS Applied Materials & Interfaces
|February 27, 2020
PubMed
Summary

A 3D-printed smartphone sensor platform enables rapid, instrument-free pesticide detection using a dual-emissive paper strip. This portable device offers visual, quantitative analysis for real-time environmental and safety monitoring.

Keywords:
3D printingfluorescent nanosensorratiometric probesmartphone platformvisual quantitative sensing

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Area of Science:

  • Analytical Chemistry
  • Materials Science
  • Biomedical Engineering

Background:

  • Instrument-free, portable, and direct read-out mini-devices are crucial for real-time, on-site sensing applications.
  • Existing sensing methods often require complex instrumentation, limiting their field applicability.

Purpose of the Study:

  • To develop a 3D-printed smartphone sensing platform for rapid, sensitive, instrument-free, and visual quantitative analysis.
  • To demonstrate the platform's feasibility for pesticide detection using a novel dual-emissive ratiometric paper strip.

Main Methods:

  • A 3D-printed smartphone sensing platform integrating a UV lamp and dark cavity was designed.
  • A dual-emissive ratiometric paper strip was fabricated using red-emitting CdTe quantum dots (rQDs) and blue-emitting carbon dots (bCDs) on silica nanoparticles (SiO2 NPs).
  • Pesticide detection was achieved via a fluorescence "on-off-on" mechanism, with quantification using smartphone color analysis (R/B values).

Main Results:

  • The developed platform enabled visual quantitative detection of pesticides with a low limit of detection (LOD) of 59 nM.
  • The rQDs served as an internal reference, while bCDs acted as a signal reporter, quenched by gold nanoparticles and recovered by pesticide.
  • Smartphone image analysis accurately quantified pesticide levels based on fluorescence intensity ratios.

Conclusions:

  • The 3D-printed smartphone sensing platform offers a general strategy for visual quantitative detection in diverse fields.
  • This portable, instrument-free device facilitates on-site analysis for environmental, diagnostic, and safety monitoring.
  • The dual-emissive ratiometric paper strip approach provides a sensitive and accessible sensing solution.