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Related Experiment Video

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Bacterial Detection & Identification Using Electrochemical Sensors
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One-component dual-mode sensor array for identification and quantification of biothiols.

Yuanna Ning1, Yongbo Wang1, Shaojie Wang2

  • 1School of Biological and Pharmaceutical Sciences, Shaanxi University of Science and Technology, Xi'an 710021, PR China.

Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy
|December 8, 2024
PubMed
Summary
This summary is machine-generated.

A novel one-component sensor array using carbon dots and silver nanoparticles enables rapid, accurate identification and quantification of biothiols. This dual-mode system offers a cost-effective tool for disease diagnosis using smartphone colorimetry.

Keywords:
Ag nanoparticlesBiothiolsCarbon dotsDual modeSensor array

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Area of Science:

  • Analytical Chemistry
  • Biomedical Sensing
  • Nanomaterials

Background:

  • Biothiol analysis is crucial for health assessment and early disease detection.
  • Existing methods for biothiol identification and quantification face challenges in simplicity and speed due to similar molecular structures.
  • Colorimetric sensor array techniques offer a promising solution for rapid biothiol detection.

Purpose of the Study:

  • To design and develop a novel one-component, dual-mode sensor array for the identification and quantification of biothiols.
  • To leverage the inner filter effect (IFE) and differential binding affinities for selective biothiol detection.
  • To demonstrate the practical application of the sensor array in analyzing biothiols in biological samples like serum.

Main Methods:

  • Fabrication of a sensor system integrating carbon dots (CDs) and silver nanoparticles (AgNPs).
  • Utilizing the inner filter effect (IFE) between CDs and AgNPs, leading to fluorescence quenching.
  • Exploiting the varying fluorescence recovery and absorbance changes upon biothiol binding to AgNPs for signal generation.
  • Employing RGB-based smartphone colorimetry for rapid quantification of biothiols in serum samples.

Main Results:

  • The developed CDs-AgNPs system exhibited dual-mode responses (fluorescence and absorbance) for biothiol detection.
  • The sensor array achieved 100% accuracy in identifying individual biothiols and their mixtures.
  • Successful rapid quantification of biothiols in serum samples was demonstrated using smartphone colorimetry.
  • The system showed varying degrees of fluorescence recovery based on the binding constants of different biothiols to AgNPs.

Conclusions:

  • A cost-effective and time-efficient one-component, dual-mode sensor array was successfully developed for biothiol analysis.
  • The sensor array provides a powerful tool for accurate identification and quantification of various biothiols.
  • The integration with smartphone colorimetry highlights significant potential for practical applications in disease diagnosis.