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Related Concept Videos

Microbial Biosensors01:17

Microbial Biosensors

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Microbial biosensors are analytical devices that utilize living microbes to detect specific substances through measurable signals. These devices consist of two main components: biosensing organisms and signal-transducing elements. Biosensing organisms, such as Escherichia coli or Saccharomyces cerevisiae, are typically housed in multiwell plates connected to transducers, enabling rapid, real-time detection of target analytes.Signal Generation MechanismWhen a target analyte—such as...
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Related Experiment Video

Updated: Apr 3, 2026

MicroRNA Amplification and Recognition through Locked-nucleic-acid In situ Hybridization as a Novel Detection and Quantification Method
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MicroRNA Amplification and Recognition through Locked-nucleic-acid In situ Hybridization as a Novel Detection and Quantification Method

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Machine learning-assisted biosensor for microRNA analysis based on RCA-mediated hemin/G-quadruplex and

Gan Ning1, Fang Wang1, Ruyan Zhang1

  • 1College of Chemistry and Chemical Engineering, China University of Petroleum (East China), Qingdao 266580, China.

Journal of Colloid and Interface Science
|April 2, 2026
PubMed
Summary

A new label-free fluorescence biosensor uses red-emitting carbon dots and rolling circle amplification for sensitive detection of cancer biomarker miRNA let-7a. This rapid method is promising for early cancer diagnostics, especially in resource-limited settings.

Keywords:
Carbon dotsFluorescenceG-quadruplexRCASensorsmicroRNA

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Area of Science:

  • Biomedical Engineering
  • Analytical Chemistry
  • Molecular Diagnostics

Background:

  • Tumor biomarkers are crucial for early cancer detection.
  • Existing miRNA detection methods often lack speed, user-friendliness, or precision, particularly in resource-limited settings.
  • There is a need for advanced diagnostic tools for early cancer identification.

Purpose of the Study:

  • To develop a novel label-free fluorescence biosensor for ultrasensitive and specific detection of miRNA let-7a.
  • To integrate red-emitting carbon dots (R-CDs) with nicking enzyme-enhanced rolling circle amplification (RCA).
  • To provide a rapid and user-friendly diagnostic tool for early cancer detection.

Main Methods:

  • Synthesis and functionalization of red-emitting carbon dots (R-CDs) with thiol groups.
  • Design of a template strand for G-quadruplex formation, miRNA let-7a complementarity, and nicking enzyme recognition.
  • Initiation of RCA using miRNA let-7a as a primer, followed by nicking enzyme-triggered amplification.
  • Formation of DNAzymes with peroxidase-like activity and subsequent oxidation of R-CDs-SH leading to fluorescence quenching.

Main Results:

  • The developed biosensor demonstrated ultrasensitive detection of miRNA let-7a.
  • An ultralow detection limit of 0.16 fM was achieved.
  • The system successfully integrated R-CDs, a label-free approach, and nicking-enhanced RCA for miRNA identification.

Conclusions:

  • The novel label-free fluorescence biosensor offers a promising platform for early cancer diagnostics.
  • The integration of R-CDs and nicking-enhanced RCA provides a sensitive and specific method for miRNA detection.
  • This technology has the potential to improve cancer diagnosis in resource-limited environments.