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Updated: Apr 22, 2026

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High Accurate Micro-Orifice Resistance Assay with Programmable Aggregation-Dispersion Switching Enabled by an

Feng Hong1,2, Liangqiong Ren1,3, Wenshu Zheng4

  • 1State Key Laboratory of Marine Food Processing and Safety Control, Dalian Polytechnic University, Dalian, Liaoning 116034, China.

Analytical Chemistry
|April 20, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces a novel biosensor for rapid and sensitive pathogenic bacteria detection. The micro-orifice resistance biosensor uses a molecular circuit to convert bacterial DNA into a quantifiable electrical signal, enabling quick pathogen analysis.

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Area of Science:

  • Biotechnology
  • Biosensors
  • Molecular Diagnostics

Background:

  • Pathogenic bacterial detection faces challenges in signal amplification and stability.
  • Existing methods often lack sensitivity or are susceptible to environmental interference.

Purpose of the Study:

  • To develop a rapid and sensitive biosensor for pathogenic bacteria detection.
  • To overcome limitations of current detection strategies using a novel molecular circuit approach.

Main Methods:

  • A micro-orifice resistance biosensor was designed utilizing a molecular circuit for aggregation-dispersion switching.
  • A hairpin-free bridge-hybridization chain reaction (nHCR) was employed for signal amplification.
  • The biosensor converts bacterial DNA recognition into quantifiable electrical resistance pulse signatures.

Main Results:

  • The biosensor achieved a limit of detection of 27 CFU/mL for *Listeria monocytogenes* without amplification.
  • The molecular circuit demonstrated robust signal transduction, converting molecular events into electrical signals.
  • Performance was comparable to quantitative PCR in real sample analysis.

Conclusions:

  • The developed biosensor offers a robust and scalable strategy for rapid pathogen analysis.
  • Molecular circuit-programmed dispersion switching provides a novel mechanism for sensitive bacterial detection.
  • This approach enhances signal gain and stability for reliable diagnostics.