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Recognition Engineering-Mediated Multichannel Sensor Array for Gut Microbiota Sensing.

Zhihui Liu1, Xiaohua Zhu1, Qiujun Lu1

  • 1Key Laboratory of Chemical Biology and Traditional Chinese Medicine Research (Ministry of Education), College of Chemistry and Chemical Engineering, Hunan Normal University, Changsha 410081, PR China.

Analytical Chemistry
|March 28, 2023
PubMed
Summary
This summary is machine-generated.

Researchers developed a novel sensor array using antimicrobial agents and MXenes to rapidly distinguish gut bacteria and classify colorectal cancer samples, offering a simple and cost-effective platform for gut microbiota analysis.

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Area of Science:

  • Biotechnology
  • Nanotechnology
  • Microbiology

Background:

  • Gut microbiota composition is vital for health and disease.
  • Accurate analysis of gut bacteria is essential for diagnostics and therapeutics.
  • Current methods for gut microbiota analysis can be time-consuming and complex.

Purpose of the Study:

  • To develop a rapid and robust sensor array for distinguishing gut-derived bacteria.
  • To apply the sensor array for the classification of human colorectal cancer samples.
  • To establish a cost-effective platform for gut microbiota analysis.

Main Methods:

  • A multichannel sensor array was engineered using antimicrobial agent-functionalized gold nanoclusters and gluconamide-modified Ti3C2 MXenes.
  • Synergistic recognition between bacteria and antimicrobial agents enhanced discrimination.
  • The sensor array was used to differentiate five types of gut bacteria and analyze colorectal cancer samples.

Main Results:

  • The sensor array achieved superior fingerprint patterns for distinguishing gut-derived bacteria.
  • Probiotics, neutral, and pathogenic bacteria were clearly differentiated in mixtures.
  • The system accurately classified human colorectal cancer samples from healthy individuals within 30 minutes with high specificity.

Conclusions:

  • The developed sensor array provides a rapid, simple, and economic platform for gut microbiota analysis.
  • This technology enables effective differentiation of gut bacteria and holds potential for clinical diagnostics.
  • The synergistic recognition strategy significantly improves bacterial discrimination ability.