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Updated: Sep 17, 2025

Author Spotlight: Engineering Molecular Tools for Disease Detection and Imaging
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DNA-Mediated Bioinspired MXene Gas Sensor Array with Machine Learning for Noninvasive Cancer Recognition.

Shanshan Liu1,2,3,4, Nanlin Hu5, Jiawang Hu2,3,4

  • 1Key Laboratory of Molecular Medicine and Biotherapy, Aerospace Center Hospital, School of Life Science, Beijing Institute of Technology, Beijing 100081, China.

ACS Nano
|June 28, 2025
PubMed
Summary
This summary is machine-generated.

This study created a novel bioinspired biosensor array (BBA) using DNA-programmed MXene for noninvasive disease detection. The BBA successfully identified cancer patients from breath samples with high accuracy, offering a new diagnostic tool.

Keywords:
DNA/MXene biocompositebiosensor arraygas sensingmachine learningnoninvasive cancer recognition

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Area of Science:

  • Materials Science
  • Biotechnology
  • Nanotechnology

Background:

  • Noninvasive odor sensing is crucial for environmental monitoring and medical diagnosis.
  • MXene materials offer unique sensing properties but lack specificity for gas recognition.
  • Biological olfactory receptors provide a model for specific molecular recognition.

Purpose of the Study:

  • To develop a bioinspired biosensor array (BBA) for specific gas detection by programming MXene interfaces with DNA.
  • To mimic biological olfactory receptors for enhanced molecular recognition.
  • To apply the BBA for noninvasive identification of cancer patients using exhaled breath samples.

Main Methods:

  • Programming MXene sensing interfaces with DNA base sequences of varying lengths, types, and modifications.
  • Developing a Six-channel bioinspired biosensor Array (6C-BBA) using five DNA/MXene composites and pure MXene.
  • Utilizing machine learning algorithms, specifically a neural network, for data analysis and pattern recognition.
  • Validating the 6C-BBA with real odor molecules and subsequently with breath samples from different patient groups.

Main Results:

  • Five DNA/MXene composite biosensing materials with excellent sensing properties were obtained through orthogonal experiments.
  • The 6C-BBA demonstrated preliminary identification of fruit odor molecules.
  • The 6C-BBA achieved high accuracy in detecting cancer biomarkers in breath samples: 86.3% for stomach cancer, 94.1% for lung cancer, and 89.5% for intestinal cancer.
  • The array also showed 86.3% accuracy for healthy individuals.

Conclusions:

  • The developed DNA/MXene bioinspired biosensor array offers a specific and effective method for advanced biosensor development.
  • This technology shows significant potential for the early, noninvasive recognition of diseases like cancer through breath analysis.
  • The study highlights the successful integration of materials science, nanotechnology, and machine learning for biomedical applications.