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March 12, 2026

DNA-Logic Trimodal Biofuel Cell Platform for AI-Assisted Dual Pathogen Detection.

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Authors

TWTao WenCJChenchen JinHCHaiyan Chen

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Overview

Demonstrates the rapid detection of dual pathogens in sugarcane, implying a new approach for field diagnostics.

Key Points

  • The aim is to develop a portable biosensing platform for the simultaneous detection of two sugarcane pathogens.
  • Integrated electrochemical, colorimetric, and photothermal signal detection.
  • Used a smartphone interface for operation.
  • Implemented DNA logic circuits for specific pathogen detection.
  • Employs a machine learning-assisted model for signal processing.
  • Smut detection model achieved an R² value of 0.982.
  • Pokkah boeng model demonstrated perfect accuracy with R² = 1.000.
  • Detection limits as low as 3.7 × 10^-16 M for smut and 2.3 × 10^-16 M for pokkah boeng.
  • Validation with field samples showed high consistency with standard qPCR assays.

Cite This Study

Wen et al. (2026) studied this question.

synapsesocial.com/papers/69b25be596eeacc4fceca4a1https://doi.org/10.1021/acssensors.5c03730
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