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Elucidating the nanointerface-enabled enzymatic cascade amplification mechanism for a precise self-powered strategy.

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Summary

This study introduces a novel enzymatic biofuel cell for detecting sugarcane pokkah boeng disease. The portable device uses nanomaterials and molecular design for highly sensitive, accurate, and reliable plant pathogen diagnostics.

Keywords:
Bimetallic CuCo-MOF@C/PDAElectron transferSingle-enzyme architectureThree-mode detection

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Area of Science:

  • Biotechnology and Nanomaterial Engineering
  • Plant Pathology Diagnostics
  • Enzymatic Biosensor Development

Background:

  • Current methods for detecting sugarcane pokkah boeng disease lack portability and are prone to interference.
  • Need for sensitive, reliable, and field-deployable diagnostic tools for plant pathogens.
  • Advancements in nanomaterials and enzymatic biofuel cells offer potential for improved diagnostics.

Purpose of the Study:

  • To develop a portable enzymatic biofuel cell for detecting sugarcane pokkah boeng disease.
  • To engineer a single-enzyme architecture for enhanced specificity and dual amplification.
  • To integrate nanomaterials for improved photothermal conversion and electron transfer.

Main Methods:

  • Designed a single-enzyme architecture utilizing Exo III-mediated molecular circuits for target recycling.
  • Engineered heterostructured MoS2-AuNPs for efficient photothermal conversion (62.71%) and electron transfer.
  • Incorporated bimetallic CuCo-MOF@C/PDA nanocomposites to enhance bioanode activity and system performance.

Main Results:

  • Achieved ultra-low detection limits: 3.42×10⁻¹⁷ M (electrochemical), 1.08×10⁻¹⁷ M (colorimetric), and 1.78×10⁻¹⁵ M (photothermal).
  • Demonstrated high signal fidelity (>96%) after long-term storage and validated in real sugarcane samples (97.3-104.4% recovery).
  • Implemented a mathematical framework for triple-mode agreement, eliminating false positives and ensuring analytical redundancy.

Conclusions:

  • The developed enzymatic biofuel cell redefines portable plant pathogen diagnostics.
  • The platform offers laboratory-grade accuracy in a self-powered, mobile detection system.
  • This work establishes a new paradigm for sensitive and reliable plant disease management.