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A Systematically Enhanced LAMP Chip for Rapid, Sensitive, and Contamination-Free Pathogen Detection.

Sajid Uchayash1, Jinping Zhao2, Md Iqbal Kabir1

  • 1Department of Electrical and Computer Engineering, Iowa State University, Ames, Iowa 50011, United States.

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PubMed
Summary
This summary is machine-generated.

This study optimized a chip-based loop-mediated isothermal amplification (LAMP) system for rapid and sensitive detection of the plant pathogen Phytophthora infestans. The advanced system enables accurate, field-based diagnostics for improved agricultural disease management.

Keywords:
Isothermal DNA amplificationPhytophthora infestanscarryover contaminationnanopore thin film sensorpathogen detectionprimer immobilization

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Area of Science:

  • Agricultural Science
  • Biotechnology
  • Diagnostics

Background:

  • Molecular diagnostics are crucial for pathogen detection.
  • Chip-based loop-mediated isothermal amplification (LAMP) offers potential for point-of-care diagnostics.
  • Systematic optimization is key for robust LAMP-chip systems.

Purpose of the Study:

  • To develop an advanced chip-based LAMP system for rapid and sensitive detection of Phytophthora infestans.
  • To systematically optimize primer immobilization and reaction conditions for enhanced performance.

Main Methods:

  • Investigated effects of primer concentrations, immobilization ratios, and reaction conditions.
  • Utilized immobilized forward inner primers (FIP) and solution-based backward inner primers (BIP).
  • Employed EDC-NHS chemistry for primer immobilization on anodic aluminum oxide (AAO) nanopore surfaces.

Main Results:

  • Achieved detection of Phytophthora infestans DNA at concentrations as low as 1 fg/μL.
  • Reduced reaction time to under 20 minutes, a 33% improvement over conventional LAMP.
  • Demonstrated minimized carryover contamination through chip-confined amplification.

Conclusions:

  • The optimized LAMP-chip system provides a robust, label-free, and user-friendly solution for plant pathogen diagnostics.
  • Enables accurate and rapid field-based detection, supporting timely disease management.
  • Represents a significant advancement for point-of-care agricultural diagnostics.