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January 25, 2026Micromachines2 citationsOpen Access

A Portable Extended-Gate FET Integrated Sensing System with Low-Noise Current Readout for On-Site Detection of Escherichia coli O157:H7

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WGW H GuoYHY F HuYCYunchao Cao

Key Points

  • The aim is to develop a portable FET sensing system for real-time detection of Escherichia coli O157:H7.
  • Developed a portable EG-FET integrated sensing system.
  • Utilized a screen-printed Au extended-gate electrode coupled to a MOSFET.
  • Implemented low-noise signal conditioning and microcontroller-based digitization.
  • Created a bacteria-specific immunosensing interface with monoclonal antibodies.
  • Achieved linear calibration of current response over 104–1010 CFU/mL.
  • Max interference response of only 13% against common foodborne pathogens with statistical significance (p < 0.001).

Abstract

Field-effect transistor (FET) biosensors enable label-free and real-time electrical transduction; however, their practical deployment is often constrained by the need for bulky benchtop instrumentation to provide stable biasing, low-noise readout, and data processing. Here, we report a portable extended-gate FET (EG-FET) integrated sensing system that consolidates the sensing interface, analog front-end conditioning, embedded acquisition/control, and user-side visualization into an end-to-end prototype suitable for on-site operation. The system couples a screen-printed Au extended-gate electrode to a MOSFET and employs a low-noise signal-conditioning chain with microcontroller-based digitization and real-time data streaming to a host graphical interface. As a proof-of-concept, enterohemorrhagic Escherichia coli O157:H7 was selected as the target. A bacteria-specific immunosensing interface was constructed on the Au extended gate via covalent immobilization of monoclonal antibodies. Measurements in buffered samples produced concentration-dependent current responses, and a linear calibration was experimentally validated over 104–1010 CFU/mL. In specificity evaluation against three common foodborne pathogens (Staphylococcus aureus, Salmonella typhimurium, and Listeria monocytogenes), the sensor showed a maximum interference response of only 13% relative to the target signal (ΔI/ΔImax) with statistical significance (p < 0.001). Our work establishes a practical hardware–software architecture that mitigates reliance on benchtop instruments and provides a scalable route toward portable EG-FET sensing for rapid, point-of-need detection of foodborne pathogens and other biomarkers.

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Cite This Study

Guo et al. (2026) studied this question.

synapsesocial.com/papers/6975b4fd5a65d392b01e5bd8https://doi.org/10.3390/mi17020151
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