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March 7, 2026ACS Sensors2 citations

Electrochemical Aptasensing Platform for Culture-Free, Selective Detection of Airborne Bacterial Species

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SNSanghyeon NohCJCheulmin JoeHKHye Ri Kim

Key Points

  • The research aims to develop a culture-free electrochemical aptasensor for rapid detection of airborne bacteria.
  • Utilized next-generation sequencing to identify Moraxella osloensis as a target species.
  • Developed a high-affinity aptamer and immobilized it on gold electrodes.
  • Employed electrochemical impedance spectroscopy to assess detection capabilities.
  • Achieved a detection limit of 5.6 CFU/μL, indicating near single-cell sensitivity.
  • Demonstrated log-linear quantification with an R² value of 0.98.
  • Effectively distinguished M. osloensis from six nontarget species in complex conditions.

Abstract

Current culture-based bioaerosol monitoring fails to provide the species-specificity and real-time capabilities essential for indoor air quality and disease surveillance. We developed a culture-free electrochemical aptasensor for rapid, species-specific detection of airborne bacteria. Targeting Moraxella osloensis, a prevalent indoor species identified through next-generation sequencing, we generated a high-affinity aptamer (Kd = 118.9 nM) for M. osloensis and immobilized it on screen-printed gold electrodes. The label-free electrochemical impedance spectroscopy-based sensor achieved near single-cell sensitivity (5.6 CFU/μL detection limit), log-linear quantification (R2 = 0.98), and robust selectivity against six nontarget species, maintaining stability under PM2.5-equivalent dust loads (15-75 μg/m3). In aerosol chamber tests, the sensor successfully quantified airborne M. osloensis with signals correlating to delivered cell numbers and plate counts, demonstrating specificity even in complex microbial and dust conditions. This platform reduces detection time from days to minutes, enabling multiplexed, field-deployable bioaerosol surveillance for indoor air quality and infectious disease monitoring.

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Cite This Study

Noh et al. (2026) studied this question.

synapsesocial.com/papers/69abc1e85af8044f7a4eaf47https://doi.org/10.1021/acssensors.5c03424
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