Microfluidic and MEMS-Based Biosensing Platforms for Fungal Respiratory Infections in Immunocompromised Patients:

Vasiliki E Georgakopoulou1, Vassiliki C Pitiriga2

  • 1Department of Pathophysiology, Laiko General Hospital, National and Kapodistrian University of Athens, 11527 Athens, Greece.

Biosensors
|May 26, 2026
PubMed

Insights

Advanced biosensing platforms offer rapid, minimally invasive detection of invasive fungal respiratory infections (IFRIs) in immunocompromised patients. These microfluidic and MEMS technologies promise earlier, more precise diagnostics for improved patient outcomes.

Area of Science:

  • Biomedical Engineering
  • Infectious Disease Diagnostics
  • Microfluidics and MEMS

Background:

  • Invasive fungal respiratory infections (IFRIs) are a significant threat to immunocompromised individuals.
  • Current diagnostic methods for IFRIs suffer from limitations including nonspecific symptoms, difficult sample access, and poor test performance.

Purpose of the Study:

  • To review the advancements in microfluidic and MEMS-based biosensing platforms for diagnosing IFRIs.
  • To highlight the potential of these novel technologies in improving early and accurate detection of fungal infections.

Main Methods:

  • Exploration of microfluidic nucleic acid and antigen assays, including CRISPR-enhanced systems.
  • Review of MEMS-based technologies for volatile organic compound analysis and mechanical biosensing.
  • Integration of host response profiling (transcriptomic, proteomic, cytokine signatures) into biosensing platforms.

Main Results:

  • Microfluidic and MEMS platforms enable rapid, minimally invasive, and highly specific detection of fungal pathogens and host responses.
  • These systems offer reduced sample volumes, faster turnaround times, and enhanced analytical sensitivity.
  • Feasibility of integrating host response signatures and real-time monitoring capabilities demonstrated.

Conclusions:

  • Microfluidic and MEMS biosensors represent a promising frontier for the future of IFRI diagnostics.
  • Further research is needed to address challenges like standardization and clinical validation for near-patient deployment.
  • These innovations could lead to earlier, more precise, and personalized interventions for vulnerable patient populations.

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