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Microbial Biosensors

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Microbial biosensors are analytical devices that utilize living microbes to detect specific substances through measurable signals. These devices consist of two main components: biosensing organisms and signal-transducing elements. Biosensing organisms, such as Escherichia coli or Saccharomyces cerevisiae, are typically housed in multiwell plates connected to transducers, enabling rapid, real-time detection of target analytes.Signal Generation MechanismWhen a target analyte—such as...

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Why Sensors Fail in Biological Samples: Fouling, Blocking, Matrix Effects and Prevention Solutions.

Nikola Lenar¹, Beata Paczosa-Bator¹

¹Faculty of Materials Science and Ceramics, AGH University of Krakow, Mickiewicza 30, PL-30059 Krakow, Poland.

International Journal of Molecular Sciences

|June 26, 2026

Summary

Sensor performance in complex biological fluids is hindered by fouling and interference. This review details causes, impacts, and practical strategies like advanced coatings and AI correction to improve sensor stability and reliability for point-of-care diagnostics.

Keywords:

antifouling coatings biofouling biomarker detection biosensors chemical sensors drift compensation matrix effects nonspecific adsorption

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Area of Science:

Biomedical Engineering
Analytical Chemistry
Materials Science

Background:

Biosensors for biomarker detection in biological samples face performance degradation due to surface fouling, interface blocking, and matrix interference.
These issues are interconnected in complex media like serum, plasma, and blood, impacting analytical reliability and sensor lifespan.
Understanding these phenomena is crucial for developing robust diagnostic tools.

Purpose of the Study:

To provide a mechanism-oriented overview of interface failure processes in biosensors.
To compare the impact of these phenomena across various sensing platforms.
To highlight practical prevention and correction strategies for enhancing sensor stability in biological fluids.

Main Methods:

Review of molecular origins of interface failure, including protein adsorption, nonspecific binding, and interferents.
Comparative analysis of interference effects on electrochemical, optical, and wearable biosensor platforms.
Compilation and discussion of prevention strategies such as antifouling coatings, blocking agents, and AI-assisted drift correction.

Main Results:

Identified interconnected processes causing signal drift, reduced sensitivity, and false positives in biosensors.
Demonstrated the impact of fouling and interference across diverse sensing technologies.
Cataloged effective strategies including advanced material interfaces and algorithmic corrections for improved sensor performance.

Conclusions:

Interface instability is a primary challenge for reliable biomarker detection in complex biological samples.
A combination of materials engineering, surface chemistry, sample handling, and algorithmic approaches can significantly improve sensor stability.
This review offers a guide for developing next-generation, low-fouling, drift-resistant biosensors for point-of-care applications.