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Microbial Biosensors

Microbial Biosensors

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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Related Experiment Video

Updated: Mar 29, 2026

Dry Film Photoresist-based Electrochemical Microfluidic Biosensor Platform: Device Fabrication, On-chip Assay Preparation, and System Operation

Dry Film Photoresist-based Electrochemical Microfluidic Biosensor Platform: Device Fabrication, On-chip Assay Preparation, and System Operation

Published on: September 19, 2017

Cell-Based Immuno-Biosensors Using Microfluidics.

Briggs Pugner¹, Erik Petersson¹, Seedahmed Ahmed¹

¹Department of Engineering, University of Maryland Eastern Shore, Princess Anne, MD 21853, USA.

Sensors (Basel, Switzerland)

|March 28, 2026

Summary

This summary is machine-generated.

Novel cell-based immuno-biosensors offer real-time immune response analysis. Integrating microfluidics and advanced techniques, these biosensors provide sensitive, label-free detection for potential point-of-care diagnostics.

Keywords:

immuno-biosensor machine learning microfluidics point-of-care

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Area of Science:

Biomedical Engineering
Immunology
Biosensor Technology

Background:

Cell-based immuno-biosensors offer real-time immune response monitoring.
They utilize living immune cells for sensitive, label-free detection of biomarkers.
Integration with microfluidics enhances control and enables portable systems.

Purpose of the Study:

To review recent advancements in microfluidic cell-based immuno-biosensing.
To highlight the application of these biosensors with various immune cells.
To discuss challenges and future directions for clinical translation.

Main Methods:

Review of literature on microfluidic cell-based immuno-biosensing.
Focus on immune cells like neutrophils, macrophages, T cells, and dendritic cells.
Integration with advanced imaging, electrical impedance sensing, and machine learning.

Main Results:

Significant progress in developing sensitive and label-free immuno-biosensing platforms.
Demonstrated utility in studying immune cell behavior and biomarker detection.
Emerging applications in high-throughput screening and point-of-care diagnostics.

Conclusions:

Integrated platforms show great potential for bridging cellular immunology and biosensor engineering.
Addressing standardization and cell heterogeneity are key for clinical translation.
Future developments promise enhanced diagnostic capabilities and personalized medicine.