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Updated: Feb 27, 2026

Microfluidic Tools for Probing Fungal-Microbial Interactions at the Cellular Level
Published on: June 23, 2022
Fungal Frontiers in (Bio)sensing.
1Istituto per lo Studio dei Materiali Nanostrutturati, Sede Roma-Sapienza, Consiglio Nazionale delle Ricerche, P.le Aldo Moro 5, 00185 Rome, Italy.
Filamentous fungi offer advanced biosensing capabilities, enhancing sensitivity and sustainability. This review highlights their potential in molecular, material, and computational applications for next-generation sensing technologies.
Area of Science:
- Biotechnology and Biosensing
- Mycology
- Materials Science
Background:
- Filamentous fungi possess unique traits like secretion, material formation, and bioelectrical activity.
- These fungi are emerging as adaptable platforms for developing sophisticated biosensing technologies.
Purpose of the Study:
- To critically review recent advancements in fungal-based sensing over the past five years.
- To explore fungal applications across molecular, material, computational, and ecological domains.
- To identify challenges and future directions in fungal biosensor development.
Main Methods:
- Review of recent scientific literature focusing on fungal biosensing.
- Analysis of developments in secretome-derived biomolecules, mycogenic nanomaterials, and mycelium-based living materials.
- Examination of fungal electrophysiology and computational approaches for sensing.
Main Results:
- Fungal systems demonstrate enhanced biosensor sensitivity, selectivity, and sustainability.
- Novel sensing paradigms include unconventional signal transduction, material-integrated sensing, and biological computation.
- Mycelial dynamics and electrical activity offer measurable responses for environmental monitoring and wearable devices.
Conclusions:
- Filamentous fungi present significant potential for next-generation biosensing technologies.
- Integrative approaches combining biology, materials science, electronics, and AI are crucial for future progress.
- Further research is needed to address challenges in reproducibility, stability, and device integration.
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