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Updated: Jul 12, 2025
A 96 Well Microtiter Plate-based Method for Monitoring Formation and Antifungal Susceptibility Testing of Candida albicans Biofilms
Published on: October 21, 2010
Innovative Biosensing Approaches for Swift Identification of Candida Species, Intrusive Pathogenic Organisms
Dionisio Lorenzo Lorenzo-Villegas1, Namra Vinay Gohil2,3, Paula Lamo4
1Faculty of Health Sciences, University Fernando Pessoa-Canarias, 35450 Santa Maria de Guia, Spain.
Abstract:
Candida is the largest genus of medically significant fungi. Although most of its members are commensals, residing harmlessly in human bodies, some are opportunistic and dangerously invasive. These have the ability to cause severe nosocomial candidiasis and candidemia that affect the viscera and bloodstream. A prompt diagnosis will lead to a successful treatment modality. The smart solution of biosensing technologies for rapid and precise detection of Candida species has made remarkable progress. The development of point-of-care (POC) biosensor devices involves sensor precision down to pico-/femtogram level, cost-effectiveness, portability, rapidity, and user-friendliness. However, futuristic diagnostics will depend on exploiting technologies such as multiplexing for high-throughput screening, CRISPR, artificial intelligence (AI), neural networks, the Internet of Things (IoT), and cloud computing of medical databases. This review gives an insight into different biosensor technologies designed for the detection of medically significant Candida species, especially Candida albicans and C. auris, and their applications in the medical setting.
Insights
Rapid biosensing technologies offer precise, portable, and cost-effective detection of invasive Candida species, crucial for timely treatment of candidiasis and candidemia.
Area of Science:
- Medical Mycology
- Biotechnology
- Diagnostic Technology
Background:
- Candida species are significant human fungal pathogens, causing opportunistic infections like candidiasis and candidemia.
- Prompt diagnosis of invasive Candida infections is critical for effective treatment and patient outcomes.
- Current diagnostic methods can be slow, hindering rapid clinical intervention.
Purpose of the Study:
- To review advancements in biosensing technologies for rapid and precise detection of medically significant Candida species.
- To highlight the development of point-of-care (POC) biosensors for Candida detection.
- To explore future diagnostic trends including multiplexing, CRISPR, AI, and IoT in Candida diagnostics.
Main Methods:
- Review of current literature on biosensor technologies for Candida detection.
- Analysis of sensor characteristics such as precision, cost-effectiveness, portability, and user-friendliness.
- Discussion of emerging technologies for enhanced Candida diagnostics.
Main Results:
- Biosensing technologies have achieved pico-/femtogram level precision for Candida detection.
- Point-of-care (POC) biosensor development focuses on key features for clinical utility.
- Future diagnostics will integrate advanced technologies for high-throughput screening and data management.
Conclusions:
- Biosensors represent a smart solution for rapid and precise detection of medically significant Candida species.
- POC biosensors are advancing the capability for near-patient diagnostics.
- Integration of emerging technologies will revolutionize the diagnosis and management of Candida infections.
