Fungal infections are a significant global health problem, particularly affecting individuals with weakened immune systems. Moreover, as uncontrolled antibiotic and immunosuppressant use increases continuously, fungal infections have seen a dramatic increase, with some strains developing antibiotic resistance. Traditional approaches to identifying fungal strains often rely on morphological characteristics, thus owning limitations, such as struggles in identifying several strains or distinguishing between fungal strains with similar morphologies. This review explores the multifaceted impact of fungi infections on individuals, healthcare providers, and society, highlighting the often-underestimated economic burden and healthcare implications of these infections. In light of the serious constraints of traditional fungal identification methods, this review discusses the potential of plasmonic nanoparticle-based biosensors for fungal infection identification. These biosensors can enable rapid and precise fungal pathogen detection by exploiting several readout approaches, including various spectroscopic techniques, colorimetric and electrochemical assays, as well as lateral-flow immunoassay methods. Moreover, we report the remarkable impact of plasmonic Lab on a Chip technology and microfluidic devices, as they recently emerged as a class of advanced biosensors. Finally, we provide an overview of smartphone-based Point-of-Care devices and the associated technologies developed for detecting and identifying fungal pathogens.

Recent advances towards point-of-care devices for fungal detection. Emphasizing the role of plasmonic nanomaterials in current and future technologies / Stoia, D.; De Sio, L.; Petronella, F.; Focsan, M.. - In: BIOSENSORS & BIOELECTRONICS. - ISSN 0956-5663. - 255:(2024). [10.1016/j.bios.2024.116243]

Recent advances towards point-of-care devices for fungal detection. Emphasizing the role of plasmonic nanomaterials in current and future technologies

De Sio L.;
2024

Abstract

Fungal infections are a significant global health problem, particularly affecting individuals with weakened immune systems. Moreover, as uncontrolled antibiotic and immunosuppressant use increases continuously, fungal infections have seen a dramatic increase, with some strains developing antibiotic resistance. Traditional approaches to identifying fungal strains often rely on morphological characteristics, thus owning limitations, such as struggles in identifying several strains or distinguishing between fungal strains with similar morphologies. This review explores the multifaceted impact of fungi infections on individuals, healthcare providers, and society, highlighting the often-underestimated economic burden and healthcare implications of these infections. In light of the serious constraints of traditional fungal identification methods, this review discusses the potential of plasmonic nanoparticle-based biosensors for fungal infection identification. These biosensors can enable rapid and precise fungal pathogen detection by exploiting several readout approaches, including various spectroscopic techniques, colorimetric and electrochemical assays, as well as lateral-flow immunoassay methods. Moreover, we report the remarkable impact of plasmonic Lab on a Chip technology and microfluidic devices, as they recently emerged as a class of advanced biosensors. Finally, we provide an overview of smartphone-based Point-of-Care devices and the associated technologies developed for detecting and identifying fungal pathogens.
2024
biosensors; fungal infection; fungi detection; lab on a chip; microfluidic devices; plasmonic nanoparticles; smartphone-based sensors
01 Pubblicazione su rivista::01g Articolo di rassegna (Review)
Recent advances towards point-of-care devices for fungal detection. Emphasizing the role of plasmonic nanomaterials in current and future technologies / Stoia, D.; De Sio, L.; Petronella, F.; Focsan, M.. - In: BIOSENSORS & BIOELECTRONICS. - ISSN 0956-5663. - 255:(2024). [10.1016/j.bios.2024.116243]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1707633
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