Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/74187
Título: Fast and accurate pneumocystis pneumonia diagnosis in human samples using a label-free plasmonic biosensor
Autores/as: Calvo-Lozano, Olalla
Aviñó, Anna
Friaza, Vicente
Medina Escuela, Alfonso Francisco 
Huertas, César S.
Calderón, Enrique J.
Eritja, Ramón
Lechuga, Laura M.
Clasificación UNESCO: 3202 Epidemologia
3314 Tecnología médica
Palabras clave: Clinical Diagnosis
Dna Capture
Optical Biosensor
Pneumocystis Jirovecii
Surface Plasmon Resonance, et al.
Fecha de publicación: 2020
Publicación seriada: Nanomaterials 
Resumen: Pneumocystis jirovecii is a fungus responsible for human Pneumocystis pneumonia, one of the most severe infections encountered in immunodepressed individuals. The diagnosis of Pneumocystis pneumonia continues to be challenging due to the absence of specific symptoms in infected patients. Moreover, the standard diagnostic method employed for its diagnosis involves mainly PCR-based techniques, which besides being highly specific and sensitive, require specialized personnel and equipment and are time-consuming. Our aim is to demonstrate an optical biosensor methodology based on surface plasmon resonance to perform such diagnostics in an efficient and decentralized scheme. The biosensor methodology employs poly-purine reverse-Hoogsteen hairpin probes for the detection of the mitochondrial large subunit ribosomal RNA (mtLSU rRNA) gene, related to P. jirovecii detection. The biosensor device performs a real-time and label-free identification of the mtLSU rRNA gene with excellent selectivity and reproducibility, achieving limits of detection of around 2.11 nM. A preliminary evaluation of clinical samples showed rapid, label-free and specific identification of P. jirovecii in human lung fluids such as bronchoalveolar lavages or nasopharyngeal aspirates. These results offer a door for the future deployment of a sensitive diagnostic tool for fast, direct and selective detection of Pneumocystis pneumonia disease.
URI: http://hdl.handle.net/10553/74187
ISSN: 2079-4991
DOI: 10.3390/NANO10061246
Fuente: Nanomaterials [EISSN 2079-4991], v. 10 (6), p. 1-18, (Junio 2020)
Colección:Artículos
miniatura
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