Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/74187
Title: Fast and accurate pneumocystis pneumonia diagnosis in human samples using a label-free plasmonic biosensor
Authors: Calvo-Lozano, Olalla
Aviñó, Anna
Friaza, Vicente
Medina Escuela, Alfonso Francisco 
Huertas, César S.
Calderón, Enrique J.
Eritja, Ramón
Lechuga, Laura M.
UNESCO Clasification: 3202 Epidemologia
3314 Tecnología médica
Keywords: Clinical Diagnosis
Dna Capture
Optical Biosensor
Pneumocystis Jirovecii
Surface Plasmon Resonance, et al
Issue Date: 2020
Journal: Nanomaterials 
Abstract: 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
Source: Nanomaterials [EISSN 2079-4991], v. 10 (6), p. 1-18, (Junio 2020)
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