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A High Fundamental Frequency (HFF)-based QCM Immunosensor for Tuberculosis Detection

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A High Fundamental Frequency (HFF)-based QCM Immunosensor for Tuberculosis Detection

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Montoya Baides, Á.; March Iborra, MDC.; Montagut Ferizzola, YJ.; Moreno Tamarit, MJ.; Manclus Ciscar, JJ.; Arnau Vives, A.; Jiménez Jiménez, Y.... (2017). A High Fundamental Frequency (HFF)-based QCM Immunosensor for Tuberculosis Detection. Current Topics in Medicinal Chemistry. 17(14):1623-1630. doi:10.2174/1568026617666161104105210

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/81496

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Title: A High Fundamental Frequency (HFF)-based QCM Immunosensor for Tuberculosis Detection
Author:
UPV Unit: Universitat Politècnica de València. Instituto Interuniversitario de Investigación en Bioingeniería y Tecnología Orientada al Ser Humano - Institut Interuniversitari d'Investigació en Bioenginyeria i Tecnologia Orientada a l'Ésser Humà
Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros Industriales - Escola Tècnica Superior d'Enginyers Industrials
Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros de Telecomunicación - Escola Tècnica Superior d'Enginyers de Telecomunicació
Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica
Issued date:
Abstract:
Tuberculosis, one of the oldest diseases affecting human beings, is still considered as a world public health problem by the World Health Organization. Therefore, there is a need for new and more powerful analytical methods ...[+]
Subjects: Tuberculosis , 38 kDa Biomarker , Monoclonal Antibody , ELISA , High Fundamental Frequency (HFF) , Piezoelec- tric Immunosensor.
Copyrigths: Reserva de todos los derechos
Source:
Current Topics in Medicinal Chemistry. (issn: 1568-0266 ) (eissn: 1873-5294 )
DOI: 10.2174/1568026617666161104105210
Publisher:
Bentham Science Publishers
Publisher version: http://doi.org/10.2174/1568026617666161104105210
Thanks:
This study was supported by COLCIENCIAS (Colombia), Project no. 13335212865) and by AWSensors (Valencia, Spain). All of the authors: A. Montoya, C. March, Y.J. Montagut, M.J. Moreno, J.J. Manclus, A. Arnau, Y. Jimenez, M. ...[+]
Type: Artículo

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