Advances in fiber optic DNA-based sensors: a review
Fecha
2021Versión
Acceso abierto / Sarbide irekia
Tipo
Artículo / Artikulua
Versión
Versión aceptada / Onetsi den bertsioa
Identificador del proyecto
Impacto
|
10.1109/JSEN.2020.3011738
Resumen
DNA is becoming increasingly important in the domain of optical fiber sensors, either as a tool for biosensing, or as a target to detect. In this review the main contributions of the last years are presented both in the domain of wavelength and intensity based configurations. This review comprises the use of natural single strand DNA (ssDNA) sequences as receptors for the detection of ssDNA seque ...
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DNA is becoming increasingly important in the domain of optical fiber sensors, either as a tool for biosensing, or as a target to detect. In this review the main contributions of the last years are presented both in the domain of wavelength and intensity based configurations. This review comprises the use of natural single strand DNA (ssDNA) sequences as receptors for the detection of ssDNA sequences through hybridization, synthetic nucleic acids receptors for detection of complementary ssDNA sequences, and sensors based on natural and synthetic ssDNA receptors used for the detection of non-DNA targets. Parameters such as sensitivity, detection range and limit of detection are analyzed and discussed in detail to the purpose of comparing the different technologies and knowing the future lines to follow in the domain of fiber optic DNA-based sensors. [--]
Materias
Biosensors,
DNA based sensors,
Nanostructured materials,
Optical fiber sensors
Editor
IEEE
Publicado en
IEEE Sensors Journal, 21 (11), 12679-12691
Departamento
Universidad Pública de Navarra. Departamento de Ingeniería Eléctrica, Electrónica y de Comunicación /
Nafarroako Unibertsitate Publikoa. Ingeniaritza Elektrikoa, Elektronikoa eta Telekomunikazio Ingeniaritza Saila
Versión del editor
Entidades Financiadoras
This work was supported in part by the Spanish Agencia Estatal de Investigación (AEI) under Grant PID2019-106231RB-I00, in part by the Public University of Navarra under Grant PJUPNA26, in part by the Ph.D. Research Grants, and in part by the ATTRACT Call financed by the European Union’s Horizon 2020 Research and Innovation Program under Grant 777222.