visitant ::
identificació
|
|||||||||||||||
Cerca | Lliura | Ajuda | Servei de Biblioteques | Sobre el DDD | Català English Español |
Pàgina inicial > Articles > Articles publicats > A low-cost integrated biosensing platform based on SiN nanophotonics for biomarker detection in urine |
Data: | 2018 |
Resum: | We present a low-cost integrated nanophotonic lab-on-a-chip platform suitable for point-of-care (POC) biomarker analysis. The sensor chip included in the platform contains multiplexed Mach-Zehnder interferometers with an on-chip optical spectral analyser consisting of an arrayed-waveguide grating. The sensor chip is fabricated in silicon nitride material, which makes it compatible with consumer-electronics-grade sources and detectors, leading to the possibility of low-cost instrumentation. The nanophotonic sensor chip exhibits a detection limit of 6 × 10 RIU (Refractive Index Units), which is in the same order of magnitude as the reported values for state-of-the-art evanescent wave sensors. The sensor chip is biofunctionalised with specific bioreceptors and integrated into a polymer microfluidic cartridge. The POC instrumentation platform contains optical excitation and read-out sub-systems and dedicated on-board software for real-time analysis of patient samples. To demonstrate the versatility of the platform, we present results both on the detection of an antigen related to tuberculosis directly in urine samples using a laboratory prototype and on the detection of a protein biomarker (CRP) related to inflammation using the integrated instrument. |
Ajuts: | European Commission 610389 Agència de Gestió d'Ajuts Universitaris i de Recerca 2014/SGR-624 Ministerio de Economía y Competitividad SEV-2013-0295 |
Drets: | Tots els drets reservats. |
Llengua: | Anglès |
Document: | Article ; recerca ; Versió sotmesa a revisió |
Matèria: | Biosensing platforms ; Evanescent wave sensors ; Nitride materials ; On board softwares ; Polymer microfluidics ; Real time analysis ; Refractive index units ; State of the art |
Publicat a: | Analytical methods, Vol. 10, Issue 25 (July 2018) , p. 3066-3073, ISSN 1759-9679 |
Preprint 9 p, 1.1 MB |
Postprint 17 p, 991.7 KB |