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Issue 25, 2018
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A low-cost integrated biosensing platform based on SiN nanophotonics for biomarker detection in urine

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Abstract

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 × 10−6 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.

Graphical abstract: A low-cost integrated biosensing platform based on SiN nanophotonics for biomarker detection in urine

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Publication details

The article was received on 26 Mar 2018, accepted on 04 Jun 2018 and first published on 06 Jun 2018


Article type: Paper
DOI: 10.1039/C8AY00666K
Anal. Methods, 2018,10, 3066-3073

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    A low-cost integrated biosensing platform based on SiN nanophotonics for biomarker detection in urine

    D. Martens, P. Ramirez-Priego, M. S. Murib, A. A. Elamin, A. B. Gonzalez-Guerrero, M. Stehr, F. Jonas, B. Anton, N. Hlawatsch, P. Soetaert, R. Vos, A. Stassen, S. Severi, W. Van Roy, R. Bockstaele, H. Becker, M. Singh, L. M. Lechuga and P. Bienstman, Anal. Methods, 2018, 10, 3066
    DOI: 10.1039/C8AY00666K

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