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Journal Article

Robust smartphone assisted biosensing based on asymmetric nanofluidic grating interferometry.

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Purr,  F.
Research Group of Biological Micro- and Nanotechnology, MPI for Biophysical Chemistry, Max Planck Society;

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Burg,  T. P.
Research Group of Biological Micro- and Nanotechnology, MPI for Biophysical Chemistry, Max Planck Society;

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Citation

Purr, F., Eckardt, M. F., Kieserling, J., Gronwald, P. L., Burg, T. P., & Dietzel, A. (2019). Robust smartphone assisted biosensing based on asymmetric nanofluidic grating interferometry. Sensors, 19(9): 2065. doi:10.3390/s19092065.


Cite as: https://hdl.handle.net/21.11116/0000-0003-8D90-B
Abstract
Point-of-care systems enable fast therapy decisions on site without the need of any healthcare infrastructure. In addition to the sensitive detection, stable measurement by inexperienced persons outside of laboratory facilities is indispensable. A particular challenge in field applications is to reduce interference from environmental factors, such as temperature, to acceptable levels without sacrificing simplicity. Here, we present a smartphone-based point-of-care sensor. The method uses an optofluidic grating composed of alternating detection and reference channels arranged as a reflective phase grating. Biomolecules adsorbing to the detection channel alter the optical path length, while the parallel reference channels enable a direct common mode rejection within a single measurement. The optical setup is integrated in a compact design of a mobile readout device and the usability is ensured by a smartphone application. Our results show that different ambient temperatures do not have any influence on the signal. In a proof-of concept experiment we measured the accumulation of specific molecules in functionalized detection channels in real-time and without the need of any labeling. Therefore, the channel walls have been modified with biotin as capture molecules and the specific binding of streptavidin was detected. A mobile, reliable and robust point-of-care device has been realized by combining an inherently differential measurement concept with a smartphone-based, mobile readout device.