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Automated high-throughput viscosity and density sensor using nanomechanical resonators

Bircher, Benjamin A. and Krenger, Roger and Braun, Thomas. (2016) Automated high-throughput viscosity and density sensor using nanomechanical resonators. Sensors and Actuators B: Chemical , 223. pp. 784-790.

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Official URL: https://edoc.unibas.ch/83172/

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Abstract

Most methods used to determine the viscosity and mass density of liquids have two major drawbacks: relatively high sample consumption (similar to milliliters) and long measurement time (minutes). Resonant nanomechanical cantilevers promise to overcome these limitations. Although sample consumption has already been significantly reduced, the time resolution was rarely addressed to date. We present a method to decrease the time and user interaction required for such measurements. It features (i) a droplet-generating automatic sampler using fluorinated oil to separate microliter sample plugs, (ii) a PDMS-based microfluidic measurement cell containing the resonant microcantilever sensors driven by photothermal excitation, (iii) dual phase-locked loop frequency tracking of a higher-mode resonance to achieve millisecond time resolution, and (iv) signal processing to extract the resonance parameters, namely the eigenfrequency and quality factor. The principle was validated by screening series of 3 pi, droplets of glycerol solutions separated by fluorinated oil at a rate of similar to 6 s per sample. An analytical hydrodynamic model (Van Eysden and Sader, 2007 [6]) and a reduced order model (Heinisch et al., 2014 [161) were employed to calculate the viscosity and mass density of the sample liquids in a viscosity range of 1-10.5 mPa s and a density range of 998-1154 kg m(-3).
Faculties and Departments:05 Faculty of Science > Departement Biozentrum > Structural Biology & Biophysics > Structural Biology (Braun)
05 Faculty of Science > Departement Biozentrum > Structural Biology & Biophysics > Structural Biology (Stahlberg)
UniBasel Contributors:Braun, Thomas
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:Elsevier
ISSN:0925-4005
Note:Publication type according to Uni Basel Research Database: Journal article
Identification Number:
Last Modified:31 May 2021 10:18
Deposited On:31 May 2021 10:18

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