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Issue 42, 2016
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Olive oil density characterization through microfluidic detection using acoustic signatures (MIDAS)

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Abstract

The fraudulent business derived from olive oil adulteration fuels a multi-million dollar underground economy. Current methods to identify adulteration in olive oils, although very sensitive, are costly and time consuming. We propose a miniaturized platform, which we call MIDAS – microfluidic detection using acoustic signatures – that determines the density of an unknown solution by measuring the time delay of an ultrasound wave traveling within the solution. By post-processing the data using a custom Matlab script that implements a matched filter and an ad hoc pre-filter, we show a sensitivity of 0.36% or 3.2 kg m−3. MIDAS could be used to determine the density of a wide variety of samples, including biological fluids for health monitoring.

Graphical abstract: Olive oil density characterization through microfluidic detection using acoustic signatures (MIDAS)

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Publication details

The article was received on 22 Jul 2016, accepted on 17 Sep 2016 and first published on 03 Oct 2016


Article type: Paper
DOI: 10.1039/C6AY02074G
Citation: Anal. Methods, 2016,8, 7673-7677
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    Olive oil density characterization through microfluidic detection using acoustic signatures (MIDAS)

    C. McIntosh, S. Sherman, M. T. Napoli, K. Turner, B. Bamieh and S. Pennathur, Anal. Methods, 2016, 8, 7673
    DOI: 10.1039/C6AY02074G

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