Machine learning enabled acoustic detection of sub-nanomolar concentration of trypsin and plasmin in solution

doi:10.1016/j.snb.2018.05.100

Title: Machine learning enabled acoustic detection of sub-nanomolar concentration of trypsin and plasmin in solution

Abstract

Here, we demonstrate a machine learning enabled low-cost acoustic detection of protease which may find application in assuring quality and safety of dairy products, drug screening, molecular profiling, and disease diagnostics. A hydrophilic SiO ₂-coated quartz crystal microbalance (QCM) acts as a substrate to assemble α-, β-, and κ-casein layers (protease reporters) and as a transducer for measuring changes in frequency as casein is removed by protease. We demonstrate that α-, β-, and κ-caseins can form stable assembly on SiO ₂ from phosphate-buffered solution (PBS) solution. Exposure to protease results in cleaving of casein which changes the frequency of the 1st–11th odd harmonics of QCM. Monitoring β-casein cleavage allows ~0.2 nM detection of trypsin and ~0.5 nM detection of plasmin and enables differentiation between trypsin and plasmin after <2 min of protease exposure. The casein-coated QCM allows sub-nanomolar detection and classification of protease.

Authors:

Tatarko, Marek ^[1]; Muckley, Eric S. ^[2]; Subjakova, Veronika ^[1];

^[2];

^[2]; Hianik, Tibor ^[1];

^[2]

Comenius Univ., Bratislava (Slovakia)
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

Publication Date:: 2018-05-19

Research Org.:: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

Sponsoring Org.:: USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22)

OSTI Identifier:: 1482462

Alternate Identifier(s):: OSTI ID: 1591683

Grant/Contract Number:: AC05-00OR22725

Resource Type:: Accepted Manuscript

Journal Name:: Sensors and Actuators. B, Chemical

Additional Journal Information:: Journal Volume: 272; Journal Issue: C; Journal ID: ISSN 0925-4005

Publisher:: Elsevier

Country of Publication:: United States

Language:: English

Subject:: 47 OTHER INSTRUMENTATION; Casein; Plasmin; Trypsin; Protease; QCM; Biosensor; Machine learning

Citation Formats


                    Tatarko, Marek, Muckley, Eric S., Subjakova, Veronika, Goswami, Monojoy, Sumpter, Bobby G., Hianik, Tibor, and Ivanov, Ilia N. Machine learning enabled acoustic detection of sub-nanomolar concentration of trypsin and plasmin in solution.  United States: N. p., 2018. 
        Web.  doi:10.1016/j.snb.2018.05.100.

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                    Tatarko, Marek, Muckley, Eric S., Subjakova, Veronika, Goswami, Monojoy, Sumpter, Bobby G., Hianik, Tibor, & Ivanov, Ilia N. Machine learning enabled acoustic detection of sub-nanomolar concentration of trypsin and plasmin in solution.  United States.  doi:10.1016/j.snb.2018.05.100.

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                    Tatarko, Marek, Muckley, Eric S., Subjakova, Veronika, Goswami, Monojoy, Sumpter, Bobby G., Hianik, Tibor, and Ivanov, Ilia N. Sat .  
        "Machine learning enabled acoustic detection of sub-nanomolar concentration of trypsin and plasmin in solution".  United States.  doi:10.1016/j.snb.2018.05.100.  https://www.osti.gov/servlets/purl/1482462.

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@article{osti_1482462,

  title        = {Machine learning enabled acoustic detection of sub-nanomolar concentration of trypsin and plasmin in solution},

  author       = {Tatarko, Marek and Muckley, Eric S. and Subjakova, Veronika and Goswami, Monojoy and Sumpter, Bobby G. and Hianik, Tibor and Ivanov, Ilia N.},

  abstractNote = {Here, we demonstrate a machine learning enabled low-cost acoustic detection of protease which may find application in assuring quality and safety of dairy products, drug screening, molecular profiling, and disease diagnostics. A hydrophilic SiO2-coated quartz crystal microbalance (QCM) acts as a substrate to assemble α-, β-, and κ-casein layers (protease reporters) and as a transducer for measuring changes in frequency as casein is removed by protease. We demonstrate that α-, β-, and κ-caseins can form stable assembly on SiO2 from phosphate-buffered solution (PBS) solution. Exposure to protease results in cleaving of casein which changes the frequency of the 1st–11th odd harmonics of QCM. Monitoring β-casein cleavage allows ~0.2 nM detection of trypsin and ~0.5 nM detection of plasmin and enables differentiation between trypsin and plasmin after <2 min of protease exposure. The casein-coated QCM allows sub-nanomolar detection and classification of protease.},

  doi          = {10.1016/j.snb.2018.05.100},

  journal      = {Sensors and Actuators. B, Chemical},

  number       = C,

  volume       = 272,

  place        = {United States},

  year         = {2018},

  month        = {5}

}

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DOI: 10.1016/j.snb.2018.05.100

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Cited by: 2 works

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Figures / Tables:

Fig. 1: Kinetics of casein adsorption and removal from SiO⁠₂, as measured by frequency shift ($Δ$f) of 1st–11th odd harmonics of the QCM. Exposure and removal of $α$-casein (left panel), $β$-casein (middle panel), and κ-casein (right panel) are marked by the first and second vertical dashed lines respectively.

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