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Microscale Biosensor Array Based on Flexible Polymeric Platform toward Lab-on-a-Needle: Real-Time Multiparameter Biomedical Assays on Curved Needle Surfaces

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    Microscale Biosensor Array Based on Flexible Polymeric Platform toward Lab-on-a-Needle: Real-Time Multiparameter Biomedical Assays on Curved Needle Surfaces
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    • Jaeho Park
      Jaeho Park
      Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, South Korea
      More by Jaeho Park
    • Juliane R. Sempionatto
      Juliane R. Sempionatto
      Department of NanoEngineering, University of California, San Diego, La Jolla, California 92093, United States
      More by Juliane R. Sempionatto
    • Jayoung Kim
      Jayoung Kim
      Department of NanoEngineering, University of California, San Diego, La Jolla, California 92093, United States
      More by Jayoung Kim
    • Yongrok Jeong
      Yongrok Jeong
      Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, South Korea
      More by Yongrok Jeong
    • Jimin Gu
      Jimin Gu
      Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, South Korea
      More by Jimin Gu
    • Joseph Wang*
      Joseph Wang
      Department of NanoEngineering, University of California, San Diego, La Jolla, California 92093, United States
      *E-mail: [email protected] (J.W.).
      More by Joseph Wang
      Orcidhttp://orcid.org/0000-0002-4921-9674
    • Inkyu Park*
      Inkyu Park
      Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, South Korea
      *E-mail: [email protected] (I.P.).
      More by Inkyu Park
      Orcidhttp://orcid.org/0000-0001-5761-7739
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    ACS Sensors

    Cite this: ACS Sens. 2020, 5, 5, 1363–1373
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    https://doi.org/10.1021/acssensors.0c00078
    Published February 27, 2020
    Copyright © 2020 American Chemical Society
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    Abstract

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    In vivo sensing of various physical/chemical parameters is gaining increased attention for early prediction and management of various diseases. However, there are major limitations on the fabrication method of multiparameter needle-based in vivo sensing devices, particularly concerning the uniformity between sensors. To address these challenges, we developed a microscale biosensor array for the measurement of electrical conductivity, pH, glucose, and lactate concentrations on a flexible polymeric polyimide platform with electrodeposited electrochemically active layers. The biosensor array was then transferred to a medical needle toward multiparametric in vivo sensing. The flexibility of the sensor platform allowed an easy integration to the curved surface (φ = 1.2 mm) of the needle. Furthermore, the electrodeposition process was used to localize various active materials for corresponding electrochemical sensors on the microscale electrodes with a high precision (patterning area = 150 μm × 2 mm). The biosensor array-modified needle was aimed to discriminate cancer from normal tissues by providing real-time discrimination of glucose, lactate concentration, pH, and electrical conductivity changes associated with the cancer-specific metabolic processes. The sensor performance was thus evaluated using solution samples, covering the physiological concentrations for cancer discrimination. Finally, the possibility of in vivo electrochemical biosensing during needle insertion was confirmed by utilizing the needle in a hydrogel phantom that mimicked the normal and cancer microenvironments.

    Copyright © 2020 American Chemical Society

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    Supporting Information

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    The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acssensors.0c00078.

    • Schematic illustration of the cancer microenvironment, schematic image of the fabrication process, experimental setup of the real-time multiparametric measurement, cyclic voltammogram of IrOx electrodeposition, description of the cell constant, the description of the k-curve calibration, and optimization of electropolymerized parameters for the PPy-LOx lactate sensor (PDF)

    • Video showing the experimental process of real-time multiparameter sensing in the hydrogel phantom (AVI)

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    Cited By

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    This article is cited by 42 publications.

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    ACS Sensors

    Cite this: ACS Sens. 2020, 5, 5, 1363–1373
    Click to copy citationCitation copied!
    https://doi.org/10.1021/acssensors.0c00078
    Published February 27, 2020
    Copyright © 2020 American Chemical Society
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