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    Smartphone based on-chip fluorescence imaging and capillary flow velocity measurement for detecting ROR1+ cancer cells from buffy coat blood samples on dual-layer paper microfluidic chip

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    ROR1 Rev.pdf
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    Author
    Ulep, Tiffany-Heather
    Zenhausern, Ryan
    Gonzales, Alana
    Knoff, David S
    Lengerke Diaz, Paula A
    Castro, Januario E
    Yoon, Jeong-Yeol
    Affiliation
    Univ Arizona, Dept Biomed Engn
    Issue Date
    2020-01-22
    Keywords
    Antibody receptor tyrosine kinase-like orphan receptor 1 (ROR1)
    Capillary action
    Chronic lymphocytic leukemia (CLL)
    Immunoagglutination
    Particle aggregation
    
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    Publisher
    ELSEVIER ADVANCED TECHNOLOGY
    Citation
    Ulep, T.-H., Zenhausern, R., Gonzales, A., Knoff, D. S., Lengerke Diaz, P. A., Castro, J. E., & Yoon, J.-Y. (2020). Smartphone based on-chip fluorescence imaging and capillary flow velocity measurement for detecting ROR1+ cancer cells from buffy coat blood samples on dual-layer paper microfluidic chip. Biosensors and Bioelectronics, 153, 112042. https://doi.org/10.1016/j.bios.2020.112042 ‌
    Journal
    BIOSENSORS & BIOELECTRONICS
    Rights
    Copyright © 2020 Elsevier B.V. All rights reserved.
    Collection Information
    This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
    Abstract
    Diagnosis of hematological cancer requires complete white blood cell count, followed by flow cytometry with multiple markers, and cytology. It requires substantial time and specialized training. A dual-layer paper microfluidic chip was developed as a quicker, low-cost, and field-deployable alternative to detect ROR1+ (receptor tyrosine-like orphan receptor one) cancer cells from the undiluted and untreated buffy coat blood samples. The first capture layer consisted of a GF/D glass fiber substrate, preloaded with cancer specific anti-ROR1 conjugated fluorescent particles to its center for cancer cell capture and direct smartphone fluorescence imaging. The second flow layer was comprised of a grade 1 cellulose chromatography paper with wax-printed four channels for wicking and capillary flow-based detection. The flow velocity was used as measure of antigen concentration in the buffy coat sample. In this manner, intact cells and their antigens were separated and independently analyzed by both imaging and flow velocity analyses. A custom-made smartphone-based fluorescence microscope and automated image processing and particle counter software were developed to enumerate particles on paper, with the limit of detection of 1 cell/mu L. Flow velocity analysis showed even greater sensitivity, with the limit of detection of 0.1 cells/mu L in the first 6 s of assay. Comparison with capillary flow model revealed great alignment with experimental data and greater correlation to viscosity than interfacial tension. Our proposed device Is able to capture and on-chip image ROR1+ cancer cells within a complex sample matrix (buffy coat) while simultaneously quantifying cell concentration in a point-of-care manner.
    Note
    24 month embargo; published online: 22 January 2020
    ISSN
    0956-5663
    PubMed ID
    32056660
    DOI
    10.1016/j.bios.2020.112042
    Version
    Final accepted manuscript
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.bios.2020.112042
    Scopus Count
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    UA Faculty Publications

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