Skip to main navigation Skip to search Skip to main content

Electro-kinetically driven route for highly sensitive blood pathology on a paper-based device

  • Naresh Kumar Mani
  • , Sankha Shuvra Das
  • , Sayantan Dawn
  • , Suman Chakraborty*
  • *Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    Abstract

    Enhancing the sensitivity of colorimetric detection in paper-devices is a quintessential step in achieving frugal diagnosis. Here, we demonstrate an effective way of improving the detection sensitivity of paper-based devices, as mediated by electro-kinetic mechanisms. By directly employing blood plasma, we investigate the electro-kinetic clustering of glucose, a neutral molecule in paper devices. Under the influence of uniform electric field, dispersed glucose gets accumulated in the paper strips. Due to the combination of EOF and electrophoretic migration, we achieve twofold increase in the colour intensity for both normal and diabetic samples. This approach is robust and possesses better sensitivity than conventional colorimetric assays and can be easily extended to other body fluid based diagnosis. These results may turn out to be of profound importance in improving the quality of pathological diagnosis in low-cost paper-based point-of-care devices deployed in resource-limited settings.

    Original languageEnglish
    Pages (from-to)615-620
    Number of pages6
    JournalElectrophoresis
    Volume41
    Issue number7-8
    DOIs
    Publication statusPublished - 01-04-2020

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    All Science Journal Classification (ASJC) codes

    • Analytical Chemistry
    • Biochemistry
    • Clinical Biochemistry

    Fingerprint

    Dive into the research topics of 'Electro-kinetically driven route for highly sensitive blood pathology on a paper-based device'. Together they form a unique fingerprint.

    Cite this