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A Reusable Capillary Flow-Driven Microfluidic System for Abscisic Acid Detection Using a Competitive Immunoassay.

Cristiana Domingues1, Marta S C Rodrigues1, Pedro G M Condelipes1

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This study introduces a portable microfluidic device for rapid, low-cost detection of abscisic acid (ABA) in grapes. This innovation aids in early identification of drought stress and ripening, crucial for viticulture management.

Keywords:
abscisic acidcapillarityhydrophilic polydimethylsiloxane copolymer (PDMS-PEG)microfluidicsportability

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Area of Science:

  • Agricultural Science
  • Biotechnology
  • Materials Science

Background:

  • Point-of-care (PoC) diagnostics are vital for rapid agrifood analysis, especially in viticulture for early stress detection.
  • Microfluidic devices offer low reagent use and portability, but material hydrophobicity (e.g., PDMS) poses challenges.
  • Self-driven microfluidic systems using capillary forces eliminate the need for external pumps, simplifying portable diagnostics.

Purpose of the Study:

  • To develop a reusable, portable, capillary-driven microfluidic platform for rapid, low-cost abscisic acid (ABA) detection.
  • To address the limitations of traditional microfluidic materials by using a PDMS-PEG copolymer.
  • To enable early detection of drought stress and ripening onset in viticulture.

Main Methods:

  • Development of a microfluidic platform using a polydimethylsiloxane-polyethylene glycol (PDMS-PEG) copolymer.
  • Implementation of passive fluid transport via capillary-driven sequential flow.
  • Integration of a simplified, field-ready sample processing method for grape analysis.

Main Results:

  • Successful development of a portable, capillary-driven microfluidic device.
  • Demonstrated rapid and low-cost detection of abscisic acid (ABA).
  • Enabled precise biological and chemical screenings with passive fluid transport.

Conclusions:

  • The PDMS-PEG microfluidic platform offers a reusable and portable solution for ABA detection in viticulture.
  • The device facilitates early identification of plant stress and ripening, crucial for crop yield.
  • This technology advances field-ready diagnostics for sustainable agriculture.