4.8 Article

Breaking the Interface: Efficient Extraction of Magnetic Beads from Nanoliter Droplets for Automated Sequential Immunoassays

期刊

ANALYTICAL CHEMISTRY
卷 92, 期 15, 页码 10283-10290

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acs.analchem.0c00187

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资金

  1. Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) [RU 489/31-1, TH 1358/3-1]
  2. MESI-STRAT project from the European Union's Horizon 2020 research and innovation programme [754688]
  3. PoLiMeR Innovative Training Network (Marie Sklodowska-Curie Grant) from the European Union's Horizon 2020 research and innovation programme [812616]
  4. German Tuberous Sclerosis Foundation 2017
  5. German TS Foundation
  6. Stichting TSC Fonds

向作者/读者索取更多资源

Droplet-based microfluidic systems offer a high potential for miniaturization and automation. Therefore, they are becoming an increasingly important tool in analytical chemistry, biosciences, and medicine. Heterogeneous assays commonly utilize magnetic beads as a solid phase. However, the sensitivity of state of the art microfluidic systems is limited by the high bead concentrations required for efficient extraction across the water-oil interface. Furthermore, current systems suffer from a lack of technical solutions for sequential measurements of multiple samples, limiting their throughput and capacity for automation. Taking advantage of the different wetting properties of hydrophilic and hydrophobic areas in the channels, we improve the extraction efficiency of magnetic beads from aqueous nanoliter-sized droplets by 2 orders of magnitude to the low mu g/mL range. Furthermore, the introduction of a switchable magnetic trap enables repetitive capture and release of magnetic particles for sequential analysis of multiple samples, enhancing the throughput. In comparison to conventional ELISA-based sandwich immunoassays on microtiter plates, our microfluidic setup offers a 25-50-fold reduction of sample and reagent consumption with up to 50 technical replicates per sample. The enhanced sensitivity and throughput of this system open avenues for the development of automated detection of biomolecules at the nanoliter scale.

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