Sensitive Readout for Microfluidic High-Throughput Applications using Scanning SQUID Microscopy

Shai Wissberg, Maria Ronen, Ziv Oren, Doron Gerber, Beena Kalisky

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

Microfluidic chips provide a powerful platform for high-throughput screening of diverse biophysical systems. The most prevalent detection methods are fluorescence based. Developing new readout techniques for microfluidics focusing on quantitative information in the low signal regime is desirable. In this work, we combine the well-established immunoassay approach, with magnetic nanoparticles, with a highly sensitive magnetic imaging technique. We offer to integrate a microfluidic array into a scanning superconducting quantum interference device (SQUID) microscope, to image nanoparticles that were moved through the microfluidic device. We demonstrate the technique on protein-protein interactions (PPI). We compare sensitivity to that of a conventional readout, quantify the amount of interactions, and demonstrate 0.1 atto-mole sensitivity. Our work serves as a proof of concept that will promote the development of a new set of eyes, a stable usable microfluidic-scanning SQUID microscopy.

Original languageEnglish
Article number1573
JournalScientific Reports
Volume10
Issue number1
DOIs
StatePublished - 31 Jan 2020

Bibliographical note

Publisher Copyright:
© 2020, The Author(s).

Funding

S.W. and B.K. were supported by the European Research Council Grant No. ERC-2014-STG-639792 (B.K.), Israeli Science Foundation grant no. ISF-1281/17 and QuantERA ERA-NET Cofund in Quantum Technologies (Project No. 731473). M.R., Z.O. and D.G. were supported by the European Research Council Grant No. ERC-2012-STG-309600 (D.G.).

FundersFunder number
Horizon 2020 Framework Programme639792, 731473, 309600
European Commission
Israel Science FoundationERC-2012-STG-309600, ISF-1281/17

    Fingerprint

    Dive into the research topics of 'Sensitive Readout for Microfluidic High-Throughput Applications using Scanning SQUID Microscopy'. Together they form a unique fingerprint.

    Cite this