Low field nuclear magnetic sensing technology based on hydrogel-coated superparamagnetic particles.

Anal Chim Acta

Shanghai Normal University, School of Chemistry and Materials Science, Shanghai Key Laboratory of Rare Earth Functional Materials, Shanghai, 200234, China. Electronic address:

Published: January 2020

AI Article Synopsis

  • A novel sensing platform was developed using superparamagnetic nanoparticles and a polyacrylamide hydrogel that changes in response to specific target molecules through a process called nucleic acid hairpin hybridization chain reaction.
  • The hydrogel selectively binds to targets, causing it to open and expose the magnetic nanoparticles, which alters nuclear magnetic resonance signals for detection.
  • This method allows for rapid, cost-effective, and versatile detection of various targets, including ATP and PCB77, making it useful for applications like food safety and cancer detection.

Article Abstract

Based on superparamagnetic nanoparticles, a responsive polyacrylamide hydrogel self-assembled by nucleic acid hairpin hybridization chain reaction was designed, and a universal low field nuclear magnetic resonance sensing platform was successfully constructed. As the target was gradually added, the hydrogel coating on the surface of the magnetic nanoparticle was opened layer by layer through binding with the aptamer, which specifically bonded thereto, causing different degrees of exposure of the magnetic nanoparticle, resulting in changes of low field nuclear magnetic resonance signals. This method was originally applied to the rapid detection of adenosine triphosphate (ATP), and the versatility of the method was verified using polychlorinated biphenyl 77 (PCB77). This method had the advantage of being fast, convenient, and low cost, and it can be easily operated with high repeatability. This universal method can detect a variety of targets by replacing aptamers and may be useful in controlling food quality and for rapidly detecting cancer cells in vitro.

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Source
http://dx.doi.org/10.1016/j.aca.2019.10.013DOI Listing

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