Issue 18, 2016
From the journal:

Analyst

Enzymatic conversion of magnetic nanoparticles to a non-magnetic precipitate: a new approach to magnetic sensing

Arati G. Kolhatkar,a   Andrew C. Jamison,a   Ivan Nekrashevich,b   Katerina Kourentzi,c   Dmitri Litvinov,*ab   Audrius Brazdeikis,*d   Richard C. Willson*cef  and  T. Randall Lee ORCID logo *a  

* Corresponding authors

a Department of Chemistry and Texas Center for Superconductivity, University of Houston, 4800 Calhoun Road, Houston, TX 77204, USA
E-mail: litvinov@uh.edu, trlee@uh.edu

b Department of Electrical and Computer Engineering, University of Houston, 4800 Calhoun Road, Houston, TX 77204, USA

c Department of Chemical and Biomolecular Engineering, University of Houston, 4726 Calhoun Road, Houston, TX 77204, USA

d Department of Physics and Texas Center for Superconductivity, University of Houston, 4800 Calhoun Road, Houston, TX 77204, USA
E-mail: audrius@uh.edu

e Department of Biology and Biochemistry, University of Houston, 4800 Calhoun Road, Houston, TX 77204, USA
E-mail: willson@uh.edu

f Instituto Tecnológico de Monterrey, Monterrey, Mexico

Abstract

Magnetic sensing utilizes the detection of biomolecule-conjugated magnetic nanoparticles (MNPs). Our new strategy offers a novel approach to magnetic sensing where in situ conversion produces a “loss of signal” in the sensing device. This report demonstrates the enzymatic conversion of Fe3O4 MNPs to a non-magnetic precipitate via reduction by L-ascorbic acid generated by the action of alkaline phosphatase.

Graphical abstract: Enzymatic conversion of magnetic nanoparticles to a non-magnetic precipitate: a new approach to magnetic sensing

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Article information

DOI
https://doi.org/10.1039/C6AN00709K
Article type
Communication
Submitted
25 Mar 2016
Accepted
24 Jul 2016
First published
25 Jul 2016

Analyst, 2016,141, 5246-5251

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Enzymatic conversion of magnetic nanoparticles to a non-magnetic precipitate: a new approach to magnetic sensing

A. G. Kolhatkar, A. C. Jamison, I. Nekrashevich, K. Kourentzi, D. Litvinov, A. Brazdeikis, R. C. Willson and T. Randall Lee, Analyst, 2016, 141, 5246 DOI: 10.1039/C6AN00709K

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