Literature DB >> 33463317

Sensing Layer for Ni Detection in Water Created by Immobilization of Bioengineered Flagellar Nanotubes on Gold Surfaces.

Zoltan Labadi1, Benjamin Kalas1, Andras Saftics1, Levente Illes1, Hajnalka Jankovics2, Éva Bereczk-Tompa2, Anett Sebestyén2, Éva Tóth2, Balázs Kakasi2, Carmen Moldovan3, Bogdan Firtat3, Mariuca Gartner4, Marin Gheorghe5, Ferenc Vonderviszt1,2, Miklos Fried1,6, Peter Petrik1.   

Abstract

The environmental monitoring of Ni is targeted at a threshold limit value of 0.34 μM, as set by the World Health Organization. This sensitivity target can usually only be met by time-consuming and expensive laboratory measurements. There is a need for inexpensive, field-applicable methods, even if they are only used for signaling the necessity of a more accurate laboratory investigation. In this work, bioengineered, protein-based sensing layers were developed for Ni detection in water. Two bacterial Ni-binding flagellin variants were fabricated using genetic engineering, and their applicability as Ni-sensitive biochip coatings was tested. Nanotubes of mutant flagellins were built by in vitro polymerization. A large surface density of the nanotubes on the sensor surface was achieved by covalent immobilization chemistry based on a dithiobis(succimidyl propionate) cross-linking method. The formation and density of the sensing layer was monitored and verified by spectroscopic ellipsometry and atomic force microscopy. Cyclic voltammetry (CV) measurements revealed a Ni sensitivity below 1 μM. It was also shown that, even after two months of storage, the used sensors can be regenerated and reused by rinsing in a 10 mM solution of ethylenediaminetetraacetic acid at room temperature.

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Keywords:  electronic sensing; flagellin; spectroscopic ellipsometry; water contamination

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Year:  2020        PMID: 33463317     DOI: 10.1021/acsbiomaterials.0c00280

Source DB:  PubMed          Journal:  ACS Biomater Sci Eng        ISSN: 2373-9878


  1 in total

1.  Flagellin-based electrochemical sensing layer for arsenic detection in water.

Authors:  Hajnalka Jankovics; Patrik Szekér; Éva Tóth; Balázs Kakasi; Zoltán Lábadi; András Saftics; Benjamin Kalas; Miklós Fried; Péter Petrik; Ferenc Vonderviszt
Journal:  Sci Rep       Date:  2021-02-10       Impact factor: 4.379

  1 in total

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