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Yakimov, A.S.* ; Denisov, I.A.* ; Bukatin, A.S.* ; Lukyanenko, K.A.* ; Belousov, K.I.* ; Kukhtevich, I. ; Esimbekova, E.N.* ; Evstrapov, A.A.* ; Belobrov, P.*

Droplet microfluidic device for chemoenzymatic sensing.

Micromachines 13:1146 (2022)
Verlagsversion Forschungsdaten DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
The rapid detection of pollutants in water can be performed with enzymatic probes, the catalytic light-emitting activity of which decreases in the presence of many types of pollutants. Herein, we present a microfluidic system for continuous chemoenzymatic biosensing that generates emulsion droplets containing two enzymes of the bacterial bioluminescent system (luciferase and NAD(P)H:FMN-oxidoreductase) with substrates required for the reaction. The developed chip generates "water-in-oil" emulsion droplets with a volume of 0.1 μL and a frequency of up to 12 drops per minute as well as provides the efficient mixing of reagents in droplets and their distancing. The bioluminescent signal from each individual droplet was measured by a photomultiplier tube with a signal-to-noise ratio of up to 3000/1. The intensity of the luminescence depended on the concentration of the copper sulfate with the limit of its detection of 5 μM. It was shown that bioluminescent enzymatic reactions could be carried out in droplet reactors in dispersed streams. The parameters and limitations required for the bioluminescent reaction to proceed were also studied. Hereby, chemoenzymatic sensing capabilities powered by a droplet microfluidics manipulation technique may serve as the basis for early-warning online water pollution systems.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Droplet Microfluidics ; Luciferase ; Bioluminescence ; Sensing ; Chemoenzymatic System
Sprache englisch
Veröffentlichungsjahr 2022
HGF-Berichtsjahr 2022
ISSN (print) / ISBN 2072-666X
e-ISSN 2072-666X
Zeitschrift Micromachines
Quellenangaben Band: 13, Heft: 7, Seiten: , Artikelnummer: 1146 Supplement: ,
Verlag MDPI
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Functional Epigenetics (IFE)
POF Topic(s) 30203 - Molecular Targets and Therapies
Forschungsfeld(er) Helmholtz Diabetes Center
PSP-Element(e) G-502800-001
DOI 10.3390/mi13071146
WOS ID WOS:000832158800001
Scopus ID 85136349113
PubMed ID 35888963
Erfassungsdatum 2022-09-02
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