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Open AccessProceedings

Droplet Reactors with Bioluminescent Enzymes for Real-Time Water Pollution Monitoring

1
Siberian Federal University, 660041 Krasnoyarsk, Russia
2
Alferov Saint Petersburg National Research Academic University of the Russian Academy of Sciences, 194021 Saint Petersburg, Russia
3
Federal Research Center “Krasnoyarsk Science Center SB RAS”, 660036 Krasnoyarsk, Russia
4
Institute of Silicate Chemistry of the Russian Academy of Sciences, 199034 Saint Petersburg, Russia
5
Institute of Functional Epigenetics, Helmholtz Zentrum München, D-85764 Neuherberg, Germany
6
Institute for Analytical Instrumentation of the Russian Academy of Sciences, 190103 Saint Petersburg, Russia
*
Author to whom correspondence should be addressed.
Presented at the 1st International Electronic Conference on Biosensors, 2–17 November 2020; Available online: https://iecb2020.sciforum.net/.
These authors contributed equally to this work.
Proceedings 2020, 60(1), 54; https://doi.org/10.3390/IECB2020-07046
Published: 25 November 2020
(This article belongs to the Proceedings of The 1st International Electronic Conference on Biosensors)
Early detection of pollutants in wastewater, water coming out of treatment facilities, drinking water, and water for agricultural needs is a challenging problem. Effective water quality monitoring requires development of new methods for express detection of pollutants. Enzymes from bioluminescent bacteria can be used for the development of new express enzyme-based bioassay systems. This work demonstrates, for the first time, a microfluidic chip to generate emulsion droplets containing two enzymes of the bacterial bioluminescent system (luciferase and NAD(P)H:FMN-oxidoreductase) with reaction substrates. The developed chip generated “water-in-oil” emulsion droplets with a volume of 0.1 μL and a frequency of up to 12 droplets per second. A portable photomultiplier tube (PMT) was used to measure the bioluminescent signal in each individual droplet; the signal-to-noise ratio was 3000/1. The intensity of luminescence in droplets depended on the concentration of copper ions. The limit of detection (LOD) for copper sulfate was 1 mg/L. We showed that bioluminescent enzymatic reactions can be carried out in droplet reactors that can be applied for online monitoring of water quality. Thus, the suggested method of biological measurements has a good perspective for biosensing in general.
Keywords: early warning systems; luciferase; microfluidic droplet generator; emulsion; bioassay early warning systems; luciferase; microfluidic droplet generator; emulsion; bioassay
MDPI and ACS Style

Yakimov, A.S.; Denisov, I.A.; Bukatin, A.S.; Lukyanenko, K.A.; Belousov, K.I.; Kukhtevich, I.V.; Esimbekova, E.N.; Evstrapov, A.A.; Belobrov, P.I. Droplet Reactors with Bioluminescent Enzymes for Real-Time Water Pollution Monitoring. Proceedings 2020, 60, 54. https://doi.org/10.3390/IECB2020-07046

AMA Style

Yakimov AS, Denisov IA, Bukatin AS, Lukyanenko KA, Belousov KI, Kukhtevich IV, Esimbekova EN, Evstrapov AA, Belobrov PI. Droplet Reactors with Bioluminescent Enzymes for Real-Time Water Pollution Monitoring. Proceedings. 2020; 60(1):54. https://doi.org/10.3390/IECB2020-07046

Chicago/Turabian Style

Yakimov, Anton S.; Denisov, Ivan A.; Bukatin, Anton S.; Lukyanenko, Kirill A.; Belousov, Kirill I.; Kukhtevich, Igor V.; Esimbekova, Elena N.; Evstrapov, Anatoly A.; Belobrov, Peter I. 2020. "Droplet Reactors with Bioluminescent Enzymes for Real-Time Water Pollution Monitoring" Proceedings 60, no. 1: 54. https://doi.org/10.3390/IECB2020-07046

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