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Software for Matching Standard Activity Enzyme Biosensors for Soil Pollution Analysis

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Department of Biophysics, Institute of Fundamental Biology and Biotechology, Siberian Federal University, 79 Svobodny pr., 660041 Krasnoyarsk, Russia
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Federal Research Center ‘Krasnoyarsk Science Center SB RAS’, Photobiology Laboratory, Institute of Biophysics, Russian Academy of Sciences, Siberian Branch, 50/50 Akagemgorodok, 660036 Krasnoyarsk, Russia
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Department of High-Efficiency Calculations, Siberian Federal University, 26-ULK building Kirensky St., 660074 Krasnoyarsk, Russia
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Federal Research Center ‘Krasnoyarsk Science Center SB RAS’, Krasnoyarsk Research Institute of Agriculture, Russian Academy of Sciences, Siberian Branch, 66 Svobodny pr., 660037 Krasnoyarsk, Russia
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Department of Aquatic and Terrestrial Ecosystems, Institute of Fundamental Biology and Biotechology, Siberian Federal University, 79 Svobodny pr., 660041 Krasnoyarsk, Russia
*
Author to whom correspondence should be addressed.
Academic Editor: Ambra Giannetti
Sensors 2021, 21(3), 1017; https://doi.org/10.3390/s21031017
Received: 6 January 2021 / Revised: 25 January 2021 / Accepted: 29 January 2021 / Published: 2 February 2021
(This article belongs to the Special Issue Fluorescence and Chemical Luminescence Sensors)
This work is dedicated to developing enzyme biosensor software to solve problems regarding soil pollution analysis. An algorithm and specialised software have been developed which stores, analyses and visualises data using JavaScript programming language. The developed software is based on matching data of 51 non-commercial standard soil samples and their inhibitory effects on three enzyme systems of varying complexity. This approach is able to identify the influence of chemical properties soil samples, without toxic agents, on enzyme biosensors. Such software may find wide use in environmental monitoring. View Full-Text
Keywords: biosensors; enzyme; butyrylcholinesterase; lactic dehydrogenase; bacterial luciferase; soil pollution; software biosensors; enzyme; butyrylcholinesterase; lactic dehydrogenase; bacterial luciferase; soil pollution; software
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MDPI and ACS Style

Kratasyuk, V.A.; Kolosova, E.M.; Sutormin, O.S.; Lonshakova-Mukina, V.I.; Baygin, M.M.; Rimatskaya, N.V.; Sukovataya, I.E.; Shpedt, A.A. Software for Matching Standard Activity Enzyme Biosensors for Soil Pollution Analysis. Sensors 2021, 21, 1017. https://doi.org/10.3390/s21031017

AMA Style

Kratasyuk VA, Kolosova EM, Sutormin OS, Lonshakova-Mukina VI, Baygin MM, Rimatskaya NV, Sukovataya IE, Shpedt AA. Software for Matching Standard Activity Enzyme Biosensors for Soil Pollution Analysis. Sensors. 2021; 21(3):1017. https://doi.org/10.3390/s21031017

Chicago/Turabian Style

Kratasyuk, Valentina A.; Kolosova, Elizaveta M.; Sutormin, Oleg S.; Lonshakova-Mukina, Viktoriya I.; Baygin, Matvey M.; Rimatskaya, Nadezhda V.; Sukovataya, Irina E.; Shpedt, Alexander A. 2021. "Software for Matching Standard Activity Enzyme Biosensors for Soil Pollution Analysis" Sensors 21, no. 3: 1017. https://doi.org/10.3390/s21031017

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