Software for Matching Standard Activity Enzyme Biosensors for Soil Pollution Analysis

Valentina A. Kratasyuk; Elizaveta M. Kolosova; Oleg S. Sutormin; Viktoriya I. Lonshakova-Mukina; Matvey M. Baygin; Nadezhda V. Rimatskaya; Irina E. Sukovataya; Alexander A. Shpedt

doi:10.3390/s21031017

Sensors (Feb 2021)

Software for Matching Standard Activity Enzyme Biosensors for Soil Pollution Analysis

Valentina A. Kratasyuk,
Elizaveta M. Kolosova,
Oleg S. Sutormin,
Viktoriya I. Lonshakova-Mukina,
Matvey M. Baygin,
Nadezhda V. Rimatskaya,
Irina E. Sukovataya,
Alexander A. Shpedt

Affiliations

Valentina A. Kratasyuk: Department of Biophysics, Institute of Fundamental Biology and Biotechology, Siberian Federal University, 79 Svobodny pr., 660041 Krasnoyarsk, Russia
Elizaveta M. Kolosova: Department of Biophysics, Institute of Fundamental Biology and Biotechology, Siberian Federal University, 79 Svobodny pr., 660041 Krasnoyarsk, Russia
Oleg S. Sutormin: Department of Biophysics, Institute of Fundamental Biology and Biotechology, Siberian Federal University, 79 Svobodny pr., 660041 Krasnoyarsk, Russia
Viktoriya I. Lonshakova-Mukina: Department of Biophysics, Institute of Fundamental Biology and Biotechology, Siberian Federal University, 79 Svobodny pr., 660041 Krasnoyarsk, Russia
Matvey M. Baygin: Department of High-Efficiency Calculations, Siberian Federal University, 26-ULK building Kirensky St., 660074 Krasnoyarsk, Russia
Nadezhda V. Rimatskaya: Department of Biophysics, Institute of Fundamental Biology and Biotechology, Siberian Federal University, 79 Svobodny pr., 660041 Krasnoyarsk, Russia
Irina E. Sukovataya: Department of Biophysics, Institute of Fundamental Biology and Biotechology, Siberian Federal University, 79 Svobodny pr., 660041 Krasnoyarsk, Russia
Alexander A. Shpedt: 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

DOI: https://doi.org/10.3390/s21031017
Journal volume & issue: Vol. 21, no. 3
p. 1017

Abstract

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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.

Published in Sensors

ISSN: 1424-8220 (Online)
Publisher: MDPI AG
Country of publisher: Switzerland
LCC subjects: Technology: Chemical technology
Website: http://www.mdpi.com/journal/sensors

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