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
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.
