Software for Matching Standard Activity Enzyme Biosensors for Soil Pollution Analysis
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...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-02-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/21/3/1017 |
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| author | 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 |
| author_facet | 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 |
| author_sort | Valentina A. Kratasyuk |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T06:01:27Z |
| format | Article |
| id | doaj.art-8b5b8ad1bd5445e2bde9017f6b9c1d1f |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T06:01:27Z |
| publishDate | 2021-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-8b5b8ad1bd5445e2bde9017f6b9c1d1f2023-12-03T12:08:23ZengMDPI AGSensors1424-82202021-02-01213101710.3390/s21031017Software for Matching Standard Activity Enzyme Biosensors for Soil Pollution AnalysisValentina A. Kratasyuk0Elizaveta M. Kolosova1Oleg S. Sutormin2Viktoriya I. Lonshakova-Mukina3Matvey M. Baygin4Nadezhda V. Rimatskaya5Irina E. Sukovataya6Alexander A. Shpedt7Department of Biophysics, Institute of Fundamental Biology and Biotechology, Siberian Federal University, 79 Svobodny pr., 660041 Krasnoyarsk, RussiaDepartment of Biophysics, Institute of Fundamental Biology and Biotechology, Siberian Federal University, 79 Svobodny pr., 660041 Krasnoyarsk, RussiaDepartment of Biophysics, Institute of Fundamental Biology and Biotechology, Siberian Federal University, 79 Svobodny pr., 660041 Krasnoyarsk, RussiaDepartment of Biophysics, Institute of Fundamental Biology and Biotechology, Siberian Federal University, 79 Svobodny pr., 660041 Krasnoyarsk, RussiaDepartment of High-Efficiency Calculations, Siberian Federal University, 26-ULK building Kirensky St., 660074 Krasnoyarsk, RussiaDepartment of Biophysics, Institute of Fundamental Biology and Biotechology, Siberian Federal University, 79 Svobodny pr., 660041 Krasnoyarsk, RussiaDepartment of Biophysics, Institute of Fundamental Biology and Biotechology, Siberian Federal University, 79 Svobodny pr., 660041 Krasnoyarsk, RussiaFederal Research Center ‘Krasnoyarsk Science Center SB RAS’, Krasnoyarsk Research Institute of Agriculture, Russian Academy of Sciences, Siberian Branch, 66 Svobodny pr., 660037 Krasnoyarsk, RussiaThis 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.https://www.mdpi.com/1424-8220/21/3/1017biosensorsenzymebutyrylcholinesteraselactic dehydrogenasebacterial luciferasesoil pollution |
| spellingShingle | 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 Software for Matching Standard Activity Enzyme Biosensors for Soil Pollution Analysis Sensors biosensors enzyme butyrylcholinesterase lactic dehydrogenase bacterial luciferase soil pollution |
| title | Software for Matching Standard Activity Enzyme Biosensors for Soil Pollution Analysis |
| title_full | Software for Matching Standard Activity Enzyme Biosensors for Soil Pollution Analysis |
| title_fullStr | Software for Matching Standard Activity Enzyme Biosensors for Soil Pollution Analysis |
| title_full_unstemmed | Software for Matching Standard Activity Enzyme Biosensors for Soil Pollution Analysis |
| title_short | Software for Matching Standard Activity Enzyme Biosensors for Soil Pollution Analysis |
| title_sort | software for matching standard activity enzyme biosensors for soil pollution analysis |
| topic | biosensors enzyme butyrylcholinesterase lactic dehydrogenase bacterial luciferase soil pollution |
| url | https://www.mdpi.com/1424-8220/21/3/1017 |
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