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Каталог книг и продолжающихся изданий библиотеки Института биофизики СО РАН
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Труды сотрудников ИБФ СО РАН
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1.


   
    Application of satellite data for investigation of dynamic processes in inland water bodies: Lake Shira (Khakasia, Siberia), a case study / A. P. Shevyrnogov, A. V. Kartushinsky, G. S. Vysotskaya // Aquatic Ecology. - 2002. - Vol. 36, Is. 2. - P153-163, DOI 10.1023/A:1015658927683 . - ISSN 1386-2588
Кл.слова (ненормированные):
Modelling -- Phytopigments -- Satellite data -- Satellite equipment -- Software -- Temperature -- AVHRR -- hydrodynamics -- lake -- limnology -- remote sensing -- saline lake -- satellite data -- water temperature -- Russian Federation
Аннотация: This work describes avenues to use satellite information to analyse dynamic processes in aquatic ecosystems. Information for this analysis, was retrieved from AVHRR satellite sensor data. This information consisteds of time series of images of radiation temperature and turbidity. We expect this information will be of great value in analysing inland water bodies. Methods to process satellite information using original software and data processing techniques are proposed. For the investigation of the process and analyses of satellite information Shira Lake (Khakasia, Siberia) was used as a case study. To study the variability of the surface temperature and turbidity of the Lake in summer, the satellite and ground-truth data of the lake was applied. This study represents the first evaluation of the dynamic processes for Lake Shira based on satellite, ground-truth and modelling data. We developed algorithms and software to process satellite images to enable the reconstruction of time dependence of temperature and spectral reflectance of water bodies in the visible range, and to make computer-animated films visualising the spatial and temporal dynamics of the study parameters. The analyses of morphometric, meteorological and hydrological characteristics of Lake Shira have provided a realistic opportunity for processing the satellite information and to develop numerical models of variability of the hydrological regime of the lake. The results obtained demonstrate the feasibility of systematically retrieving the spatial information from the satellite data on the dynamics of the surface water temperature and of the suspended matter in the lake.

Scopus
Держатели документа:
Institute of Biophysics of SB RAS, Akademgorodok, Krasnoyarsk 660036, Russian Federation : 660036, Красноярск, Академгородок, д. 50, стр. 50

Доп.точки доступа:
Shevyrnogov, A.P.; Kartushinsky, A.V.; Vysotskaya, G.S.

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2.


   
    A study of forest vegetation dynamics in the south of the Krasnoyarskii Krai in spring / M. Chernetskiy [et al.] // Advances in Space Research. - 2011. - Vol. 48, Is. 5. - P819-825, DOI 10.1016/j.asr.2011.04.032 . - ISSN 0273-1177
Кл.слова (ненормированные):
EVI -- Forestry -- MODIS -- NDVI -- Remote sensing -- Vegetation phenology -- Accurate measurement -- Annual time series -- Carbon exchange -- Data series -- Dynamic state -- Enhanced vegetation index -- EVI -- Forest vegetation -- Global scale -- Growth dynamics -- Interannual variability -- Moderate resolution imaging spectroradiometer -- MODIS -- NDVI -- Normalized difference vegetation index -- Principal components analysis -- Remote sensing applications -- Remote sensing data -- Satellite data -- Spatial structure -- Spring season -- Terrestrial ecosystems -- Vegetation dynamics -- Vegetation phenology -- Biology -- Climate models -- Dynamics -- Ecosystems -- Estimation -- Forestry -- Monitoring -- Principal component analysis -- Radiometers -- Remote sensing -- Satellite imagery -- Timber -- Time series -- User interfaces -- Vegetation -- Carbon -- Ecosystems -- Forests -- Image Analysis -- Plants -- Remote Sensing -- Time Series Analysis
Аннотация: Remote sensing applications have greatly enhanced ability to monitor and manage in the areas of forestry. Accurate measurements of regional and global scale vegetation dynamics (phenology) are required to improve models and understanding of inter-annual variability in terrestrial ecosystem carbon exchange and climate-biosphere interactions. Study of vegetation phenology is required for understanding of variability in ecosystem. In this paper, monitoring of vegetation dynamics using time series of satellite data is presented. Vegetation variability (vegetation rate) in different topoclimatic areas is investigated. Original software using IDL interactive language for processing of satellite long-term data series was developed. To investigate growth dynamics vegetation rate inferred from remote sensing was used. All estimations based on annual time series of Moderate Resolution Imaging Spectroradiometer (MODIS) imagery. Vegetation rate for Enhanced Vegetation Index (EVI) and Normalized Difference Vegetation Index (NDVI) was calculated using MODIS data. The time series covers spring seasons of each of 9 years, from 2000 to 2008. Comparison of EVI and NDVI derived growth rates has shown that NDVI derived rates reveal spatial structure better. Using long-term data of vegetation rates variance was estimated that helps to reveal areas with anomalous growth rate. Such estimation shows sensitivity degree of different areas to different topoclimatic conditions. Woods of heights depend on spatial topoclimatic variability unlike woods of lowlands. Principal components analysis shows vegetation with different rate conditions. Also it reveals vegetation of same type in areas with different conditions. It was demonstrated that using of methods for estimating the dynamic state of vegetation based on remote sensing data enables successful monitoring of vegetation phenology. В© 2011 COSPAR. Published by Elsevier Ltd. All rights reserved.

Scopus
Держатели документа:
Institute of Biophysics of SB RAS, Akademgorodok 50/50, Krasnoyarsk 660036, Russian Federation : 660036, Красноярск, Академгородок, д. 50, стр. 50

Доп.точки доступа:
Chernetskiy, M.; Pasko, I.; Shevyrnogov, A.; Slyusar, N.; Khodyayev, A.

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3.


   
    Theory, computational method and software for prognosis of migration and distribution of radioactive matters in river ecosystem [Text] / A. G. Degermendzhy, L. G. Kosolapova, P. V. Vlasik ; ed. AA Aldama [et al.] // COMPUTATIONAL METHODS IN WATER RESOURCES XI, VOL 2: COMPUTATIONAL METHODS IN SURFACE FLOW AND TRANSPORT PROBLEMS : COMPUTATIONAL MECHANICS PUBLICATIONS LTD, 1996. - 11th International Conference on Computational Methods in Water Resources (CMWR 96) (JUL, 1996, CANCUN, MEXICO). - P277-284. - Cited References: 0 . - 8. - ISBN 1-85312-487-7
РУБ Mathematics, Applied + Water Resources

Кл.слова (ненормированные):
mathematical modelling -- migration of radionuclides -- river ecosystem

Держатели документа:
RUSSIAN ACAD SCI,INST BIOPHYS,ACAD GORODOK,KRASNOYARSK 660026,RUSSIA : 660036, Красноярск, Академгородок, д. 50, стр. 50

Доп.точки доступа:
Degermendzhy, A.G.; Kosolapova, L.G.; Vlasik, P.V.; Aldama, AA \ed.\; Aparicio, J \ed.\; Brebbia, CA \ed.\; Gray, WG \ed.\; Herrera, I \ed.\; Herrer, I \ed.\

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4.


   
    NMR-derived Topology of a GFP-photoprotein Energy Transfer Complex [Text] / M. S. Titushin [et al.] // J. Biol. Chem. - 2010. - Vol. 285, Is. 52. - P40891-40900, DOI 10.1074/jbc.M110.133843. - Cited References: 54. - This work was supported by the National Natural Science Foundation of China, Ministry of Science and Technology of China, CAS Research Grant, CAS Fellowship for Young International Scientists Grant, Russian Foundation for Basic Research (08-09-92209 RFBR-China joint grant), SB RAS Grant 2, "Molecular and Cell Biology" program of RAS, Bayer AG (Germany), and by the University of Georgia Research Foundation and the Georgia Research Alliance. . - ISSN 0021-9258
РУБ Biochemistry & Molecular Biology
Рубрики:
GREEN-FLUORESCENT PROTEIN
   STRUCTURAL DETERMINANTS
   RENILLA BIOLUMINESCENCE
   ANGSTROM RESOLUTION
   CRYSTAL-STRUCTURE
   ELECTRON-DENSITY
   SOFTWARE
   PROGRAM
   BINDING
   SYSTEM
Аннотация: Forster resonance energy transfer within a protein-protein complex has previously been invoked to explain emission spectral modulation observed in several bioluminescence systems. Here we present a spatial structure of a complex of the Ca2+ regulated photoprotein clytin with its green-fluorescent protein (cgGFP) from the jellyfish Clytia gregaria, and show that it accounts for the bioluminescence properties of this system in vitro. We adopted an indirect approach of combining x-ray crystallography determined structures of the separate proteins, NMR spectroscopy, computational docking, and mutagenesis. Heteronuclear NMR spectroscopy using variously N-15, C-13, H-2-enriched proteins enabled assignment of backbone resonances of more than 94% of the residues of both proteins. In a mixture of the two proteins at millimolar concentrations, complexation was inferred from perturbations of certain H-1-N-15 HSQC-resonances, which could be mapped to those residues involved at the interaction site. A docking computation using HADDOCK was employed constrained by the sites of interaction, to deduce an overall spatial structure of the complex. Contacts within the clytin-cgGFP complex and electrostatic complementarity of interaction surfaces argued for a weak protein-protein complex. A weak affinity was also observed by isothermal titration calorimetry (K-D = 0.9 mM). Mutation of clytin residues located at the interaction site reduced the degree of protein-protein association concomitant with a loss of effectiveness of cgGFP in color-shifting the bioluminescence. It is suggested that this clytin-cgGFP structure corresponds to the transient complex previously postulated to account for the energy transfer effect of GFP in the bioluminescence of aequorin or Renilla luciferase.

Держатели документа:
[Wang, Jinfeng] Chinese Acad Sci, Inst Biophys, Natl Lab Biomacromol, Beijing 100101, Peoples R China
[Titushin, Maxim S.
Stepanyuk, Galina A.
Markova, Svetlana V.
Vysotski, Eugene S.] Russian Acad Sci, Inst Biophys, Siberian Branch, Lab Photobiol, Krasnoyarsk 660036, Russia
[Golz, Stefan] Bayer Schering Pharma AG, BSP GDD GTR TD GT, D-42096 Wuppertal, Germany
[Stepanyuk, Galina A.
Wang, Bi-Cheng
Lee, John] Univ Georgia, Dept Biochem & Mol Biol, Athens, GA 30602 USA
ИБФ СО РАН : 660036, Красноярск, Академгородок, д. 50, стр. 50

Доп.точки доступа:
Titushin, M.S.; Feng, Y.G.; Stepanyuk, G.A.; Li, Y...; Markova, S.V.; Golz, S...; Wang, B.C.; Lee, J...; Wang, J.F.; Vysotski, E.S.; Liu, Z.J.

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5.


   
    Theory and software of ecological-economical optimization of river water use [Text] / N. N. Degermendzhy, L. G. Kosolapova ; ed. AA Aldama [et al.] // COMPUTATIONAL METHODS IN WATER RESOURCES XI, VOL 2: COMPUTATIONAL METHODS IN SURFACE FLOW AND TRANSPORT PROBLEMS : COMPUTATIONAL MECHANICS PUBLICATIONS LTD, 1996. - 11th International Conference on Computational Methods in Water Resources (CMWR 96) (JUL, 1996, CANCUN, MEXICO). - P. 453-460. - Cited References: 0 . - ISBN 1-85312-487-7
РУБ Mathematics, Applied + Water Resources

Кл.слова (ненормированные):
mathematical model -- preparation of water -- self-purification -- optimization

WOS
Держатели документа:
RAS,INST BIOPHYS SB,ACAD GORODOK,KRASNOYARSK 660036,RUSSIA
ИБФ СО РАН : 660036, Красноярск, Академгородок, д. 50, стр. 50

Доп.точки доступа:
Degermendzhy, N.N.; Kosolapova, L.G.; Aldama, AA \ed.\; Aparicio, J \ed.\; Brebbia, CA \ed.\; Gray, WG \ed.\; Herrera, I \ed.\; Herrer, I \ed.\

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6.


   
    Evaluation of optimal configuration of hybrid life support system for space [Text] / S. I. Bartsev, V. V. Mezhevikin, V. A. Okhonin ; ed. TW Tibbitts [et al.] // LIFE SCIENCES: SPACE LIFE SUPPORT SYSTEMS AND THE LUNAR FARSIDE CRATER SAHA PROPOSAL. Ser. ADVANCES IN SPACE RESEARCH : PERGAMON PRESS LTD, 2000. - Vol. 26: F4 4 F4 5 and F3 7 Symposia of COSPAR Scientific Commission F Held at the 32nd COSPAR Scientific Assembly (JUL 12-19, 1998, NAGOYA, JAPAN), Is. 2. - P. 323-326, DOI 10.1016/S0273-1177(99)01071-6. - Cited References: 12 . - ISBN 0273-1177
РУБ Engineering, Aerospace + Food Science & Technology

Аннотация: Any comprehensive evaluation of Life Support Systems (LSS) for space applications has to be conducted taking into account not only mass of LSS components but also all relevant equipment and storage: spare parts, additional mass of space ship walls, power supply and heat rejection systems. In this paper different combinations of hybrid LSS (HLSS) components were evaluated. Three variants of power supply were under consideration - solar arrays, direct solar light transmission to plants, and nuclear power. The software based on simplex approach was used for optimizing LSS configuration with respect to its mass. It was shown that there are several LSS configuration, which are optimal for different time intervals. Optimal configurations of physical-chemical (P/C), biological and hybrid LSS for three types of power supply are presented. (C) 2000 COSPAR. Published by Elsevier Science Ltd.

WOS
Держатели документа:
RAS, SB, Inst Biophys, Krasnoyarsk 660036, Russia
ИБФ СО РАН : 660036, Красноярск, Академгородок, д. 50, стр. 50

Доп.точки доступа:
Bartsev, S.I.; Mezhevikin, V.V.; Okhonin, V.A.; Tibbitts, TW \ed.\; Wheeler, RM \ed.\; Mitchell, CA \ed.\

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7.


   
    The Information Content of Spectral Vegetation Indices in the Interpretation of Satellite Images of Cultivated Fields / T. I. Pisman [et al.] // Biophysics. - 2019. - Vol. 64, Is. 4. - P588-592, DOI 10.1134/S0006350919040158 . - ISSN 0006-3509
Кл.слова (ненормированные):
bare fallows -- Keywords: sod fields -- NDSI -- NDVI -- Sentinel-2
Аннотация: Abstract—The results of satellite monitoring of vegetation on unused agricultural lands during the growing season of 2018 are presented. Sod fields of different ages (2, 7, and 20 years) and bare fallows on the land used by the Krasnoyarsk Research Institute of Agriculture were the objects of the study. Satellite data with high spatial resolution (Sentinel-2 Earth remote sensing satellites) at the pre-processing Level-1C (https://earthexplorer.usgs.gov/) were used for the interpretation of sod field and fallow images. These data were used to calculate the Normalized Difference Vegetation Index (NDVI) and the Normalized Difference Soil Index (NDSI). Algorithms and software for the processing of Sentinel-2 satellite data were developed. The possibility of using NDVI dynamics for assessment and monitoring of the condition of sod fields and bare fallows has been demonstrated. The applicability of the NDSI soil index for assessment of the status of arable land has been demonstrated. © 2019, Pleiades Publishing, Inc.

Scopus,
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Держатели документа:
Institute of Biophysics, Siberian Branch, Russian Academy of Sciences, Akademgorodok, 50/50, Krasnoyarsk, 660036, Russian Federation
Agricultural Research Institute, Svobodnyi pr., 66, Krasnoyarsk, 660041, Russian Federation

Доп.точки доступа:
Pisman, T. I.; Shevyrnogov, A. P.; Larko, A. A.; Botvich, I. Y.; Emelyanov, D. V.; Shpedt, A. A.; Trubnikov, Y. N.

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8.


   
    A low-cost underwater particle tracking velocimetry system for measuring in situ particle flux and sedimentation rate in low-turbulence environments / S. Simoncelli [et al.] // Limnol. Oceanogr. Methods. - 2019, DOI 10.1002/lom3.10341 . - Article in press. - ISSN 1541-5856
Аннотация: We describe a low-cost three-dimensional underwater particle tracking velocimetry system to directly measure particle settling rate and flux in low-turbulence aquatic environments. The system consists of two waterproof cameras that acquire stereoscopic videos of sinking particles at 48 frames s?1 over a tunable sampling volume of about 45 ? 25 ? 24 cm. A dedicated software package has been developed to allow evaluation of particle velocities, concentration and flux, but also of morphometric parameters such as particle area, sinking angle, shape irregularity, and density. Our method offers several advantages over traditional approaches, like sediment trap or expensive in situ camera systems: (1) it does not require beforehand particle collection and handling; (2) it is not subjected to sediment trap biases from turbulence, horizontal advection, or presence of swimmers, that may alter particulate load and flux; (3) the camera system enables faster data processing and flux computation at higher spatial resolution; (4) apart from the particle settling rates, the particle size distribution, and morphology is determined. We tested the camera system in Lake Stechlin (Germany) in low turbulence and mean flow, and analyzed the morphological properties and settling rates of particles to determine their sinking behavior. The particle flux assessed from conventional sediment trap measurements agreed well with that determined by our system. By this, the low-cost approach demonstrated its reliability in low turbulence environments and a strong potential to provide new insights into particulate carbon transport in aquatic systems. Extension of the method to more turbulent and advective conditions is also discussed. © 2019 The Authors. Limnology and Oceanography: Methods published by Wiley Periodicals, Inc. on behalf of Association for the Sciences of Limnology and Oceanography.

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Держатели документа:
Leibniz-Institute of Freshwater Ecology and Inland Fisheries (IGB), Berlin, Germany
Institute of Biophysics, Siberian Branch of the Russian Academy of Sciences, Krasnoyarsk, Russian Federation
Potsdam University, Institute for Biochemistry and Biology, Potsdam, Germany

Доп.точки доступа:
Simoncelli, S.; Kirillin, G.; Tolomeev, A. P.; Grossart, H. -P.

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9.


   
    Time-space earth surface gradients for satellite monitoring of ecosystems / A. V. Kartushinsky, N. A. Ogorodov, A. A. Larko // CEUR Workshop Proceedings : CEUR-WS, 2019. - Vol. 2534: 2019 All-Russian Conference ""Spatial Data Processing for Monitoring of Natural and Anthropogenic Processes"", SDM 2019 (26 August 2019 through 30 August 2019, ) Conference code: 156641. - P366-370
Кл.слова (ненормированные):
Average seasonal variability -- Ecotone -- Frontal zones -- Gradient fields -- Regional features -- Satellite data -- Spatial averaging -- Synergistic effect -- Aquatic ecosystems -- Data handling -- Earth (planet) -- Satellites -- Ecotone -- Frontal zones -- Gradient fields -- Regional feature -- Satellite data -- Seasonal variability -- Spatial averaging -- Synergistic effect -- Monitoring
Аннотация: The results of Earth surface gradients characteristics calculate based on satellite data are presents. Dynamics structural features of horizontal gradient fields in aquatic objects and land ecosystems by physical, biological parameters are considered. Problems of the parametrization for environment exchanges evaluations with using numerical modeling based on satellite data and software tools are submitted. Spatial-temporal scaling and averaging of gradient components are discussed. Develop improved estimates of Earth surface gradients fields in the different ecosystems is considered. Copyright © 2019 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

Scopus
Держатели документа:
Institute of Biophysics SB RAS, Krasnoyarsk, Russian Federation
Siberian Federal University, Krasnoyarsk, Russian Federation
Federal Research Center KSC SB RAS, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Kartushinsky, A. V.; Ogorodov, N. A.; Larko, A. A.

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10.


   
    Information technology of satellite data processing for global ocean surface gradient characteristics calculation / N. A. Ogorodov, A. V. Kartushinsky // CEUR Workshop Proceedings : CEUR-WS, 2019. - Vol. 2534: 2019 All-Russian Conference ""Spatial Data Processing for Monitoring of Natural and Anthropogenic Processes"", SDM 2019 (26 August 2019 through 30 August 2019, ) Conference code: 156641. - P434-439
Кл.слова (ненормированные):
Format conversion -- Frontal zones -- Global data -- Gradientfields -- Mean seasonal variability -- Regional features -- Spatial averaging -- Computer software -- Monitoring -- Oceanography -- Satellites -- Format conversion -- Frontal zones -- Global data -- Gradientfields -- Regional feature -- Seasonal variability -- Spatial averaging -- Data handling
Аннотация: The structural components of information technology and software tools for calculating gradient characteristics of the global ocean surface based on satellite data are considered. The examples of calculation of the global ocean surface gradient fieldsusing information technology and software tools based on satellite data are submitted. A spatial-temporal averaging of gradients in accordance with scales of hydrophysical processes is discussed. The problems of spatial-temporal scaling and averaging of computed regions of the global ocean are considered. Copyright © 2019 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

Scopus
Держатели документа:
Federal Research Center KSC SB RAS, Krasnoyarsk, Russian Federation
Institute of Biophysics SB RAS, Krasnoyarsk, Russian Federation
Siberian Federal University, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Ogorodov, N. A.; Kartushinsky, A. V.

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11.


   
    Software for matching standard activity enzyme biosensors for soil pollution analysis / V. A. Kratasyuk, E. M. Kolosova, O. S. Sutormin [et al.] // Sensors. - 2021. - Vol. 21, Is. 3. - Ст. 1017. - P1-10, DOI 10.3390/s21031017 . - ISSN 1424-8220
Кл.слова (ненормированные):
Bacterial luciferase -- Biosensors -- Butyrylcholinesterase -- Enzyme -- Lactic dehydrogenase -- Software -- Soil pollution -- Biosensors -- Soil pollution -- Soil surveys -- Soils -- Commercial standards -- Environmental Monitoring -- Enzyme biosensors -- Enzyme systems -- Inhibitory effect -- JavaScript programming -- Soil sample -- Toxic agents -- Enzyme activity
Аннотация: 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. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.

Scopus
Держатели документа:
Department of Biophysics, Institute of Fundamental Biology and Biotechology, Siberian Federal University, 79 Svobodny pr, Krasnoyarsk, 660041, Russian Federation
Federal Research Center ‘Krasnoyarsk Science Center SB RAS’, Photobiology Laboratory, Institute of Biophysics, Russian Academy of Sciences, Siberian Branch, 50/50 Akagemgorodok, Krasnoyarsk, 660036, Russian Federation
Department of High-Efficiency Calculations, Siberian Federal University, 26-ULK building Kirensky St, Krasnoyarsk, 660074, Russian Federation
Federal Research Center ‘Krasnoyarsk Science Center SB RAS’, Krasnoyarsk Research Institute of Agriculture, Russian Academy of Sciences, Siberian Branch, 66 Svobodny pr, Krasnoyarsk, 660037, Russian Federation
Federal Research Center ‘Krasnoyarsk Scientific Center SB RAS’, Krasnoyarsk Research Institute of Agricultural, Siberian Federal University, 79 Svobodny pr, Krasnoyarsk, 660041, Russian Federation

Доп.точки доступа:
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.

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12.


   
    Software for Matching Standard Activity Enzyme Biosensors for Soil Pollution Analysis / V. A. Kratasyuk, E. M. Kolosova, O. S. Sutormin [et al.] // Sensors. - 2021. - Vol. 21, Is. 3. - Ст. 1017, DOI 10.3390/s21031017. - Cited References:20. - This research was funded by RFBR, Krasnoyarsk Territory and Krasnoyarsk Regional Fund of Science, Grant number 20-44-243001 and the Ministry of Science and Higher Education of the Russian Federation, Grant number FSRZ-2020-0006. . - ISSN 1424-8220
РУБ Chemistry, Analytical + Engineering, Electrical & Electronic + Instruments

Кл.слова (ненормированные):
biosensors -- enzyme -- butyrylcholinesterase -- lactic dehydrogenase -- bacterial luciferase -- soil pollution -- software
Аннотация: 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.

WOS
Держатели документа:
Siberian Fed Univ, Inst Fundamental Biol & Biotechol, Dept Biophys, 79 Svobodny Pr, Krasnoyarsk 660041, Russia.
Russian Acad Sci, Krasnoyarsk Sci Ctr SB RAS, Photobiol Lab, Fed Res Ctr,Siberian Branch,Inst Biophys, 50-50 Akagemgorodok, Krasnoyarsk 660036, Russia.
Siberian Fed Univ, Dept High Efficiency Calculat, 26 ULK Bldg Kirensky St, Krasnoyarsk 660074, Russia.
Russian Acad Sci, Krasnoyarsk Sci Ctr SB RAS, Krasnoyarsk Res Inst Agr, Siberian Branch,Fed Res Ctr, 66 Svobodny Pr, Krasnoyarsk 660037, Russia.
Siberian Fed Univ, Inst Fundamental Biol & Biotechol, Dept Aquat & Terr Ecosyst, 79 Svobodny Pr, Krasnoyarsk 660041, Russia.

Доп.точки доступа:
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.; RFBRRussian Foundation for Basic Research (RFBR); Krasnoyarsk Territory and Krasnoyarsk Regional Fund of Science [20-44-243001]; Ministry of Science and Higher Education of the Russian Federation [FSRZ-2020-0006]

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© Международная Ассоциация пользователей и разработчиков электронных библиотек и новых информационных технологий
(Ассоциация ЭБНИТ)