A5042107834- Metabolomics and Mass Spectrometry Studies
- Weed Control and Herbicide Applications
- X-ray Diffraction in Crystallography
- Pesticide and Herbicide Environmental Studies
- Crystallization and Solubility Studies
- Analytical Chemistry and Chromatography
- Spectroscopy and Chemometric Analyses
- Hops Chemistry and Applications
- Insect and Pesticide Research
- Fermentation and Sensory Analysis
- Boron Compounds in Chemistry
- Antibiotic Resistance in Bacteria
- Chromatography in Natural Products
- Advanced Proteomics Techniques and Applications
- Microbial bioremediation and biosurfactants
- Petroleum Processing and Analysis
- Toxin Mechanisms and Immunotoxins
- Data Analysis with R
- Pesticide Residue Analysis and Safety
- Pharmaceutical and Antibiotic Environmental Impacts
- Crystallography and molecular interactions
- Pneumocystis jirovecii pneumonia detection and treatment
- Soil Carbon and Nitrogen Dynamics
- Pesticide Exposure and Toxicity
- Fungal Plant Pathogen Control
Lomonosov Moscow State University
2018-2023
Moscow State University
2020-2023
Division of Chemistry
2020
The novel members of the 1,2-diboraoxazoles family have been obtained. In present work, we carried out intramolecular ring-closure reaction borylated iminols general type [B10H9N=C(OH)R]− (R = Me, Et, nPr, iPr, tBu, Ph, 4-Cl-Ph). This process is conducted in mild conditions with 83–87% yields. solid-state structures two salts were additionally investigated by X-ray crystallography. addition, phenomena bonding interactions 1,2-diboraoxazole cycles theoretically studied Quantum Theory Atoms...
Large-scale untargeted LC-MS-based metabolomic profiling is a valuable source for systems biology and biomarker discovery. Data analysis processing are major tasks due to the high complexity of generated signals presence unwanted variations. In present study, we introduce an R-based open-source collection scripts called OUKS (Omics Untargeted Key Script), which provides comprehensive data processing. developed by integrating various R packages metabolomics software tools can be easily set up...
The data processing workflow for LC-MS based metabolomics study is suggested with signal drift correction, univariate analysis, supervised learning, feature selection and unsupervised modelling.
Omics approaches in plant analysis find many different applications, from classification to new bioactive compounds discovery. Metabolomics seems be one of the most informative ways describing plants' phenotypes, since commonly used methods such as liquid chromatography-mass spectrometry (LC-MS) and nuclear magnetic resonance spectroscopy (NMR) could provide a huge amount information about samples. However, due high efficiency, disadvantages arise with complexity experimental design. In...
A viral development of statistical data processing, computing capabilities, chromatography-mass spectrometry, and omics technologies (technologies based on the achievements genomics, transcriptomics, proteomics, metabolomics) in recent decades has not led to formation a unified protocol for untargeted profiling. Systematic errors reduce reproducibility reliability obtained results, at same time hinder consolidation analysis gained large-scale multi-day experiments. We propose an algorithm...
In a model laboratory experiment on infertile arable soil with low biological activity, it was found that the introduction of glyphosate leads to short-term change in intensity main processes microbial transformation nitrogen soil. When incubating at maximum recommended dose 8 l/ha for 22 days, there is an increase nitrogen-fixing and denitrifying activity by 30–80% 300% decrease nitrification process 20–40%. The effects are nature do not reflect entire complex ongoing microbiological...