Developments of the laboratory
Laboratory staff developed the following analytical methods for determination of:
Developed screening methods:
Developed software:
- Concentrations of benzene, toluene, ethylbenzene and o-xylene in air by SPME-GC-MS
- Time-weighted average concentrations of benzene, toluene, ethylbenzene and o-xylene in exhaust gases of cars by SPME-GC-MS
- Concentration of phenol in soil by SPME-GC-MS
- Concentration of benzene, toluene, ethylbenzene and o-xylene in soil by SPME-GC-MS
- Concentration of 1-methyl-1H-1,2,4-triazole in soil by SPME-GC-MS
- Concentration of 1-methyl-1H-1,2,4-triazole in soil GC-MS after solvent extraction
- Concentration of N-nitrosodimethylamine in water by SPME-GC-MS
- Concentration of N-nitrosodimethylamine in soil by SPME-GC-MS
- Concentration of formaldehyde dimethylhydrazone in water by SPME-GC-MS and SPME-GC-NPD
- Concentrations of 1-methyl-1H-1,2,4-triazole, N-nitrosodimethylamine, 1-formyl-2,2-dimethylhydrazine and formaldehyde dimethylhydrazone in water by HPLC with diode array detection
- Concentration of 1,1-dimethylhydrazine in soil water and plants by HPLC after derivatization by p-nitrobenzaldehyde
- Concentration of 1,1-dimethylhydrazine in soil water and plants by GC-MS after derivatization by p-nitrobenzaldehyde
- Concentration of 1,1-dimethylhydrazine in milk by ion chromatography with amperometric detection
- Concentrations of sorbate and benzoate ions in milk and juices by HPLC with diode array detection
- Total petroleum hydrocarbons in soil by SPME-GC-MS
Developed screening methods:
- Transformation products of 1,1-dimethylhtydrazine in soil and water by SPME-GC-MS
- Petroleum hydrocarbons in water by SPME-GC-MS
- Volatile organic compounds in air and exhaust gases by SPME-GC-MS
- Volatile organic compounds in foodstuff by SPME-GC-MS
- Volatile organic compounds in alcoholic beverages (brandy, vodka, whisky, etc. by SPME-GC-MS
Developed software:
- Simultaneous determination of component and fractional composition of oil and petroleum products based on results of GC-MS analysis
- Statistical data processing by principal component analysis, hierarchical clustering and linear discriminant analysis for classification of samples based on their chemical composition
- Checking and export of references to Crossref database (for scientific journals)