Capabilities of the Chromatek-DHA Software for Determining the Quality of Automobile Gasoline
https://doi.org/10.30764/1819-2785-2022-1-38-49
Abstract
The article addresses factors able to influence the results of determining the performance characteristics of gasoline using calculation methods. The author presents the results of a study of three brands of automobile gasoline conducted by means of gas-liquid chromatography with Chromatek-DHA software. The calculated operational characteristics of gasoline have been compared with the results of their analysis by standardized methods. The article demonstrates the possibility of using data on the group hydrocarbon composition in solving expert identification tasks regarding automobile gasoline that has not been exposed to external factors.
About the Author
O. V. SamoilovaRussian Federation
Samoilova Ol’ga Viktorovna – Lead State Forensic Expert of the Laboratory of Forensic Examination of Materials, Substances and Products
Moscow 109028
References
1. Pasadakis N., Gaganis V., Foteinopoulos C. Octane Number Prediction for Gasoline Blends. Fuel Processing Technology. 2006. Vol. 87. No. 6. P. 505–509. https://doi.org/10.1016/j.fuproc.2005.11.006
2. Emel’yanov V.E. All about Fuel. Automobile Gasoline. Properties, Assortment, Use. Moscow: AST: Astrel’, 2003. 79 p. (In Russ.).
3. Gureev A.A., Zhorov Yu.M., Smidovich E.V. Production of High-Octane Gasoline. Moscow: Khimiya, 1980. 224 p. (In Russ.).
4. Pozdyaev V.V., Somov V.E., Lisitsyn N.V., Kuzichkin N.V. Optimal Compounding of Gasoline. Oil Processing and Petrochemistry. 2002. No. 10. P. 53–57. In Russ.).
5. Lisitsyn N.V., Goshkin V.P., Pozdyaev V.V., Kuzichkin N.V. Methodology for Building an Optimal Compounding System for Commercial Petroleum Products. Russian Chemical Industry. 2003. Vol. 80. No. 8. P. 15–20. (In Russ.).
6. Sakhnevich B.V., Kirgina M.V., Chekantsev N.V., Ivanchina E.D. Development of Module of Automatic Chromatography Data Systematization for Increasing the Efficiency of Trade Gasoline Blending Process. Bulletin of the Tomsk Polytechnic University. 2014. Vol. 324. No. 3. P. 127–135. (In Russ.).
7. Smyshlyaeva Yu.A., Ivanchina E.D., Kravtsov A.V., Zyong Ch.T., Fan F. Development of an Octane Number Database for a Mathematical Model of the Compounding Process of Commercial Gasoline. Bulletin of the Tomsk Polytechnic University. 2011. Vol. 318. No. 3. P. 75–80. (In Russ.).
8. Romanova R.G., Sitdikov R.R. Multifactor Models for Determining the Octane Number of Gasoline. Bulletin of the Technological University.2017. Vol. 20. No. 11. P. 40–44. (In Russ.).
9. Anderson P.C., Sharkey J.M., Walsh R.P. Calculation of Research Octane Number of Motor Gasolines from Chromatographical Data and a New Approach to Motor Gasoline Quality Control. Journal of the Institute of Petroleum. 1972. Vol. 58. No. 560. Р. 83–91.
10. Cherepitsa S.V., Bychkov S.M., Gatsikha S.V., Kovalenko A.N., Mazanik A.L., Kuzmenkov D.E., Luchinina Y.L., Gremyako N.N. Gas Chromatographic Analysis of Automobile Gasolines. Chemistry and Technology of Fuels and Oils. 2001. Vol. 37. No. 4. P. 283–290. https://doi.org/10.1023/A:1012368107443
11. Boitsov V.N., Vishnetskaya M.V., Meshcheryakov S.V., Rudyk E.M., Rudyk M.E. Patent No. 2148826 RU, IPC G 01 N 33/22, G 01 N 30/02. A Method for Determining the Anti-Knock Characteristics of Gasoline. Published 10.05.2000.
12. Machulin L.V. The Problem of Quick Determination of Octane Number and the Ways of Its Solution. Oil Processing and Petrochemistry. 2013. No. 9. P. 13–18. (In Russ.).
13. Kizima D.E., Pivovarov P.P. Express Control of the Most Important Gasoline Parameters (RealTime Measurement Using Near-Infrared Analyzers) / StatSoft Knowledge Portal. (In Russ.). http://statistica.ru/local-portals/industry-analytics/example/550/
14. Ivanchina E.D., Ivashkina E.N., Khrapov D.V., Korotkova N.V., Kleimenov A.V., Golovachev V.A. Enhanced Production of Various Grades of Gasoline Based on Studies of Intermolecular Interactions of Blend Components and the Composition of the Processed Feedstock. Chemistry and Technology of Fuels and Oils. 2017. Vol. 53. No. 2. P. 181–196. https://doi.org/10.1007/s10553-017-0794-6
15. Astakhov A.V. Chromatographic Methods of Hydrocarbon Fuel Analysis. Analytics. 2014. No. 2. P. 50–55. (In Russ.).
Review
For citations:
Samoilova O.V. Capabilities of the Chromatek-DHA Software for Determining the Quality of Automobile Gasoline. Theory and Practice of Forensic Science. 2022;17(1):38-49. (In Russ.) https://doi.org/10.30764/1819-2785-2022-1-38-49