Preview

Industrial laboratory. Diagnostics of materials

Advanced search

Gaining of analytical information about a compound for structural group analysis using mass spectra of negative ions

https://doi.org/10.26896/1028-6861-2019-85-8-8-15

Abstract

Successful functioning of expert systems designed for determination of the molecular structure of organic compounds by spectral characteristics requires the availability of most complete initial analytical information. Successful functioning of expert systems designed for determination of the molecular structure of organic compounds by spectral characteristics requires the availability of most complete initial analytical information which necessitates summarizing and using data gained in different analytical methods. We consider prospects of gaining new information about test compounds by the method of resonant electron capture negative ion mass spectrometry using a serial quadrupole mass-spectrometer. A number of phosphorus-containing organic compounds are used to demonstrate a possibility of recording mass spectrum peaks of deprotonated molecules, which is rather important for determination of the molecular mass and, hence, correct identification of the compound. Examples of successful detection of the fragments with positive electron affinity present in the structure of compounds under study are listed. The obtained results substantially differ from that obtained by the “classical” method of electron ionization positive ion mass spectrometry and can be considered as a complementary data about the structure of compounds for the purposes of structural group analysis., We also present the results of experiments in which mass spectra of negative ions were obtained using the advanced cathode power supply device via multiple change in the energy of ionizing electrons during the analysis. The possibility of implementing both analytical methods on the same device is an additional advantage of this approach.

About the Authors

A. G. Terentyev
Dmitry Mendeleev University of Chemical Technology of Russia
Russian Federation

Andrey G. Terentyev.

9, Miusskaya pl., Moscow, 125047.



A. V. Dudkin
Military Academy of Nuclear, Biological, and Chemical Defence
Russian Federation

Alexander V. Dudkin.

16, Gor’kogo ul., Kostroma, 156015.



Yu. I. Morozik
Military Academy of Nuclear, Biological, and Chemical Defence
Russian Federation

Yuri I. Morozik.

16, Gor’kogo ul., Kostroma, 156015.



References

1. Chen W. L. Chemoinformatics: Past, Present, and Future / J. Chem. Inf. Model. 2006. Vol. 46. P 2230 - 2255.

2. NIST/EPA/NIH, National Institute of Standards and Technology (NIST), U. S. Department of Commerce, Gaithersburg, MD, USA. NIST Mass Spectral Library’11 Version, 2011.

3. MDL Information Systems. CrossFire Commander Server, version 6.0, 2003.

4. Lindsay R., Buchanan B., Feigenbaum E., Lederberg J. Applications of Artificial Intelligence for Organic Chemistry: The DENDRAL Project. NY: McGraw-Hill, 1980.

5. Elyashberg M., Serov V, Martirosyan E., et al. An expert system for molecular structure elucidation based on spectral data / J. Mol. Struct. (Theochem). 1991. Vol. 230. P. 191 - 203.

6. Elyashberg M., Karasev Y., Martirosian E., et al. Expert systems as a tool for the molecular structure elucidation by spectral methods. Strategies of solution to theproblems / Anal. Chim. Acta. 1997. Vol. 348. P 443 - 463.

7. Elyashberg M., Martirosian E., Karasev Y., et al. X-PERT: A user friendly expert system for molecular structure elucidation by spectral methods / Anal. Chim. Acta. 1997. Vol. 337. P. 265 - 286.

8. Elyashberg M., Blinov K., and Martirosian E. A new approach to computer-aided molecular structure elucidation: The expert system Structure Elucidator / Lab. Autom. Inf. Man. 1999. N 34. P 15 - 30.

9. Christie B., Munk M. The role of two-dimensional nuclear magnetic resonance spectroscopy in computer-enhanced structure elucidation / J. Am. Chem. Soc. 1991. Vol. 113. P 3750 - 3757.

10. Funatsu K., Miyabayashi N., Sasaki S. Further development of structure generation in the automated structure elucidation system CHEMICS / J. Chem. Inf. Comput. Sci. 1998. Vol. 28. P 18 - 28.

11. Funatsu K., Sasaki S. Recent advances in the automated structure elucidation system, CHEMICS. Utilization of two-dimensional NMR spectral information and development of peripheral functions for examination of candidates / J. Chem. Inf. Comput. Sci. 1996. Vol. 36. P 190 - 204.

12. Will M., Fachinger W., Richert J. Fully automated structure elucidation — a spectroscopist’s dream comes true / J. Chem. Inf. Comput. Sci. 1996. Vol. 36. P 221 - 227.

13. Luinge H. J. EXSPEC: A Knowledge-Based System for Structure Analysis of Organic Molecules from Combined Spectral Data. PhD thesis, Universiteit Utrecht, 1989.

14. Luinge H. J., Maas J. Artificial intelligence for the interpretation of combined spectral data. Design and development of a spectrum interpreter / Anal. Chim. Acta. 1989. Vol. 223. P 135 - 147.

15. Lebedev K., Cabrol-Bass D. New computer aided methods for revealing structural features of unknown compounds using low resolution mass spectra / J. Chem. Inf. Comput. Sci. 1998. Vol. 38. P 410 - 419.

16. Neudert R., Penk M. Enhanced structure elucidation / J. Chem. Inf. Comput. Sci. 1996. Vol. 36. P 244 - 248.

17. Derendayev B. G., Strokov 1.1., Lebedev K. S. Search and retrieval system ChemART. Obtaining a structural formula from a mass spectrum / Analitica i kontrol’. 2005. Vol. 9. N 1. P 3 - 16 [in Russian].

18. Werther W., Lohninger H., Stancl F., and Varmuza K. Classification of mass spectra: A comparison of yes/no classification methods for the recognition of simple structural properties. Chemom. Intell. Lab. Syst. 1994. Vol. 22. N 1. P 63 - 76.

19. Samokhin A. S., Revelsky I. A. Intensity of molecular ion peak in electron ionization mass spectra / Mass-spektrometria. 2012. Vol. 9. N 1. P 58 - 60 [in Russia].

20. Kireev A. F., Rybal’chenko I. V, Savchuk V I., Suvorkin V N. Chemical Ionization Methods in Selective Chromatography-Mass Spectrometry of Alkylphosphonic Acid Derivatives / J. Anal. Chem. 2002. Vol. 57. N 6. P 529 - 536.

21. Rodin I. A., Braun A. V, Stavrianidi A. N., et al. Detection of biomarkers of nerve agents by liquid chromatography tandem mass spectrometry / Analitika i kontrol’. 2012. Vol. 16. N3.P 254-259.

22. Terentyev A. G., Khatymov R. V, Ivanova M. V Application of negative ion mass spectrometry in the gc-ms apparatus for analytical purposes / Izv. Ufimskogo nauchnogo Centra RAN. 2014. N 3. P 86 [in Russian].

23. Khvostenko V. I. Mass-spectrometry of the Negative Ions in Organic Chemistry. — Moscow: Nauka, 1981. P 163 [in Russian].

24. Mazunov V A., Schukin P V, Khatymov R. V, Muftakhov M. V. Negative ion mass spectrometry in the resonant electron capture mode (tutorial review) / Mass-spektrometriya. 2006. Vol. 3. N 1. P 11 - 32 [in Russian].

25. Lebedev A. T., Lebedev K. S., Myasoedov B. F., et al. Identification of highly toxic alkyl fluorophosphonates by mass spectrometry / Mass-spektrometriya. 2006. Vol. 3. N 4. P. 277 - 283 [in Russian].

26. Database of mass spectra of negative ions of toxic chemicals (varhbz). Certificate of registration of database N 2015621486 from Sept 24, 2015.

27. Lebedev A. T., Mass Spectrometry in Organic Chemistry. — Moscow: Binom, 2015. — 493 p. [in Russian].

28. Gurvich L. W. et al. The energy of breaking chemical bonds. Ionization potentials and electron affinity. Akademiya nauk SSSR. — Moscow: Nauka, 1974. P 290 - 341 [in Russian].

29. Kikoin I. K. et al. Tables of physical quantities: a handbook. I. K. Kikoin (Ed.). — Moscow: Atomizdat, 1976. P 421 -423 [in Russian].

30. Grigoriev I. S. et al. Physical magnitudes: a handbook. — Moscow: Energoatomizdat, 1991. P 421 - 422 [in Russian].


Review

For citations:


Terentyev A.G., Dudkin A.V., Morozik Yu.I. Gaining of analytical information about a compound for structural group analysis using mass spectra of negative ions. Industrial laboratory. Diagnostics of materials. 2019;85(8):8-15. (In Russ.) https://doi.org/10.26896/1028-6861-2019-85-8-8-15

Views: 787


ISSN 1028-6861 (Print)
ISSN 2588-0187 (Online)