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Improving Gas Chromatography–Mass Spectrometry Analysis of Essential Oils by Multivariate Curve Resolution: Full Identification of Co-eluting Compounds of Dracocephalum moldavica L.

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An Erratum to this article was published on 13 July 2017

Abstract

Methods such as gas chromatography coupled with mass spectrometry (GC–MS) are crucial for identification compounds of essential oils. This is a necessity when analyzing highly complex samples; all overlapped signals must be resolved and identified with high confidence. In this study, gas chromatography–mass spectrometry (GC–MS) combined with iterative resolution methods was used to characterize the essential oil components of Iranian Dracocephalum moldavica L. (D. moldavica). Due to the medicinal importance of D. moldavica, full identification of the components was performed using for the first time multivariate curve resolution-alternative least squares (MCR-ALS) as an auxiliary means to the analysis overlapping peaks. The analysis of GC–MS data revealed that 47 components exist in the D. moldavica essential oil and a total of 40 components were identified by direct similarity searches. However, with the help of MCR and different chemometric methods, the numbers of all resolved components were extended to 63 and a total of 54 components were identified by reversed matching with reference spectra. Major constituents in D. moldavica were neral (22.10%), geraniol (5.28%), E-citral (30.40%), neryl acetate (2.68%), and geranyl acetate (29.59%). The results proved that combining MCR techniques with GC–MS produces a powerful tool for the analysis of complex samples.

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References

  1. Nikitina AS, Popova OI, Ushakova LS, Chumakova VV, Ivanova LI (2008) Studies of the essential oil of Dracocephalum moldavica cultivated in the stavropol region. Pharm Chem J 42:35–39

    Article  Google Scholar 

  2. Dastmalchi K, Damien Dorman HJ, Laakso I, Hiltunen R (2007) Chemical composition and antioxidative activity of Moldavian balm (Dracocephalum moldavica L.) extracts. LWT 40:1655–1663

    Article  CAS  Google Scholar 

  3. Zeng Q, Jin HZ, Fu JJ, Qin JJ, Hu XJ, Liu JH, Jin Hz (2010) Chemical constituents of plants from the genus Dracocephalum. Chem Biodivers 7:1911–1929

    Article  CAS  Google Scholar 

  4. Kakasy AZ, Lemberkovics E, Simándi B, Lelik L, Héthelyi E et al (2006) Comparative study of traditional essential oil and supercritical fluid extracts of Moldavian dragonhead (Dracocephalum moldavica L.). Flavour Fragr J 21:598–603

    Article  CAS  Google Scholar 

  5. Salisova M, Soma S, Mason TJ (1997) Comparison of conventional and ultrasonically assisted extractions of pharmaceutically active compounds from Salvia of ficinalis. Ultrason Sonochem 4:131–134

    Article  CAS  Google Scholar 

  6. Cuevas-Glory LF, Pino JA, Santiago LS, Sauri-Duch E (2007) A review of volatile analytical methods for determining the botanical origin of honey. Food Chem 103:1032–1043

    Article  CAS  Google Scholar 

  7. Luque de Castro MD, Priego-Capote F (2010) Soxhlet extraction: past and present panacea. J Chromatogr A 1217:2383–2389

    Article  CAS  Google Scholar 

  8. Omar J, Olivares M, Manuel Amigo J, Etxebarria N (2014) Resolution of co-eluting compounds of Cannabis sativa in comprehensive two-dimensional gas chromatography/mass spectrometry detection with multivariate curve resolution-alternating least squares. Talanta 121:273–280

    Article  CAS  Google Scholar 

  9. Azimi F, Fatemi MH (2016) Multivariate curve resolution-assisted GC–MS analysis of the volatile chemical constituents in Iranian Citrus aurantium L. peel. RSC Adv 6:111197–111209.10

    Article  CAS  Google Scholar 

  10. Asadollahi-Baboli M, Mani-Varnosfaderani A (2014) Chemometrics-assisted GC–MS analysis of volatile and semi-volatile constituents of Elettaria cardamomum. Food Anal Methods 7:1745–1754

    Article  Google Scholar 

  11. Jalali-Heravi M, Parastar H, Ebrahimi-Najafabadi H (2010) Self-modeling curve resolution techniques applied to comparative analysis of volatile components of Iranian saffron from different regions. Anal Chim Acta 662:143–154

    Article  CAS  Google Scholar 

  12. Jalali-Heravi M, Moazeni-Pourasil R, Sereshti H (2015) Elimination of chromatographic and mass spectrometric problems in GC–MS analysis of lavender essential oil by multivariate curve resolution techniques: improving the peak purity assessment by variable size moving window-evolving factor analysis. J Chromatogr A 983–984:83–89

    Google Scholar 

  13. Maeder M, Zilian A (1988) Evolving factor analysis, a new multivariate technique in chromatography. Chemom Intell Lab Syst 3:205–213

    Article  CAS  Google Scholar 

  14. Den W, Malinowski ER (1993) Investigation of copper (II)-Ethylenediamine tetraacetate complexation by window factor analysis of ultraviolet spectra. J Chemom 7:89–98

    Article  CAS  Google Scholar 

  15. Liang YZ, Kvalheim OM, Keller HR, Massart DL, Kiechle P et al (1992) Heuristic evolving latent projections: resolving two-way multicomponent data. 2. detection and resolution of minor constituents. Anal Chem 64:946–953

    Article  CAS  Google Scholar 

  16. Liang YZ, Kvalheim OM (1994) Diagnosis and resolution of multiwavelength chromatograms by rank map, orthogonal projections and sequential rank analysis. Anal Chim Acta 292:5–15

    Article  CAS  Google Scholar 

  17. Vandeginste B, Essers R, Bosman T, Reijnen J, Kateman G (1985) Three-component curve resolution in liquid chromatography with multiwavelength diode array detection. Anal Chem 57:971–985

    Article  CAS  Google Scholar 

  18. Izadmanesh Y, Garreta-Lara E, Ghasemi JB, Lacorte S, Tauler R (2017) Chemometric analysis of comprehensive two dimensional gas chromatography–mass spectrometry metabolomics data. J Chromatogr A 1488:113–125

    Article  CAS  Google Scholar 

  19. Karjalainen E (1989) The spectrum reconstruction problem: use of alternating regression for unexpected spectral components in two-dimensional spectroscopies. Chemom Intell Lab Syst 7:31–38

    Article  CAS  Google Scholar 

  20. Jalali-Heravi M, Moazeni RS, Sereshti H (2011) Analysis of Iranian rosemary essential oil: application of gas chromatography–mass spectrometry combined with chemometrics. J Chromatogr A 1218:2569–2576

    Article  CAS  Google Scholar 

  21. Ghaheri S, Masoum S, Gholami A (2016) Resolving of challenging gas chromatography–mass spectrometry peak clusters in fragrance samples using multicomponent factorization approaches based on polygon inflation algorithm. J Chromatogr A 1429:317–328

    Article  CAS  Google Scholar 

  22. Gong F, Liang YZ, Cui H, Chau FT, Chan BTP (2001) Determination of volatile components in peptic powder by gas chromatography–mass spectrometry and chemometric resolution. J Chromatogr A 909:237–247

    Article  CAS  Google Scholar 

  23. Pharmacopoea Europaea (2000) Nachtrag. Bologische Wertbestim-mungen. Deutscher Apotheker Verlag Stuttgart, Govi-Verlag-pharmazeutischer Verlag GmbH Eschborn, pp 87–90

  24. Adams RP (2007) Identification of essential oil components by gas chromatography/mass spectrometry. Allured Publishing Corporation, Carol Stream

    Google Scholar 

  25. Cook DW, Rutan SC, Stoll DR, Carr PW (2015) Two dimensional assisted liquid chromatography: a chemometric approach to improve accuracy and precision of quantitation in liquid chromatography using 2D separation, dual detectors, and multivariate curve resolution. Anal Chim Acta 859:87–95

    Article  CAS  Google Scholar 

  26. Hugelier S, Devos O, Ruckebusch C (2015) Constraining shape smoothness in multivariate curve resolution–alternating least squares. J Chemometrics 29:448–456

    Article  CAS  Google Scholar 

  27. Kvalheim OM, Liang YZ (1992) Heuristic evolving latent projections: resolving two-way multicomponent data. 1. Selectivity, latent-projective graph, datascope, local rank, and unique resolution. Anal Chem 64:936–946

    Article  CAS  Google Scholar 

  28. Shen H, Liang YZ, Kvalheim OM, Manne R (2000) Determination of chemical rank of two-way data from mixtures using subspace comparisons. Chemom Intell Lab Syst 51:49–59

    Article  CAS  Google Scholar 

  29. Maham M, Akbari H, Delazar A (2013) Chemical composition and antinociceptive effect of the essential oil of Dracocephalum moldavica L. Pharm Sci 18:187–192

    Google Scholar 

  30. Nikitina AS, Popova OI, Ushakova LS, Chumakova VV, Ivanova LI (2008) Studies of the essential oil of Dracocephalu mmoldavica cultivated in the stavropol region. Pharm Chem J 42:203–207

    Article  CAS  Google Scholar 

  31. Eaqub Ali Md, Abdur Razzak Md, Abd Hamid SB (2014) Multiplex PCR in species authentication: probability and prospects—a review. Food Anal Methods 7:1933–1949

    Article  Google Scholar 

  32. Chu SS, Liang Liu S, Liu QZ, Liu ZL, Du SS (2011) Composition and toxicity of Chinese Dracocephalum moldavica (Labiatae) essential oil against two grainstorage insects. J Med Plants Res 5:5262–5267

    CAS  Google Scholar 

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Correspondence to Fateme Tajabadi.

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An erratum to this article is available at http://dx.doi.org/10.1007/s10337-017-3353-8.

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10337_2017_3322_MOESM1_ESM.pdf

Fig. 1S (a)–(e) Resolved mass spectra of the corresponding components in peak cluster X. For brevity, the standard mass spectra are not shown and only the name of the identified compounds in the library and corresponding reverse match factors (RMF) are reported for each mass spectrum (PDF 520 kb)

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Tajabadi, F., Khalighi-Sigaroodi, F. & Rezazadeh, S. Improving Gas Chromatography–Mass Spectrometry Analysis of Essential Oils by Multivariate Curve Resolution: Full Identification of Co-eluting Compounds of Dracocephalum moldavica L.. Chromatographia 80, 1069–1077 (2017). https://doi.org/10.1007/s10337-017-3322-2

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  • DOI: https://doi.org/10.1007/s10337-017-3322-2

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