Detection of adulteration of sesame and peanut oils via volatiles by GC×GC-TOF/MS coupled with principal components analysis and cluster analysis

European Journal of Lipid Science and Technology

Volumn 115, Issue 3, 2013, Pages 337-347

  Zhao, Fangfang ^a   Liu, Jingkun ^a   Wang, Xiupin ^a,b   Li, Peiwu ^a,b   Zhang, Wen ^a,b   Zhang, Qi ^a,b  

^a INSTITUTE OF PLANT PROTECTION   (China)

^b AGRO ENVIRONMENTAL PROTECTION INSTITUTE   (China)

Author keywords

Adulteration; CA; GC GC TOF MS; PCA; Volatile compound

Indexed keywords

ARACHIS; ARACHIS HYPOGAEA; BRASSICA NAPUS; CORYLUS; GLYCINE MAX; SESAMUM INDICUM;

EID: 84875051550     PISSN: 14387697     EISSN: 14389312     Source Type: Journal    
DOI: 10.1002/ejlt.201200133     Document Type: Article

References (30)

1. Dhifi, W., Angerosa, F., Serraiocco, A., Oumar, I. et al., Virgin olive oil aroma: Characterization of some Tunisian cultivars. Food Chem. 2005, 93, 697- 701.
2. Luna, G., Morales, M. T., Aparicio, R., Characterisation of 39 varietal virgin olive oils by their volatile compositions. Food Chem. 2006, 98, 243- 252.
3. Mildner-Szkudlarz, S., Jelen, H. H., The potential of different techniques for volatile compounds analysis coupled with PCA for the detection of the adulteration of olive oil with hazelnut oil. Food Chem. 2008, 110, 751- 761.
4. Jung, M. Y., Bock, J. Y., Back, S. O., Lee, T. K., Kim, J. H., Pyrazine contents and oxidative stabilities of roasted soybean oils. Food Chem. 1997, 60, 95- 102.
5. Wang, L., Lee, F. S. C., Wang, X. R., He, Y., Feasibility study of quantifying and discriminating soybean oil adulteration in camellia oils by attenuated total reflectance MIR and fiber optic diffuse reflectance NIR. Food Chem. 2006, 95, 529- 536.
6. Al-Ismail, K. M., Alsaed, A. K., Ahmad, R., Al-Dabbas, M., Detection of olive oil adulteration with some vegetable oils by GLC analysis of sterols using polar column. Food Chem. 2010, 121, 1255- 1259.
7. Lai, Y. W., Kemsley, E. K., Wilson, R. H., Quantitative analysis of potential adulterants of extra virgin olive oil using infrared spectroscopy. Food Chem. 1995, 53, 95- 98.
8. Van Ruth, S. M., Villegas, B., Akkermans, W., Rozijn, M. et al., Prediction of the identity of fats and oils by their fatty acid, triacylglycerol and volatile compositions using PLS-DA. Food Chem. 2010, 118, 948- 955.
9. Christopoulou, E., Lazaraki, M., Komaitis, M., Kaselimis, K., Effectiveness of determinations of fatty acids and triglycerides for the detection of adulteration of olive oils with vegetable oils. Food Chem. 2004, 84, 463- 474.
10. Konstantina, I., Poulli, A. B., George, A., Mousdis, A., Constantinos, A., Georgiou, rapid synchronous fluorescence method for virgin olive oil adulteration assessment. Food Chem. 2007, 105, 369- 375.
11. 13C NMR and multivariate calibration with variable reduction. Anal. Chim. Acta 1997, 348, 357- 374.
12. Rohman, A., Che Man, Y. B., Fourier transform infrared (FTIR) spectroscopy for analysis of extra virgin olive oil adulterated with palm oil. Food Res. Int. 2010, 43, 886- 892.
13. Gurdeniz, G., Ozen, B., Detection of adulteration of extra-virgin olive oil by chemometric analysis of mid-infrared spectral data. Food Chem. 2009, 116, 519- 525.
14. Sinelli, N., Casale, M., Egidio, V. D., Oliveri, P. et al., Varietal discrimination of extra virgin olive oils by near and mid infrared spectroscopy. Food Res. Int. 2010, 43, 2126- 2131.
15. Casale, M., Armanino, C., Casolino, C., Forina, M., Combining information from headspace mass spectrometry and visible spectroscopy in the classification of the Ligurian olive oils. Anal. Chim. Acta 2007, 589, 89- 95.
16. Cajka, T., Riddellova, K., Klimankova, E., Cerna, M. et al., Traceability of olive oil based on volatiles pattern and multivariate analysis. Food Chem. 2010, 121, 282- 289.
17. López-Feria, S., Cárdenas, S., García-Mesa, J. A., Fernández-Hernández, A., Valcárcel, M., Quantification of the intensity of virgin olive oil sensory attributes by direct coupling headspace-mass spectrometry and multivariate calibration techniques. J. Chromatogr. A 2007, 1147, 144- 152.
18. Beltrán, A., Ramos, M., Grané, N., Mart, M. L., Garrigós, M. C., Monitoring the oxidation of almond oils by HS-SPME-GC-MS and ATR-FTIR: Application of volatile compounds determination to cultivar authenticity. Food Chem. 2011, 126, 603- 609.
19. Lasekan, O., Headspace solid-phase microextraction gas chromatography-mass spectrometry (HS-SPME-GCMS) determination of volatile compounds in roasted plantains (French sombre and Dwarf Kalapua). LWT - Food Sci. Technol. 2012, 46, 536- 541.
20. Petersen, K. D., Kleeberg, K. K., Jahreis, G., Fritsche, J., Assessment of the oxidative stability of conventional and high-oleic sunflower oil by means of solid-phase microextraction-gas chromatography. Int. J. Food Sci. Nutr. 2012, 63, 160- 169.
21. Jens, D., Beens, J., Brinkman, U. A. T., Comprehensive two-dimensional gas chromatography: A powerful and versatile analytical tool. J. Chromatogr. A 2003, 1000, 69- 108.
22. Van Mispelaar, V. G., Tas, A. C., Smilde, A. K., Schoenmakers, P. J., Van Asten, A. C., Quantitative analysis of target components by comprehensive two-dimensional gas chromatography. J. Chromatogr. A 2003, 1019, 15- 29.
23. Cheong, K. W., Tan, C. P., Mirhosseini, H., Chin, S. T. et al., Optimization of equilibrium headspace analysis of volatile flavor compounds of malaysian soursop (Annona muricata): Comprehensive two-dimensional gas chromatography time-of-flight mass spectrometry (GC×GC-TOF/MS). Food Chem. 2011, 125, 1481- 1489.
24. Hao, C. Y., Headley, J. V., Peru, K. M., Frank, R. et al., Characterization and pattern recognition of oil-sand naphthenic acids using comprehensive two-dimensional gas chromatography/time-of-flight mass spectrometry. J. Chromatogr. A 2005, 1067, 277- 284.
25. Gogus, F., Ozel, M. Z., Kocak, D., Hamilton, J. F., Lewis, A. C., Analysis of roasted and unroasted Pistacia terebinthus volatiles using direct thermal desorption-GC×GC-TOF/MS. Food Chem. 2011, 129, 1258- 1264.
26. 1H NMR spectra by pattern recognition analysis. LWT - Food Sci. Technol. 2009, 42, 1455- 1460.
27. Alonso-Salces, R. M., Herrero, C., Barranco, A., Berrueta, L. A. et al., Classification of apple fruits according to their maturity state by the pattern recognition analysis of their polyphenolic compositions. Food Chem. 2005, 93, 113- 123.
28. Cirlini, M., Caligiani, A., Palla, L., Palla, G., HS-SPME/GC-MS and chemometrics for the classification of Balsamic vinegars of Modena of different maturation and ageing. Food Chem. 2011, 124, 1678- 1683.
29. Tianniam, S., Tarachiwin, L., Bamba, T., Kobayashi, A., Fukusaki, E., Metabolic profiling of Angelica acutiloba roots utilizing gas chromatography-time-of-flight-mass spectrometry for quality assessment based on cultivation area and cultivar via multivariate pattern recognition. J. Biosci. Bioeng. 2008, 105, 655- 659.
30. Cajka, T., Hajslova, J., Pudil, F., Riddellova, K., Traceability of honey origin based on volatiles pattern processing by artificial neural networks. J. Chromatogr. A 2009, 1216, 1458- 1462.