Abstract
The profiling of volatile organic components (VOCs) has been investigated by gas chromatography–mass spectrometry (GC–MS) analysis and applied for the discrimination of green teas from different geographical origins. The VOCs were extracted from the dried tea leaves by headspace solid-phase microextraction procedure and followed by GC–MS analysis. Tea samples from different origins were correctly discriminated according to their GC–MS profiling of VOCs by principal component analysis, cluster analysis, and linear discriminant analysis. Our results demonstrate that the developed method in this study can be used to discriminate the green tea samples from different geographical origins with high reliability.
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References
Chen QS, Zhao JW, Lin H (2009) Spectrochim Acta A 72:845–850
Fernandez-Caceres PL, Martin MJ, Pablos F, Gonzalez AG (2001) J Agric Food Chem 49:4775–4779
Fernandez PL, Pablos F, Martin M, Gonzalez AG (2002) J Agric Food Chem 50:1833–1839
He W, Hu XS, Zhao L, Liao XJ, Zhang Y, Zhang MW, Wu JH (2009) Food Res Int 42:1462–1467
Kodama S, Ito Y, Nagase H, Yamashita T, Kemmei T, Yamamato A, Hayakawa K (2007) J Health Sci 53:491–495
Kovacs Z, Dalmadi I, Lukacs L, Sipos L, Szantai-Kohegyi K, Kokai Z, Fekete A (2010) J Chemometr 24:121–130
Liu SL, Tsai YS, Ou AS (2010) J Food Drug Anal 18:34–43
Moreda-Pineiro A, Fisher A, Hill SJ (2003) J Food Compos Anal 16:195–211
Owuor PO, Obanda M, Nyirenda HE, Mandala WL (2008) Food Chem 108:263–271
Pilgrim TS, Watling RJ, Grice K (2010) Food Chem 118:921–926
Pongsuwan W, Fukusaki E, Bamba T, Yonetani T, Yamahara T, Kobayashi A (2007) J Agric Food Chem 55:231–236
Rawat R, Gulati A, Babu GDK, Acharya R, Kaul VK, Singh B (2007) Food Chem 105:229–235
Wang LF, Lee JY, Chung JO, Baik JH, So S, Park SK (2008) Food Chem 109:196–206
Ye NS (2010) Chromatographia 71:529–532
Ye NS, Zhang LQ, Gu XX (2011) Anal Sci 27:765–769
Acknowledgments
The work was supported by the National Natural Science Foundation of China (No. 21005050), the Scientific Research Common Program of Beijing Municipal Commission of Education (No. KM201010028009), and the Funding Project for Academic Human Resources Development in Institutions of Higher Learning under the Jurisdiction of Beijing Municipality (no. PHR20100718 and no. PHR201108147).
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Ye, N., Zhang, L. & Gu, X. Discrimination of Green Teas from Different Geographical Origins by Using HS-SPME/GC–MS and Pattern Recognition Methods. Food Anal. Methods 5, 856–860 (2012). https://doi.org/10.1007/s12161-011-9319-9
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DOI: https://doi.org/10.1007/s12161-011-9319-9