Time filter

Source Type

Wu L.,Yunnan Academy of Tobacco Science | He Z.,Yunnan Academy of Tobacco Science | Wu Y.,Yunnan Academy of Tobacco Science | Liu J.,Yunnan Academy of Tobacco Science | And 4 more authors.
Asian Journal of Chemistry | Year: 2013

In this paper, a simple method of headspace analysis (HSA) was applied to determine aroma components in Chinese southwest tobacco. Ninety-seven aroma compounds were extracted from tobacco under optimized experimental conditions. Meanwhile, it took 4 h for traditional method namely simultaneous distillation and extraction (SDE) for analysis, which is time-consuming and a waste of solvent. Compared with simultaneous distillation and extraction, headspace analysis is faster and more convenient in extracting tobacco aroma compounds. Moreover, six aroma compounds were first proposed in the research. The main aromatic components in tobacco detected by headspace can evaluate the tobacco quality and distinguish a specific variety from others. Headspace analysis method was proposed as an easy, rapid and environment-friendly method for the determination of aroma components in tobacco. The proposed method can not only enhance the extracting rate of aromas but meet the demand of qualitative analysis.


Wu L.,China Agricultural University | Duan J.,China Agricultural University | Li Q.,China Agricultural University | Cao J.,Tobacco Corporation of Yunnan Dali | And 2 more authors.
Acta Chimica Sinica | Year: 2012

The volatile components in tobacco leaves were extracted by simultaneous distillation and extraction (SDE), and analyzed by gas chromatography-mass spectrometry (GC-MS). The volatile components in tobacco leaves were identified by library searching and spectral matching combined with retention index. Ion trap tandem mass spectrometry was introduced to identify some components which had tiny difference of library matching, low concentration, and complex matrix. 144 components were identified by library searching, spectral matching and ion trap tandem mass spectrometry in this paper. And 104 volatile components have been reported, 9 of them were identified by ion trap tandem mass spectrometry, the other 40 components have not been reported in the literature. So ion trap tandem mass spectrometry is the precise and reliable method to identify some unknown components, and is suitable for separation and identification of complex system.


Wu L.,China Agricultural University | Liu W.,China Agricultural University | Cao J.,Tobacco Corporation of Yunnan Dali | Li Q.,China Agricultural University | And 2 more authors.
Analytical Methods | Year: 2013

The aroma components in tobacco were extracted by simultaneous distillation and extraction, and analyzed by gas chromatography/mass spectrometry. An automated mass spectral deconvolution and identification system (AMDIS) was used to analyze the data from the full scan mode. AMDIS system could effectively resolve the problem of matrix interference, analyze low concentrations of aroma components in complex samples, and help to remove the interference of overlapping components. In studying 132 real samples, fifty-eight aroma components of each sample were identified by the AMDIS method as reported in this paper. The relative concentrations of seventeen aroma components relative to neophytadien were less than 0.028%. Among all the aromas, 21 had a complicated background, and the other 10 aroma components were not separated completely by the chromatographic method. This study shows that AMDIS is a powerful tool which has the potential to be a comprehensive method for revealing the quality and quantity of chemical constituents of cut tobacco samples from different sources. In this paper, the AMDIS method was used to identify pure components from a complex spectrum and then compare the mass spectra with a reference library. This method shows potential for rapid analysis of components in various complex matrices. © 2013 The Royal Society of Chemistry.

Loading Tobacco Corporation of Yunnan Dali collaborators
Loading Tobacco Corporation of Yunnan Dali collaborators