Literature DB >> 17723597

Comparative analysis of the volatile components in cut tobacco from different locations with gas chromatography-mass spectrometry (GC-MS) and combined chemometric methods.

Lan-Fang Huang1, Ke-Jun Zhong, Xian-Jun Sun, Ming-Jian Wu, Ke-Long Huang, Yi-Zeng Liang, Fang-Qiu Guo, Ya-Wen Li.   

Abstract

A combined approach of subwindow factor analysis and orthogonal projection resolution was used to analyze the volatile components of cut tobacco samples from different sources. After extracted with simultaneous distillation and extraction method, the volatile components in cut tobacco from five different locations were detected by GC-MS. Then, the qualitative and quantitative analysis of the volatile components of cut tobacco from Changde area was completed with the help of subwindow factor analysis resolving two-dimensional original data into pure mass spectra and chromatograms. One hundred and two volatile components among 138 separated peaks were identified and quantified, accounting for about 88.90% of the total content. Finally, orthogonal projection method was used to extract the common peaks from different locations. Among the identified components, there were 74 components coexisting in five studied samples although the relative content of each component showed difference to some extent. The results showed a fair consistency in their GC-MS fingerprints. It was the first time to apply orthogonal projection method to compare different cut tobacco samples, and it reduced the burden of qualitative analysis as well as the subjectivity. The obtained results proved the combined approach powerful for the analysis of complex cut tobacco samples. The developed method can be used to compare the sameness and differences of cut tobacco from different sources and for quality control of cigarette production and materials.

Entities:  

Year:  2006        PMID: 17723597     DOI: 10.1016/j.aca.2006.05.079

Source DB:  PubMed          Journal:  Anal Chim Acta        ISSN: 0003-2670            Impact factor:   6.558


  2 in total

1.  Identification of Cigarette Brands by Soft Independent Modeling of Class Analogy of Volatile Substances.

Authors:  Zuzana Zelinkova; Thomas Wenzl
Journal:  Nicotine Tob Res       Date:  2020-05-26       Impact factor: 4.244

2.  Cytotoxic components of Pereskia bleo (Kunth) DC. (Cactaceae) leaves.

Authors:  Sri Nurestri Abdul Malek; Sim Kae Shin; Norhanom Abdul Wahab; Hashim Yaacob
Journal:  Molecules       Date:  2009-05-06       Impact factor: 4.411

  2 in total

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