Literature DB >> 24363270

Determination of aroma components in Chinese southwest tobacco by directly suspended droplet microextraction combined with GC-MS.

Lijun Wu1, Qianqian Li1, Chunzi Li1, Jinli Cao2, Yanqing Lai1, Kaixian Qiu1, Shungeng Min3.   

Abstract

In this paper, a simple and efficient approach, directly suspended droplet microextraction (DSDME), has been applied to extract aroma components in Chinese southwest tobacco prior to analysis by gas chromatography-mass spectrometry (GC-MS). The extraction parameters such as organic solvent type, extraction time, temperature, stirring speed and volume were systemically optimized. A single drop of cyclohexane was placed on the top of the aqueous sample which was used as solvent. Under the optimal conditions of DSDME, 62 aroma components of tobacco were analyzed and identified by GC-MS. The approach was used to determine some important aromas in tobacco with the relative recoveries ranged from 75.92 to 102.88%, relative standard deviations in the range of 3.40-7.14% (n = 5) and the limits of detection of 0.0002-0.002 μg/mL. Moreover, the DSDME was applied to identify the aromatic components in Chinese southwest tobacco in this research for the first time and the results suggested that the method can be used as rapid determination of the tobacco. This method can enhance the extracting rate of tobacco aromatic components and meet the need of qualitative analysis of large amount samples.
© The Author [2013]. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

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Year:  2013        PMID: 24363270     DOI: 10.1093/chromsci/bmt170

Source DB:  PubMed          Journal:  J Chromatogr Sci        ISSN: 0021-9665            Impact factor:   1.618


  1 in total

1.  Carotenoid-Related Volatile Compounds of Tobacco (Nicotiana tabacum L.) Essential Oils.

Authors:  Venelina Popova; Tanya Ivanova; Tsvetko Prokopov; Milena Nikolova; Albena Stoyanova; Valtcho D Zheljazkov
Journal:  Molecules       Date:  2019-09-23       Impact factor: 4.411

  1 in total

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